Mathematical Problems in Engineering The latest articles from Hindawi Publishing Corporation © 2015 , Hindawi Publishing Corporation . All rights reserved. Parameter Estimation of Induction Machine at Standstill Using Two-Stage Recursive Least Squares Method Thu, 26 Nov 2015 13:46:37 +0000 This paper presents a two-stage recursive least squares (TSRLS) algorithm for the electric parameter estimation of the induction machine (IM) at standstill. The basic idea of this novel algorithm is to decouple an identifying system into two subsystems by using decomposition technique and identify the parameters of each subsystem, respectively. The TSRLS is an effective implementation of the recursive least squares (RLS). Compared with the conventional (RLS) algorithm, the TSRLS reduces the number of arithmetic operations. Experimental results verify the effectiveness of the proposed TSRLS algorithm for parameter estimation of IMs. Jinliang Zhang, Longyun Kang, Lingyu Chen, and Zhihui Xu Copyright © 2015 Jinliang Zhang et al. All rights reserved. Consensus of Second-Order Multiagent Systems with Fixed Topology and Time-Delay Thu, 26 Nov 2015 09:50:42 +0000 We are concerned with the consensus problems for networks of second-order agents, where each agent can only access the relative position information from its neighbours. We aim to find the largest tolerable input delay such that the system consensus can be reached. We introduce a protocol with time-delay and fixed topology. A sufficient and necessary condition is given to guarantee the consensus. By using eigenvector-eigenvalue method and frequency domain method, it is proved that the largest tolerable time-delay is only related to the eigenvalues of the graph Laplacian. And simulation results are also provided to demonstrate the effectiveness of our theoretical results. Xue Li, Huai Wu, and Yikang Yang Copyright © 2015 Xue Li et al. All rights reserved. A Wind Power and Load Prediction Based Frequency Control Approach for Wind-Diesel-Battery Hybrid Power System Thu, 26 Nov 2015 09:36:07 +0000 A frequency control approach based on wind power and load power prediction information is proposed for wind-diesel-battery hybrid power system (WDBHPS). To maintain the frequency stability by wind power and diesel generation as much as possible, a fuzzy control theory based wind and diesel power control module is designed according to wind power and load prediction information. To compensate frequency fluctuation in real time and enhance system disturbance rejection ability, a battery energy storage system real-time control module is designed based on ADRC (active disturbance rejection control). The simulation experiment results demonstrate that the proposed approach has a better disturbance rejection ability and frequency control performance compared with the traditional droop control approach. Chao Peng, Zhenzhen Zhang, and Jia Wu Copyright © 2015 Chao Peng et al. All rights reserved. 3-Dimensional Stochastic Seepage Analysis of a Yangtze River Embankment Thu, 26 Nov 2015 07:51:20 +0000 Three-dimensional stochastic simulation was performed to investigate the complexity of the seepage field of an embankment. Three-dimensional anisotropic heterogeneous steady state random seepage finite element model was developed. The material input data were derived from a statistical analysis of strata soil characteristics and geological columns. The Kolmogorov-Smirnov test was used to validate the hypothesis that the Gaussian probability distribution is applicable to the random permeability tensors. A stochastic boundary condition, the random variation of upstream and downstream water level, was taken into account in the three-dimensional finite element modelling. Furthermore, the functions of sheet-pile breakwater and catchwater were also incorporated as turbulent sources. This case, together with the variability of soil permeability, has been analyzed to investigate their influence on the hydraulic potential distributed and the random evolution of stochastic seepage field. Results from stochastic analyses have also been compared against those of deterministic analyses. The insights gained in this study suggest it is necessary, feasible, and practical to employ stochastic studies in seepage field problems. The method provides a more comprehensive stochastic algorithm than conventional ones to characterize and analyze three-dimensional random seepage field problems. Yajun Wang Copyright © 2015 Yajun Wang. All rights reserved. Out-of-Plane Elastic Waves in 2D Models of Solids: A Case Study for a Nonlocal Discretization Scheme with Reduced Numerical Dispersion Wed, 25 Nov 2015 13:41:46 +0000 The paper addresses the problem of numerical dispersion in simulations of wave propagation in solids. This characteristic of numerical models results from both spatial discretization and temporal discretization applied to carry out transient analyses. A denser mesh of degrees of freedom could be a straightforward