Journal of Control Science and Engineering The latest articles from Hindawi Publishing Corporation © 2015 , Hindawi Publishing Corporation . All rights reserved. Reducing Computational Overhead by Improving the CRI and IRI Implication Step Thu, 26 Mar 2015 11:58:04 +0000 In conventional SISO fuzzy expert systems (-element input, -element output), the implication step requires the operations using compositional rule-based inference (CRI) and individual rule-based inference (IRI). However, this introduces excessive complexity. This paper proposes two methods, sort compositional rule-based inference (SCRI) and sort individual rule-based inference (SIRI) aiming at reducing both temporal and spatial complexity by changing the operation of the implication step to log2. We also propose a divide-and-conquer technique, called Quicksort, to verify the accuracy of SCRI and SIRI algorithms deployment to easily outperform the CRI and IRI methods. Thoai Phu Vo and Joy Iong-Zong Chen Copyright © 2015 Thoai Phu Vo and Joy Iong-Zong Chen. All rights reserved. Combining Multiple Strategies for Multiarmed Bandit Problems and Asymptotic Optimality Wed, 25 Mar 2015 09:15:21 +0000 This brief paper provides a simple algorithm that selects a strategy at each time in a given set of multiple strategies for stochastic multiarmed bandit problems, thereby playing the arm by the chosen strategy at each time. The algorithm follows the idea of the probabilistic -switching in the -greedy strategy and is asymptotically optimal in the sense that the selected strategy converges to the best in the set under some conditions on the strategies in the set and the sequence of . Hyeong Soo Chang and Sanghee Choe Copyright © 2015 Hyeong Soo Chang and Sanghee Choe. All rights reserved. Observer Design for a Class of Nonlinear Descriptor Systems: A Takagi-Sugeno Approach with Unmeasurable Premise Variables Wed, 25 Mar 2015 06:54:43 +0000 The Takagi-Sugeno (T-S) fuzzy observer for dynamical systems described by ordinary differential equations is widely discussed in the literature. The aim of this paper is to extend this observer design to a class of T-S descriptor systems with unmeasurable premise variables. In practice, the computation of solutions of differential-algebraic equations requires the combination of an ordinary differential equations (ODE) routine together with an optimization algorithm. Therefore, a natural way permitting to estimate the state of such a system is to design a procedure based on a similar numerical algorithm. Beside some numerical difficulties, the drawback of such a method lies in the fact that it is not easy to establish a rigorous proof of the convergence of the observer. The main result of this paper consists in showing that the state estimation problem for a class of T-S descriptor systems can be achieved by using a fuzzy observer having only an ODE structure. The convergence of the state estimation error is studied using the Lyapunov theory and the stability conditions are given in terms of linear matrix inequalities (LMIs). Finally, an application to a model of a heat exchanger pilot process is given to illustrate the performance of the proposed observer. J. Soulami, A. El Assoudi, M. Essabre, M. Habibi, and E. El Yaagoubi Copyright © 2015 J. Soulami et al. All rights reserved. Discrete Second-Order Sliding Mode Adaptive Controller Based on Characteristic Model for Servo Systems Tue, 17 Mar 2015 08:57:41 +0000 Considering the varying inertia and load torque in high speed and high accuracy servo systems, a novel discrete second-order sliding mode adaptive controller (DSSMAC) based on characteristic model is proposed, and a command observer is also designed. Firstly, the discrete characteristic model of servo systems is established. Secondly, the recursive least square algorithm is adopted to identify time-varying parameters in characteristic model, and the observer is applied to predict the command value of next sample time. Furthermore, the stability of the closed-loop system and the convergence of the observer are analyzed. The experimental results show that the proposed method not only can adapt to varying inertia and load torque, but also has good disturbance rejection ability and robustness to uncertainties. Zhihong Wang, Yifei Wu, Wei Chen, Xiang Wang, Jian Guo, and Qingwei Chen Copyright © 2015 Zhihong Wang et al. All rights reserved. A New Energy-Efficient Data Transmission Scheme Based on DSC and Virtual MIMO for Wireless Sensor Network Wed, 04 Mar 2015 11:06:01 +0000 Energy efficiency in wireless sensor network (WSN) is one of the primary performance parameters. For improving the energy efficiency of WSN, we introduce distributed source coding (DSC) and virtual multiple-input multiple-output (MIMO) into wireless sensor network