Discrete Dynamics in Nature and Society http://www.hindawi.com The latest articles from Hindawi Publishing Corporation © 2016 , Hindawi Publishing Corporation . All rights reserved. Outer Synchronization between Two Coupled Complex Networks and Its Application in Public Traffic Supernetwork Thu, 28 Apr 2016 15:05:15 +0000 http://www.hindawi.com/journals/ddns/2016/8920764/ The paper presents a new urban public traffic supernetwork model by using the existing bus network modeling method, consisting of the conventional bus traffic network and the urban rail traffic network. We investigate the synchronization problem of urban public traffic supernetwork model by using the coupled complex network’s outer synchronization theory. Analytical and numerical simulations are given to illustrate the impact of traffic dispatching frequency and traffic lines optimization to the urban public traffic supernetwork balance. Wen-ju Du, Jian-gang Zhang, Xin-lei An, Shuang Qin, and Jian-ning Yu Copyright © 2016 Wen-ju Du et al. All rights reserved. The Dynamics of the Discrete Ultimatum Game and the Role of the Expectation Level Thu, 28 Apr 2016 06:18:23 +0000 http://www.hindawi.com/journals/ddns/2016/8517345/ We have studied evolutionary ultimatum game with spatially arranged players, who have choice between the two kinds of strategies (named greedy and altruist). The strategies in the ultimatum game here are described by and , that is, the probability of offering to himself and the accepting probability when receiving . By using computer simulations with C++ builder, we have provided the dynamics of the greedy and altruistic strategies and found that the proportion evolution of the “greedy” strategy for different initial cases is approximately 60%. Furthermore, the explanations for the interesting phenomenon are presented from different aspects. In addition, we illustrate that the factor of the expectation level (aspiration level) in the updating rule plays an important role in the promotion of altruistic behaviors. Lili Deng, Wei Zhang, Cheng Wang, Yi Han, and Jianhu Cai Copyright © 2016 Lili Deng et al. All rights reserved. The Coupling Effect Research of Ash Deposition and Condensation in Low Temperature Flue Gas Thu, 28 Apr 2016 05:54:44 +0000 http://www.hindawi.com/journals/ddns/2016/8352317/ Ash deposition is a key factor that deteriorates the heat transfer performance and leads to higher energy consumption of low pressure economizer working in low temperature flue gas. In order to study the ash deposition of heat exchange tubes in low temperature flue gas, two experiments are carried out with different types of heat exchange tubes in different flue gas environments. In this paper, Nusselt Number Nu and fouling factor are calculated to describe the heat transfer characteristics so as to study the ash deposition condition. The scanning electron microscope (SEM) is used for the analysis of ash samples obtained from the outer wall of heat exchange tubes. The dynamic process of ash deposition is studied under different temperatures of outer wall. The results showed that ash deposition of heat exchanger will achieve a stable state in constant flue gas environment. According to the condition of condensation of acid vapor and water vapor, the process of ash deposition can be distinguished as mere ash deposition, acid-ash coupling deposition, and acid-water-ash coupling deposition. Lei Ma, Feng-zhong Sun, Zhi-min Li, Pei Chen, and Fei Li Copyright © 2016 Lei Ma et al. All rights reserved. A Discrete-Time Algorithm for Stiffness Extraction from sEMG and Its Application in Antidisturbance Teleoperation Wed, 27 Apr 2016 06:57:18 +0000 http://www.hindawi.com/journals/ddns/2016/6897030/ We have developed a new discrete-time algorithm of stiffness extraction from muscle surface electromyography (sEMG) collected from human operator’s arms and have applied it for antidisturbance control in robot teleoperation. The variation of arm stiffness is estimated from sEMG signals and transferred to a telerobot under variable impedance control to imitate human motor control behaviours, particularly for disturbance attenuation. In comparison to the estimation of stiffness from sEMG, the proposed algorithm is able to reduce the nonlinear residual error effect and to enhance robustness and to simplify stiffness calibration. In order to extract a smoothing stiffness enveloping from sEMG signals, two enveloping methods are employed in this paper, namely, fast linear enveloping based on low pass filtering and moving average and amplitude monocomponent and frequency modulating (AM-FM) method. Both methods have been incorporated into the proposed stiffness variance estimation algorithm and are extensively tested. The test results show that stiffness variation extraction based on the two methods is sensitive and robust to attenuation disturbance. It could potentially be applied for teleoperation in the presence of hazardous surroundings or human robot physical cooperation scenarios. Peidong Liang, Chenguang Yang, Ning Wang, and Ruifeng Li Copyright © 2016 Peidong Liang et al. All rights reserved. Application of Filter on the