solution to mitigate numerical dispersion, since it provides more advantageous relation between the model length scale and considered wavelengths. However, this approach also leads to higher computational effort. An alternative approach is the application of nonlocal discretization schemes, which employ a relatively sparse spatial distribution of nodes. Numerical analysis carried out to study the propagation of elastic waves in isotropic solid materials is demonstrated. Fourier-based nonlocal discretization for continuum mechanics is introduced for a two-dimensional model undergoing out-of-plane wave propagation. The results show gradual increase of the effectiveness of this approach while expanding the region of nonlocal interactions in the numerical model. A challenging case of high ratio between the model length scale and wavelength is investigated to present capability of the proposed approach. The elaborated discretization method also provides the perspective of accurate representation of any arbitrarily shaped dispersion relation based on physical properties of modelled materials. Adam Martowicz, Massimo Ruzzene, Wieslaw J. Staszewski, Julian J. Rimoli, and Tadeusz Uhl Copyright © 2015 Adam Martowicz et al. All rights reserved. Macroscopic/Mesoscopic Computational Materials Science Modeling and Engineering Wed, 25 Nov 2015 13:07:23 +0000 Jian-Ming Lu, Jyh-Ming Ting, Mo Li, and Eugene Kogan Copyright © 2015 Jian-Ming Lu et al. All rights reserved. Real-Time Track Reallocation for Emergency Incidents at Large Railway Stations Wed, 25 Nov 2015 12:52:40 +0000 After track capacity breakdowns at a railway station, train dispatchers need to generate appropriate track reallocation plans to recover the impacted train schedule and minimize the expected total train delay time under stochastic scenarios. This paper focuses on the real-time track reallocation problem when tracks break down at large railway stations. To represent these cases, virtual trains are introduced and activated to occupy the accident tracks. A mathematical programming model is developed, which aims at minimizing the total occupation time of station bottleneck sections to avoid train delays. In addition, a hybrid algorithm between the genetic algorithm and the simulated annealing algorithm is designed. The case study from the Baoji railway station in China verifies the efficiency of the proposed model and the algorithm. Numerical results indicate that, during a daily and shift transport plan from 8:00 to 8:30, if five tracks break down simultaneously, this will disturb train schedules (result in train arrival and departure delays). Wei Liu, Xiaoning Zhu, and Liujiang Kang Copyright © 2015 Wei Liu et al. All rights reserved. The Application of Time-Delay Dependent Control Model in Manufacturing Decision Optimization Wed, 25 Nov 2015 08:45:47 +0000 This paper uses a time-delay dependent control model to analyze the effect of manufacturing decisions on the process of transmission from resources to capability. We establish a theoretical framework of manufacturing management process based on three terms: resource, manufacturing decision, and capability. Then we build a time-delay robust control model to analyze the robustness of manufacturing management. With the state feedback controller between manufacturing resources and decision, we find that there is an optimal decision to adjust the process of transmission from resources to capability under uncertain environment. Finally, we provide an example to prove the robustness of this model. Haifeng Guo, Bo Wang, Jianhua Zhang, Song Chen, and Yi Qiu Copyright © 2015 Haifeng Guo et al. All rights reserved. Military Simulation Big Data: Background, State of the Art, and Challenges Tue, 24 Nov 2015 11:50:19 +0000 Big data technology has undergone rapid development and attained great success in the business field. Military simulation (MS) is another application domain producing massive datasets created by high-resolution models and large-scale simulations. It is used to study complicated problems such as weapon systems acquisition, combat analysis, and military training. This paper firstly reviewed several large-scale military simulations producing big data (MS big data) for a variety of usages and summarized the main characteristics of result data. Then we looked at the technical details involving the generation, collection, processing, and analysis of MS big data. Two frameworks were also surveyed to trace the development of the underlying software platform. Finally, we identified some key challenges and proposed a framework as a basis for future work. This framework considered both the simulation and big data management at the same time based on layered and service oriented architectures. The objective of this review is to help interested researchers learn the key points of MS big data and provide references for tackling the big data problem and performing further research. Xiao Song, Yulin