and then propose a new data transmission scheme called DSC-MIMO. DSC-MIMO compresses the source data using distributed source coding before transmitting, which is different from the existing communication schemes. Data compression can reduce the length of the data and improve the energy efficiency. In addition, DSC-MIMO does not require the cluster heads to collect the data of the source nodes, which reduces the frequencies of data transmission and saves energy. In the simulation, we analyze the energy consumption of DSC-MIMO. The results indicate that DSC-MIMO can effectively reduce the energy consumption and improve the energy efficiency of the whole wireless sensor network. Na Li, Liwen Zhang, and Bing Li Copyright © 2015 Na Li et al. All rights reserved. Design of Internal Model Control Based on an Optimal Control for a Servo System Sun, 01 Mar 2015 14:20:42 +0000 This paper describes a design of internal model control based on an optimal control for a servo system. The control system has the feedback based on the proposed disturbance compensator in the disturbance response. The compensator is designed to become the denominator of the transfer function without a dead time in the disturbance responses. The disturbance response of the proposed method is faster than that of the previous method. Hiromitsu Ogawa, Ryo Tanaka, Takahiro Murakami, and Yoshihisa Ishida Copyright © 2015 Hiromitsu Ogawa et al. All rights reserved. New Absolute Stability Conditions of Lur’e Systems with Time-Varying Delay Sat, 28 Feb 2015 14:14:53 +0000 This paper is focused on the absolute stability of Lur’e systems with time-varying delay. Based on the quadratic separation framework, a complete delay-decomposing Lyapunov-Krasovskii functional is constructed. By considering the relationship between the time-varying delay and its varying interval, improved delay-dependent absolute stability conditions in terms of linear matrix inequalities (LMIs) are obtained. Moreover, the derived conditions are extended to systems with time-varying structured uncertainties. Finally, a numerical example is given to show the advantage over existing literatures. Wei Wang and Hong-Bing Zeng Copyright © 2015 Wei Wang and Hong-Bing Zeng. All rights reserved. Aeroelastic Dynamic Response and Control of an Aeroelastic System with Hysteresis Nonlinearities Thu, 26 Feb 2015 17:49:23 +0000 A state feedback control law based on the sliding mode control method is derived for the aeroelastic response and flutter suppression of a two-dimensional airfoil section with hysteresis nonlinearity in pitch. An observer is constructed to estimate the unavailable state variables of the system. With the control law designed, nonlinear effect of time delay between the control input and actuator is investigated by a numerical approach. The closed-loop system including the observer and nonlinear controller is asymptotically stable. The simulation results show that the observer can give precise estimations for the plunge displacement and the velocities in pitch and plunge and that the controller is effective for flutter suppression. The time delay between the control input and actuator may jeopardize the control performance and cause high-frequency vibrations. Xingzhi Xu, Yakui Gao, and Weiguo Zhang Copyright © 2015 Xingzhi Xu et al. All rights reserved. Analysis of Urban Car Owners Commute Mode Choice Based on Evolutionary Game Model Thu, 26 Feb 2015 11:53:42 +0000 With the aggravation of the traffic congestion in the city, car owners will have to give up commuting with private cars and take the public transportation instead. The paper uses the replication dynamic mechanism to simulate the learning and adjustment mechanism of the automobile owners commuting mode selection. The evolutionary stable strategy is used to describe the long-term evolution of competition game trend. Finally we simulate equilibrium and stability of an evolution of the game under a payoff imbalance situation. The research shows that a certain proportion of car owners will choose public transit under the pressure of public transport development and heavy traffic, and the proportion will be closely related to the initial conditions and urban transportation development policy. Huawei Gong and Wenzhou Jin Copyright © 2015 Huawei Gong and Wenzhou Jin. All rights reserved. System Identification of Heat-Transfer Process of Frequency Induction Furnace for Melting Copper Based on Particle Swarm Algorithm Wed, 25 Feb 2015 16:40:24 +0000 An adaptive evolutionary strategy in standard particle swarm optimization is introduced. Adaptive evolution particle swarm optimization is constructed to improve the capacity of global search. A method based on adaptive evolution particle swarm optimization for identification of continuous system with time delay is proposed. The basic idea is that the identification of continuous system with time delay is converted to an optimization of continuous nonlinear function. The adaptive evolution particle swarm optimization is utilized to find an optimal solution of continuous nonlinear function. Convergence conditions are given by the convergence analysis based on discrete time linear dynamic system theory. Numerical simulation results show that the proposed method is effective for a general continuous system with time delay and the system of heat-transfer process of frequency induction furnace for melting copper. Zhi-gang Jia and Xing-xuan Wang Copyright © 2015 Zhi-gang Jia and Xing-xuan Wang. All rights reserved. Stability Analysis of Pneumatic Cabin Pressure Regulating System with Complex Nonlinear Characteristics Tue, 24 Feb 2015 12:16:24 +0000 Stability of pneumatic cabin pressure regulating system with complex nonlinear characteristics is considered. The mathematical model of each component is obtained and given in detail. The governing equations of the considered system consist of 8 differential equations. In the circumstance, commonly used methods of nonlinear system analysis are not applicable. Therefore a new method is proposed to construct phase plane trajectories numerically. The calculation steps are given in detail. And convergence region of numerical calculation and limits on step size is defined. The method is applied constructing phase plane trajectories for considered cabin pressure regulating system. Phase plane analysis shows that there exists a limit cycle, which is responsible for pressure pulsating in aircraft cabin. After parameters adjustment, excellent stability characteristics are acquired. And the validity of this method is confirmed by the simulation. Xinhua Zheng, Lili Xie, and Lizhuo Liu Copyright © 2015 Xinhua Zheng et al. All rights reserved. Less Conservative Optimal Robust Control of a 3-DOF Helicopter Mon, 23 Feb 2015 09:49:54 +0000 This work proposes an improved technique for design and optimization of robust controllers norm for uncertain linear systems, with state feedback, including the possibility of time-varying the uncertainty. The synthesis techniques used are based on LMIs (linear matrix inequalities) formulated on the basis of Lyapunov’s stability theory, using Finsler’s lemma. The design has used the addition of the decay rate restriction, including a parameter γ in the LMIs, responsible for decreasing the settling time of the feedback system. Qualitative and quantitative comparisons were made between methods of synthesis and optimization of the robust controllers norm, seeking alternatives with lower cost and better performance that meet the design restrictions. A practical application illustrates the efficiency of the proposed method with a failure purposely inserted in the system. L. F. S. Buzachero, E. Assunção, M. C. M. Teixeira, and E. R. P. da Silva Copyright © 2015 L. F. S. Buzachero et al. All rights reserved. An Energy Distance Aware Clustering Protocol with Dual Cluster Heads Using Niching Particle Swarm Optimization for Wireless Sensor Networks Wed, 11 Feb 2015 12:35:14 +0000 Energy efficient utilization is an important criteria and factor that affects the design of wireless sensor networks (WSNs). In this literature, we propose an energy distance aware clustering protocol with Dual Cluster Heads using Niching Particle Swarm Optimization (DCH-NPSO). The protocol selects two cluster heads in each cluster, the Master Cluster Head (MCH) and the Slave Cluster Head (SCH), and the selection needs to consider the network state information carefully and deliberately. Simulation results show that the protocol we proposed can balance the energy dissipation and extend the network lifetime effectively. Dexin Ma and Pengmin Xu Copyright © 2015 Dexin Ma and Pengmin Xu. All rights reserved. A New BFGS Algorithm Using the Decomposition Matrix of the Correction Matrix to Obtain the Search Directions Sat, 31 Jan 2015 06:58:19 +0000 We present an improved method for determining the search direction in the BFGS algorithm. Our approach uses the equal inner product decomposition method for positive-definite matrices. The decomposition of an approximated Hessian matrix expresses a correction formula that is independent from the exact line search. This decomposed matrix is used to compute the search direction in a new BFGS algorithm. Li Liu Copyright © 2015 Li Liu. All rights reserved. Obstacle Avoidance Algorithm for 7-DOF Redundant Anthropomorphic Arm Wed, 28 Jan 2015 14:38:56 +0000 To deal with the problem of obstacle avoidance for redundant robots, an obstacle avoidance algorithm based on the internal motion of the 7-DOF redundant anthropomorphic arm is presented. The motion