Wu, Yaofei Ma, Yong Cui, and Guanghong Gong Copyright © 2015 Xiao Song et al. All rights reserved. A Rank-Constrained Matrix Representation for Hypergraph-Based Subspace Clustering Tue, 24 Nov 2015 11:21:29 +0000 This paper presents a novel, rank-constrained matrix representation combined with hypergraph spectral analysis to enable the recovery of the original subspace structures of corrupted data. Real-world data are frequently corrupted with both sparse error and noise. Our matrix decomposition model separates the low-rank, sparse error, and noise components from the data in order to enhance robustness to the corruption. In order to obtain the desired rank representation of the data within a dictionary, our model directly utilizes rank constraints by restricting the upper bound of the rank range. An alternative projection algorithm is proposed to estimate the low-rank representation and separate the sparse error from the data matrix. To further capture the complex relationship between data distributed in multiple subspaces, we use hypergraph to represent the data by encapsulating multiple related samples into one hyperedge. The final clustering result is obtained by spectral decomposition of the hypergraph Laplacian matrix. Validation experiments on the Extended Yale Face Database B, AR, and Hopkins 155 datasets show that the proposed method is a promising tool for subspace clustering. Yubao Sun, Zhi Li, and Min Wu Copyright © 2015 Yubao Sun et al. All rights reserved. A Fourier Continuation Method for the Solution of Elliptic Eigenvalue Problems in General Domains Tue, 24 Nov 2015 11:17:35 +0000 We present a new computational method for the solution of elliptic eigenvalue problems with variable coefficients in general two-dimensional domains. The proposed approach is based on use of the novel Fourier continuation method (which enables fast and highly accurate Fourier approximation of nonperiodic functions in equispaced grids without the limitations arising from the Gibbs phenomenon) in conjunction with an overlapping patch domain decomposition strategy and Arnoldi iteration. A variety of examples demonstrate the versatility, accuracy, and generality of the proposed methodology. Oscar P. Bruno, Timothy Elling, and Ayon Sen Copyright © 2015 Oscar P. Bruno et al. All rights reserved. Effect of Fluctuating Surface Heat and Mass Flux on Natural Convection Flow along a Vertical Flat Plate Tue, 24 Nov 2015 09:39:21 +0000 An investigation has been carried on double diffusive effect on boundary layer flow due to small amplitude oscillation in surface heat and mass flux. Extensive parametric simulations were performed in order to elucidate the effects of some important parameters, that is, Prandtl number, Schmidt number, and Buoyancy ratio parameter on flow field in conjunction with heat and mass transfer. Asymptotic solutions for low and high frequencies are obtained for the conveniently transformed governing coupled equations. Solutions are also obtained for wide ranged value of the frequency parameters. Comparisons between the asymptotic and wide ranged values are made in terms of the amplitudes and phases of the shear stress, surface heat transfer, and surface mass transfer. It has been found that the amplitudes and phase angles obtained from asymptotic solutions are found in good agreement with the finite difference solutions obtained for wide ranged value of the frequency parameter. Sharmina Hussain, Nepal C. Roy, Md. Anwar Hossain, and Suvash C. Saha Copyright © 2015 Sharmina Hussain et al. All rights reserved. Traveling Wave Solutions of a Generalized Camassa-Holm Equation: A Dynamical System Approach Tue, 24 Nov 2015 07:05:37 +0000 We investigate a generalized Camassa-Holm equation : . We show that the equation can be reduced to a planar polynomial differential system by transformation of variables. We treat the planar polynomial differential system by the dynamical systems theory and present a phase space analysis of their singular points. Two singular straight lines are found in the associated topological vector field. Moreover, the peakon, peakon-like, cuspon, smooth soliton solutions of the generalized Camassa-Holm equation under inhomogeneous boundary condition are obtained. The parametric conditions of existence of the single peak soliton solutions are given by using the phase portrait analytical technique. Asymptotic analysis and numerical simulations are provided for single peak soliton, kink wave, and kink compacton solutions of the equation. Lina Zhang and Tao Song Copyright © 2015 Lina Zhang and Tao Song. All rights reserved. Research on Francis Turbine Modeling for Large Disturbance Hydropower Station Transient Process Simulation Mon, 23 Nov 2015 14:05:33 +0000 In the field of hydropower station transient process simulation (HSTPS), characteristic graph-based iterative hydroturbine model (CGIHM) has been widely used when large disturbance hydroturbine modeling is involved. However, by this