of that critical points move away from the closest points on the obstacles is defined as obstacle avoiding motion. Two transitioning variables were used to make a smooth, continuous transition between the primary and the secondary tasks. Using this approach, the robot can get the target configuration while avoiding the obstacles. Finally, the validity of the obstacle avoidance algorithm based on transitioning between tasks is manifested by simulation. The results show that, for the obstacle avoiding problem, the redundant robot not only can realize the obstacle avoidance, but also prevents the conflict between tasks by the proposed approach. Haoyu Shen, Hongtao Wu, Bai Chen, Yanjie Jiang, and Cheng Yan Copyright © 2015 Haoyu Shen et al. All rights reserved. Nonlinear Integral Sliding Mode Control for a Second Order Nonlinear System Wed, 28 Jan 2015 10:00:15 +0000 A nonlinear integral sliding-mode control (NISMC) scheme is proposed for second order nonlinear systems. The new control scheme is characterized by a nonlinear integral sliding manifold which inherits the desired properties of the integral sliding manifold, such as robustness to system external disturbance. In particular, compared with four kinds of sliding mode control (SMC), the proposed control scheme is able to provide better transient performances. Furthermore, the proposed scheme ensures the zero steady-state error in the presence of a constant disturbance or an asymptotically constant disturbance is proved by Lyapunov stability theory and LaSalle invariance principle. Finally, both the theoretical analysis and simulation examples demonstrate the validity of the proposed scheme. Xie Zheng, Xie Jian, Du Wenzheng, and Cheng Hongjie Copyright © 2015 Xie Zheng et al. All rights reserved. Novel Approach to Preview Control for a Class of Continuous-Time Systems Tue, 27 Jan 2015 08:19:42 +0000 This paper explicates a new method of designing a preview controller for a class of continuous-time systems. The augmented error system is constructed by the error system with the derivative of the tracking error signal, the state equation, and an identical equation of the derivative of the control input, which transforms a tracking problem into a regulation problem. Therefore, in the paper, the performance index contains the derivative of the control input. Based on the theory of optimal control, the regulator problem of the augmented error system is solved. Thus, the controller with preview compensation for the original system is deduced. The response speed of the closed-loop system is accelerated by the previewed demand output. A final numerical example is given to illustrate the validity of the proposed method. Fucheng Liao, Yujie Xu, and Jiang Wu Copyright © 2015 Fucheng Liao et al. All rights reserved. Cloud Model-Based Energy Management Strategy for Parallel Hybrid Vehicles Sun, 18 Jan 2015 14:33:32 +0000 Using the uncertain conversion capacity between the expressions of quantitative and qualitative concept in the cloud model, an energy management strategy based on cloud model is developed for parallel hybrid vehicles (PHVs). By the driver input and the state of charge (SOC) of the energy storage, a set of rules are developed to effectively determine the torque split between the internal combustion engine (ICE) and the electric motor. An analysis of the simulation results is conducted using ADVISOR in order to verify the effectiveness of the proposed control strategy. It is confirmed that the control scheme can be used to improve fuel economy and emission of the hybrid vehicles. Xiaolan Wu, Guifang Guo, and Zhifeng Bai Copyright © 2015 Xiaolan Wu et al. All rights reserved. Passivity-Sliding Mode Control of Uncertain Chaotic Systems with Stochastic Disturbances Tue, 23 Dec 2014 05:58:51 +0000 This paper is concerned with the stabilization problem of uncertain chaotic systems with stochastic disturbances. A novel sliding function is designed, and then a sliding mode controller is established such that the trajectory of the system converges to the sliding surface in a finite time. Using a virtual state feedback control technique, sufficient condition for the mean square asymptotic stability and passivity of sliding mode dynamics is derived via linear matrix inequality (LMI). Finally, a simulation example is presented to show the validity and advantage of the proposed method. Zhumu Fu, Leipo Liu, and Xiaohong Wang Copyright © 2014 Zhumu Fu et al. All rights reserved. Iterative Learning Control with Forgetting Factor for Linear Distributed Parameter Systems with Uncertainty Thu, 18 Dec 2014 07:06:53 +0000 Iterative learning control is an intelligent control algorithm which imitates human learning process. Based on this concept, this paper discussed iterative learning control