model, iteration should be used to calculate speed and pressure, and slow convergence or no convergence problems may be encountered for some reasons like special characteristic graph profile, inappropriate iterative algorithm, or inappropriate interpolation algorithm, and so forth. Also, other conventional large disturbance hydroturbine models are of some disadvantages and difficult to be used widely in HSTPS. Therefore, to obtain an accurate simulation result, a simple method for hydroturbine modeling is proposed. By this method, both the initial operating point and the transfer coefficients of linear hydroturbine model keep changing during simulation. Hence, it can reflect the nonlinearity of the hydroturbine and be used for Francis turbine simulation under large disturbance condition. To validate the proposed method, both large disturbance and small disturbance simulations of a single hydrounit supplying a resistive, isolated load were conducted. It was shown that the simulation result is consistent with that of field test. Consequently, the proposed method is an attractive option for HSTPS involving Francis turbine modeling under large disturbance condition. Guangtao Zhang, Yuanchu Cheng, and Na Lu Copyright © 2015 Guangtao Zhang et al. All rights reserved. A CDT-Based Heuristic Zone Design Approach for Economic Census Investigators Mon, 23 Nov 2015 12:06:48 +0000 This paper addresses a special zone design problem for economic census investigators that is motivated by a real-world application. This paper presented a heuristic multikernel growth approach via Constrained Delaunay Triangulation (CDT). This approach not only solved the barriers problem but also dealt with the polygon data in zoning procedure. In addition, it uses a new heuristic method to speed up the zoning process greatly on the premise of the required quality of zoning. At last, two special instances for economic census were performed, highlighting the performance of this approach. Changixu Cheng, Xiaomei Song, Jing Yang, Xiatian Hu, Shi Shen, and Lijun Wang Copyright © 2015 Changixu Cheng et al. All rights reserved. Convergence Improved Lax-Friedrichs Scheme Based Numerical Schemes and Their Applications in Solving the One-Layer and Two-Layer Shallow-Water Equations Mon, 23 Nov 2015 09:27:42 +0000 The first-order Lax-Friedrichs (LF) scheme is commonly used in conjunction with other schemes to achieve monotone and stable properties with lower numerical diffusion. Nevertheless, the LF scheme and the schemes devised based on it, for example, the first-order centered (FORCE) and the slope-limited centered (SLIC) schemes, cannot achieve a time-step-independence solution due to the excessive numerical diffusion at a small time step. In this work, two time-step-convergence improved schemes, the C-FORCE and C-SLIC schemes, are proposed to resolve this problem. The performance of the proposed schemes is validated in solving the one-layer and two-layer shallow-water equations, verifying their capabilities in attaining time-step-independence solutions and showing robustness of them in resolving discontinuities with high-resolution. Xinhua Lu, Bingjiang Dong, Bing Mao, and Xiaofeng Zhang Copyright © 2015 Xinhua Lu et al. All rights reserved. Analytical Solution of General Bagley-Torvik Equation Mon, 23 Nov 2015 09:25:52 +0000 Bagley-Torvik equation appears in viscoelasticity problems where fractional derivatives seem to play an important role concerning empirical data. There are several works treating this equation by using numerical methods and analytic formulations. However, the analytical solutions presented in the literature consider particular cases of boundary and initial conditions, with inhomogeneous term often expressed in polynomial form. Here, by using Laplace transform methodology, the general inhomogeneous case is solved without restrictions in boundary and initial conditions. The generalized Mittag-Leffler functions with three parameters are used and the solutions presented are expressed in terms of Wiman’s functions and their derivatives. William Labecca, Osvaldo Guimarães, and José Roberto C. Piqueira Copyright © 2015 William Labecca et al. All rights reserved. Adaptive Fusion Design Using Multiscale Unscented Kalman Filter Approach for Multisensor Data Fusion Mon, 23 Nov 2015 06:55:18 +0000 In order to improve the reliability of measurement data, the multisensor data fusion technology has progressed greatly in improving the accuracy of measurement data. This paper utilizes the real-time, recursive, and optimal estimation characteristics of unscented Kalman filter (UKF), as well as the unique advantages of multiscale wavelet transform decomposition in data analysis to effectively integrate observational data from multiple sensors. A new multiscale UKF-based multisensor data fusion algorithm is proposed by combining the UKF with multiscale signal analysis. Firstly, model-based UKF is introduced into the multiple sensors, and then the model is decomposed at multiple scales onto the coarse scale with wavelets. Next, signals decomposed from fine to coarse scales are adjusted using the denoised observational data from corresponding sensors and reconstructed with wavelets to obtain the fused signals. Finally, the processed data are fused using adaptive weighted fusion algorithm. Comparison of simulation and experimental results shows that the proposed method can effectively improve the antijamming capability of the measurement system and ensure the reliability and accuracy of sensor measurement system compared to the use of data fusion algorithm alone. Huadong Wang and Shi Dong Copyright © 2015 Huadong Wang and Shi Dong. All rights reserved. The -Reflexive Solution to System of Matrix Equations , Mon, 23 Nov 2015 06:53:43 +0000 Let and be Hermitian and -potent matrices; that is, and where stands for the conjugate transpose of a matrix. A matrix is called -reflexive (antireflexive) if . In this paper, the system of matrix equations and subject to -reflexive and antireflexive constraints is studied by converting into two simpler cases: and We give the solvability conditions and the general solution to this system; in addition, the least squares solution is derived; finally, the associated optimal approximation problem for a given matrix is considered. Chang-Zhou Dong and Qing-Wen Wang Copyright © 2015 Chang-Zhou Dong and Qing-Wen Wang. All rights reserved. Failure Probability Model considering the Effect of Intermediate Principal Stress on Rock Strength Mon, 23 Nov 2015 05:46:58 +0000 A failure probability model is developed to describe the effect of the intermediate principal stress on rock strength. Each shear plane in rock samples is considered as a micro-unit. The strengths of these micro-units are assumed to match Weibull distribution. The macro strength of rock sample is a synthetic consideration of all directions’ probabilities. New model reproduces the typical phenomenon of intermediate principal stress effect that occurs in some true triaxial experiments. Based on the new model, a strength criterion is proposed and it can be regarded as a modified Mohr-Coulomb criterion with a uniformity coefficient. New strength criterion can quantitatively reflect the intermediate principal stress effect on rock strength and matches previously published experimental results better than common strength criteria. Yonglai Zheng and Shuxin Deng Copyright © 2015 Yonglai Zheng and Shuxin Deng. All rights reserved. Numerical Simulation Characteristics of Logging Response in Water Injection Well by Reproducing Kernel Method Sun, 22 Nov 2015 13:58:06 +0000 Reproducing kernel Hilbert space method (RKHSM) is an effective method. This paper, for the first time, uses the traditional RKHSM for solving the temperature field in two phase flows of multilayer water injection well. According to 2D oil-water temperature field mathematical model of two phase flows in cylindrical coordinates, selecting the properly initial and boundary conditions, by the process of Gram-Schmidt orthogonalization, the analytical solution was given by reproducing kernel functions in a series expansion form, and the approximate solution was expressed by -term summation. The satisfied numerical results were carried out by Mathematica 7.0, showing that the larger the difference between injected water temperature and initial borehole temperature or water injection conditions, the more obvious the indication of water accepting zones. The numerical examples evidence the feasibility and effectiveness of the proposed method of the two phase flows in engineering. Ming-Jing Du, Yu-Lan Wang, and Temuer Chaolu Copyright © 2015 Ming-Jing Du et al. All rights reserved. Effect of Unequal Lot Sizes, Variable Setup Cost, and Carbon Emission Cost in a Supply Chain Model Sun, 22 Nov 2015 11:55:22 +0000 Due to heavy transportation for single-setup multidelivery (SSMD) policy in supply chain management, this model assumes carbon emission cost to obtain a realistic behavior for world environment. The transportation for buyer and vendor is considered along with setup cost reduction by using an investment function. It is assumed that the shipment lot size of each delivery is unequal and variable. The buyer inspects all received products and returns defective items to vendor for reworking process. Because of this policy, end customers will only obtain nondefective items. The analytical optimization is considered to obtain the optimum solution of the model. The main goal of this paper is to reduce the total cost by considering carbon emission during the transportation. A numerical example, graphical representation, and sensitivity analysis are given to illustrate the model. Biswajit Sarkar, Sharmila Saren, Debjani Sinha, and Sun Hur Copyright © 2015 Biswajit Sarkar et al. All rights reserved. Extended FRAM by Integrating with Model Checking to Effectively Explore Hazard Evolution Sun, 22 Nov 2015 07:54:07 +0000 Functional