problem for a class parabolic linear distributed parameter systems with uncertainty coefficients. Iterative learning control algorithm with forgetting factor is proposed and the conditions for convergence of algorithm are established. Combining the matrix theory with the basic theory of distributed parameter systems gives rigorous convergence proof of the algorithm. Finally, by using the forward difference scheme of partial differential equation to solve the problems, the simulation results are presented to illustrate the feasibility of the algorithm. Xisheng Dai, Senping Tian, Wenguang Luo, and Yajun Guo Copyright © 2014 Xisheng Dai et al. All rights reserved. Force/Position Hybrid Control of 6PUS-UPU Redundant Driven Parallel Manipulator Based on 2-DOF Internal Model Control Mon, 08 Dec 2014 09:59:44 +0000 To improve control performance of parallel manipulator, servo control is optimized according to 2-DOF control with Internal Model Control. Position loop of the controller is redesigned based on the original current loop and speed loop. The hybrid force/position control strategy on the basis of cross-coupling is proposed. With mechatronic cosimulation system, it is proved that the force/position hybrid control on the basis of 2-DOF Internal Model Control has better stability and position precision compared with the traditional PID control. The control precision and stability of the parallel manipulator are improved effectively in actual experiment. Two types of compliance operation including peg in hole and surface tracking are realized in 6PUS-UPU parallel manipulator and both have good applicable effect. Kuijing Zheng and Chao Wang Copyright © 2014 Kuijing Zheng and Chao Wang. All rights reserved. Decreasing the Value of Specified Cost Function by Adaptive Controller Based on Modified ACLF for a Class of Nonlinear Systems Mon, 24 Nov 2014 10:14:17 +0000 A new nonlinear adaptive control law for a class of uncertain nonlinear systems is proposed. The proposed control law is designed by a modified adaptive control Lyapunov function (ACLF) which satisfies a Hamilton-Jacobi-Bellman (HJB) equation. The modified ACLF is derived from transformation of an ACLF. The proposed control law is different from the inverse optimal one in decreasing the value of a cost function specified by a designer. In this paper, we show a transformation coefficient for an ACLF and a design method of a nonlinear adaptive controller. Finally, it is shown by a numerical simulation that the proposed control law decreases the value of a given cost function and achieves the desirable trajectory. Keizo Okano, Kojiro Hagino, and Hidetoshi Oya Copyright © 2014 Keizo Okano et al. All rights reserved. Controllability of Singular Linear Systems by Legendre Wavelets Thu, 20 Nov 2014 06:01:07 +0000 We propose a new method to design an observer and control the linear singular systems described by Legendre wavelets. The idea of the proposed approach is based on solving the generalized Sylvester equations. An example is also given to illustrate the procedure. Wenxin Yu, Yigang He, Xianming Wu, and Kun Gao Copyright © 2014 Wenxin Yu et al. All rights reserved. A Novel Compound Control Method for Hydraulically Driven Shearer Drum Lifting Thu, 20 Nov 2014 00:00:00 +0000 In order to adjust shearer drum swiftly and precisely to adapt to the changes of coal seam, a compound control approach based on cerebellar model articulation control and fractional order PID controller was proposed. As the movement precision and response speed of hydraulic system were determined mainly by the control precision of valve-controlled asymmetrical hydraulic cylinder, its working principle and characteristics were analyzed in this paper, with particular focusing on the asymmetry problem. Furthermore, RBF neural network was applied to obtaining reasonable tuning parameters and a control algorithm of proposed controller was designed. Finally, laboratory experiments were developed to verify the validity and effectiveness of proposed compound control method. The testing results, compared with those for other controllers, proved that the proposed compound control method can acquire high movement precision and respond speed in the system of hydraulically driven shearer drum lifting with different control conditions. Lei Si, Zhongbin Wang, Xinhua Liu, and Lin Zhang Copyright © 2014 Lei Si et al. All rights reserved. Partial Pole Placement in LMI Region Sun, 16 Nov 2014 09:37:11 +0000 A new approach for pole placement of single-input system is proposed in this paper. Noncritical closed loop poles can be placed arbitrarily in a specified convex region when dominant poles are fixed in anticipant locations. The convex region is expressed in the form of linear matrix inequality (LMI), with which the