Resonance Analysis Method (FRAM), which defines a systemic framework to model complex systems from the perspective of function and views accidents as emergent phenomenon of function’s variability, is playing an increasingly significant role in the development of systemic accident theory. However, as FRAM is typically taken as a theoretic method, there is a lack of specific approaches or supportive tools to bridge the theory and practice. To fill the gap and contribute to the development of FRAM, (1) function’s variability was described further, with the rules of interaction among variability of different functions being determined and (2) the technology of model checking (MC) was used for the analysis of function’s variability to automatically search the potential paths that could lead to hazards. By means of MC, system’s behaviors (normal or abnormal) are simulated and the counter example(s) that violates the safety constraints and requirements can be provided, if there is any, to improve the system design. The extended FRAM approach was applied to a typical air accident analysis, with more details drawn than the conclusions in the accident report issued officially by Agenzia Nazionale per la Sicurezza del Volo (ANSV). Guihuan Duan, Jin Tian, and Juyi Wu Copyright © 2015 Guihuan Duan et al. All rights reserved. Parameter Determination of Milling Process Using a Novel Teaching-Learning-Based Optimization Algorithm Sun, 22 Nov 2015 07:25:52 +0000 Cutting parameter optimization dramatically affects the production time, cost, profit rate, and the quality of the final products, in milling operations. Aiming to select the optimum machining parameters in multitool milling operations such as corner milling, face milling, pocket milling, and slot milling, this paper presents a novel version of TLBO, TLBO with dynamic assignment learning strategy (DATLBO), in which all the learners are divided into three categories based on their results in “Learner Phase”: good learners, moderate learners, and poor ones. Good learners are self-motivated and try to learn by themselves; each moderate learner uses a probabilistic approach to select one of good learners to learn; each poor learner also uses a probabilistic approach to select several moderate learners to learn. The CEC2005 contest benchmark problems are first used to illustrate the effectiveness of the proposed algorithm. Finally, the DATLBO algorithm is applied to a multitool milling process based on maximum profit rate criterion with five practical technological constraints. The unit time, unit cost, and profit rate from the Handbook (HB), Feasible Direction (FD) method, Genetic Algorithm (GA) method, five other TLBO variants, and DATLBO are compared, illustrating that the proposed approach is more effective than HB, FD, GA, and five other TLBO variants. Zhibo Zhai, Shujuan Li, and Yong Liu Copyright © 2015 Zhibo Zhai et al. All rights reserved. A Bee Colony Optimization Approach for Mixed Blocking Constraints Flow Shop Scheduling Problems Sun, 22 Nov 2015 07:12:56 +0000 The flow shop scheduling problems with mixed blocking constraints with minimization of makespan are investigated. The Taguchi orthogonal arrays and path relinking along with some efficient local search methods are used to develop a metaheuristic algorithm based on bee colony optimization. In order to compare the performance of the proposed algorithm, two well-known test problems are considered. Computational results show that the presented algorithm has comparative performance with well-known algorithms of the literature, especially for the large sized problems. Mostafa Khorramizadeh and Vahid Riahi Copyright © 2015 Mostafa Khorramizadeh and Vahid Riahi. All rights reserved. Maintaining Connectivity of MANETs through Multiple Unmanned Aerial Vehicles Sun, 22 Nov 2015 07:04:44 +0000 Recently, Unmanned Aerial Vehicles (UAVs) have emerged as relay platforms to maintain the connectivity of ground mobile ad hoc networks (MANETs). However, when deploying UAVs, existing methods have not consider one situation that there are already some UAVs deployed in the field. In this paper, we study a problem jointing the motion control of existing UAVs and the deployment of new UAVs so that the number of new deployed UAVs to maintain the connectivity of ground MANETs can be minimized. We firstly formulate the problem as a Minimum Steiner Tree problem with Existing Mobile Steiner points under Edge Length Bound constraints (MST-EMSELB) and prove the NP completeness of this problem. Then we propose three Existing UAVs Aware (EUA) approximate algorithms for the MST-EMSELB problem: Deploy-Before-Movement (DBM), Move-Before-Deployment (MBD), and Deploy-Across-Movement (DAM) algorithms. Both DBM and MBD algorithm decouple the joint problem and solve the deployment and movement problem one after another, while DAM algorithm optimizes the deployment and motion control problem crosswise and solves these two problems