partial pole placement problem can be solved via convex optimization tools. The validity and applicability of this approach are illustrated by two examples. Liuli Ou, Shaobo Han, Yongji Wang, Shuai Dong, and Lei Liu Copyright © 2014 Liuli Ou et al. All rights reserved. Research on Application of Regression Least Squares Support Vector Machine on Performance Prediction of Hydraulic Excavator Tue, 11 Nov 2014 11:44:22 +0000 In order to improve the performance prediction accuracy of hydraulic excavator, the regression least squares support vector machine is applied. First, the mathematical model of the regression least squares support vector machine is studied, and then the algorithm of the regression least squares support vector machine is designed. Finally, the performance prediction simulation of hydraulic excavator based on regression least squares support vector machine is carried out, and simulation results show that this method can predict the performance changing rules of hydraulic excavator correctly. Zhan-bo Chen Copyright © 2014 Zhan-bo Chen. All rights reserved. Transformation of CLF to ISS-CLF for Nonlinear Systems with Disturbance and Construction of Nonlinear Robust Controller with Gain Performance Tue, 04 Nov 2014 06:51:53 +0000 A new nonlinear control law for a class of nonlinear systems with disturbance is proposed. A control law is designed by transforming control Lyapunov function (CLF) to input-to-state stability control Lyapunov function (ISS-CLF). The transformed CLF satisfies a Hamilton-Jacobi-Isaacs (HJI) equation. The feedback system by the proposed control law has characteristics of gain. Finally, it is shown by a numerical example that the proposed control law makes a controller by feedback linearization robust against disturbance. Keizo Okano, Kojiro Hagino, and Hidetoshi Oya Copyright © 2014 Keizo Okano et al. All rights reserved. Nonlinear Current Control for Reluctance Actuator with Hysteresis Compensation Tue, 21 Oct 2014 11:01:39 +0000 The next-generation fine stage of the wafer scanner needs a suitable actuator to meet the requirements of high speed, high acceleration, and high precision. The voice coil actuator is no longer the best choice because of its large size and the heat dissipation is difficult to solve. The reluctance actuator can provide a big force based on a unique property of small volume and low current, making it a very suitable candidate. But the strong nonlinearity such as the hysteresis between the current and force limits the reluctance actuator applications in nanometer positioning. This paper proposes a nonlinear current control configuration with hysteresis compensation using the adaptive multilayer neural network. Simulation results show that the hysteresis compensator is effective in overcoming the hysteresis and is promising in precision control applications. Yu-Ping Liu, Kang-Zhi Liu, and Xiaofeng Yang Copyright © 2014 Yu-Ping Liu et al. All rights reserved. Design of Iterative Learning Control Method with Global Convergence Property for Nonlinear Systems Thu, 02 Oct 2014 00:00:00 +0000 We address an iterative learning control (ILC) method for overcoming initial value problem caused by local convergence methods. Introducing a feedback recursive form of tracking errors into iterative learning law, this algorithm can avoid a crude linear approximation to nonlinear plants to reach global convergence property. The algorithm’s structure is entirely illustrated. Under assumptions, it is guaranteed that tracking errors of the closed-loop system converge to zero. Besides, we discuss the roles of parameters in iterative learning law for algorithm realization, and a nonlinear case study is presented to demonstrate the effectiveness and tracking performance of the proposed algorithm. Guang-Wei Xu, Cheng Shao, and Yu Han Copyright © 2014 Guang-Wei Xu et al. All rights reserved. Sliding Mode Control for Electrohydrostatic Actuator Sun, 28 Sep 2014 11:16:32 +0000 Electrohydrostatic actuator (EHA) is a new actuator for next generation aircraft actuation system. This actuator is essentially a nonlinear system; response speed and accuracy are the main consideration. We use sliding mode control for this nonlinear system in this paper. The variable structure filter (VSF) is introduced to obtain the unmeasured states. Derivation of the VSF gain based on the reaching law is presented in this paper. To improve the response speed and accuracy, a nonlinear function is introduced to construct the nonlinear sliding surface using the estimated states generated by VSF. Simulation results show that low settling time and quick response are obtained by using the nonlinear sliding surface. Shi Zhengqiang, Tang Zhiyong, and Pei Zhongcai Copyright © 2014 Shi Zhengqiang et al. All rights reserved.