simultaneously. Simulation results demonstrate that all EUA algorithms have better performance than non-EUA algorithm. The DAM algorithm has better performance in all scenarios than MBD and DBM ones. Compared with DBM algorithm, the DAM algorithm can reduce at most 70% of the new UAVs number. Ming Zhu, Fei Liu, Zhiping Cai, and Ming Xu Copyright © 2015 Ming Zhu et al. All rights reserved. Control Strategy for Power Distribution in Dual Motor Propulsion System for Electric Vehicles Sun, 22 Nov 2015 06:25:42 +0000 Electric Vehicles with more than one electric motor can offer advantages in saving energy from the batteries. In order to do that, the control strategy plays an important role in distributing the required torque between the electric motors. A dual motor propulsion system with a differential transmission is simulated in this work. A rule based control strategy for this propulsion system is proposed and analyzed. Two parameters related to the output speed of the transmission and the required torque are used to switch the two modes of operation in which the propulsion system can work under acceleration. The effect of these parameters is presented over the driving cycles of NEDC, UDDS, and NYCC, which are followed using a PID controller. The produced energy losses are calculated as well as an indicator of drivability, which is related to the difference between the desired speed and the actual speed obtained. The results show that less energy losses are present when the vehicle is maintained with one electric motor most of the time, switching only when the extended speed granted by the second motor is required. The propulsion system with the proposed control strategy represents a feasible alternative in the spectrum of sustainable transportation architectures with extending range capabilities. Pedro Daniel Urbina Coronado and Horacio Ahuett-Garza Copyright © 2015 Pedro Daniel Urbina Coronado and Horacio Ahuett-Garza. All rights reserved. Simulation of Turing Machine with uEAC-Computable Functions Thu, 19 Nov 2015 12:03:11 +0000 The micro-Extended Analog Computer (uEAC) is an electronic implementation inspired by Rubel’s EAC model. In this study, a fully connected uEACs array is proposed to overcome the limitations of a single uEAC, within which each uEAC unit is connected to all the other units by some weights. Then its computational capabilities are investigated by proving that a Turing machine can be simulated with uEAC-computable functions, even in the presence of bounded noise. Yilin Zhu, Feng Pan, Lingxi Li, Xuemei Ren, and Qi Gao Copyright © 2015 Yilin Zhu et al. All rights reserved. Research on Construction Method of Operational Reliability Control Model for Space Manipulator Based on Particle Filter Thu, 19 Nov 2015 11:52:47 +0000 The operational reliability of the space manipulator is closely related to the control method. However the existing control methods seldom consider the operational reliability from the system level. A method to construct the operational reliability system control model based on particle filter for the space manipulator is presented in this paper. Firstly, the definition of operational reliability and the degree of operational reliability are given and the state space equations of the control system are established as well. Secondly, based on the particle filter algorithm, a method to estimate the distribution of the end position error and calculate the degree of operational reliability with any form of noise distribution in real time is established. Furthermore, a performance model based on quality loss theory is built and a performance function is obtained to evaluate the quality of the control process. The adjustment value of the end position of the space manipulator can be calculated by using the performance function. Finally, a large number of simulation results show that the control method proposed in this paper can improve the task success rate effectively compared to the simulation results using traditional control methods and control methods based on Bayesian estimation. Xin Gao, Yifan Wang, Hanxu Sun, Qingxuan Jia, Xiaojian Yang, Mingtao Du, and Jingyu Huang Copyright © 2015 Xin Gao et al. All rights reserved. LMI-Based Stability Criterion for Impulsive CGNNs via Fixed Point Theory Thu, 19 Nov 2015 08:51:04 +0000 Linear matrices inequalities (LMIs) method and the contraction mapping theorem were employed to prove the existence of globally exponentially stable trivial solution for impulsive Cohen-Grossberg neural networks (CGNNs). It is worth mentioning that it is the first time to use the contraction mapping theorem to prove the stability for CGNNs while only the Leray-Schauder fixed point theorem was applied in previous related literature. An example is given to illustrate the effectiveness of the proposed methods due to the large allowable variation range of impulse. Xiongrui Wang, Ruofeng Rao, and Shouming Zhong Copyright © 2015 Xiongrui Wang et al. All rights reserved.