Angular Rate Matching in the Transfer Alignment Tue, 26 Apr 2016 09:13:39 +0000 http://www.hindawi.com/journals/ddns/2016/4859475/ The transfer alignment (TA) scheme is used for the initial alignment of Inertial Navigation System (INS) on dynamical base. The Kalman filter is often used in TA to improve the precision of TA. And the statistical characteristics of interference signal which is difficult to get must be known before the Kalman filter is used in the TA, because the interference signal is a random signal and there are some changes on the dynamic model of system. In this paper, the filter is adopted in the TA scheme of the angular rate matching when the various stages of disturbance in measurement are unknown. And it is compared with the Kalman filter in the same environment of simulation and evaluation. The result of simulation shows that the filter and the Kalman filter are both effective. The Kalman filter is more accurate than the filter when system noise and measurement noise are white noise, but the filter is more accurate and quicker than the Kalman filter when system noise and measurement noise are color noise. In the engineering practice, system noise and measurement noise are always color noise, so the filter is more suitable for engineering practice than the Kalman filter. Lijun Song, Zhongxing Duan, and Jiwu Sun Copyright © 2016 Lijun Song et al. All rights reserved. Research on the Heat Dissipation Characteristics of Lithium Battery Spatial Layout in an AUV Thu, 21 Apr 2016 08:14:02 +0000 http://www.hindawi.com/journals/ddns/2016/6269539/ To meet the power demand requirements of autonomous underwater vehicles (AUVs), the power supply is generally composed of a large number of high-energy lithium battery groups. The lithium battery heat dissipation properties not only affect the underwater vehicle performance but also bring some security risks. Based on the widespread application of lithium batteries, lithium batteries in an AUV are taken as an example to investigate the heat dissipation characteristics of the lithium battery spatial layout in an AUV. With the aim of increasing the safety of lithium batteries, a model is developed for the heat transfer process based on the energy conservation equation, and the battery heat dissipation characteristics of the spatial layout are analyzed. The results indicate that the most suitable distance between the cells and the cross arrangement is better than the sequence arrangement in terms of cooling characteristics. The temperature gradient and the temperature change inside the cabin with time are primarily affected by the navigation speed, but they have little relationship with the environmental temperature. Zhaoyong Mao and Shaokun Yan Copyright © 2016 Zhaoyong Mao and Shaokun Yan. All rights reserved. Novel Exponentially Fitted Two-Derivative Runge-Kutta Methods with Equation-Dependent Coefficients for First-Order Differential Equations Wed, 20 Apr 2016 14:23:29 +0000 http://www.hindawi.com/journals/ddns/2016/9827952/ The construction of exponentially fitted two-derivative Runge-Kutta (EFTDRK) methods for the numerical solution of first-order differential equations is investigated. The revised EFTDRK methods proposed, with equation-dependent coefficients, take into consideration the errors produced in the internal stages to the update. The local truncation errors and stability of the new methods are analyzed. The numerical results are reported to show the accuracy of the new methods. Yanping Yang, Yonglei Fang, Xiong You, and Bin Wang Copyright © 2016 Yanping Yang et al. All rights reserved. Extinction in Two-Species Nonlinear Discrete Competitive System Wed, 20 Apr 2016 12:51:09 +0000 http://www.hindawi.com/journals/ddns/2016/2806405/ We propose a nonlinear discrete system of two species with the effect of toxic substances. By constructing a suitable Lyapunov-type function, we obtain the sufficient conditions which guarantee that one of the components will be driven to extinction while the other will be globally attractive with any positive solution of a discrete equation. Two examples together with their numerical simulations illustrate the feasibility of our main results. The results not only improve but also complement some known results. Liqiong Pu, Xiangdong Xie, Fengde Chen, and Zhanshuai Miao Copyright © 2016 Liqiong Pu et al. All rights reserved. Time Delayed Equations as Models in Nature and Society Tue, 19 Apr 2016 14:00:50 +0000 http://www.hindawi.com/journals/ddns/2016/1245765/ Luca Guerrini, Luca Gori, Akio Matsumoto, Mauro Sodini, Zizhen Zhang, and Carlo Bianca Copyright © 2016 Luca Guerrini et al. All rights reserved. On Weak Contractive Cyclic Maps in Generalized Metric Spaces and Some Related Results on Best Proximity Points and Fixed Points Tue, 19 Apr 2016 12:02:37 +0000 http://www.hindawi.com/journals/ddns/2016/4186960/ This paper discusses the properties of convergence of sequences to limit cycles defined by best proximity points of adjacent subsets for two kinds of weak contractive cyclic maps defined by composite maps built with decreasing functions with either the so-called -weaker Meir-Keeler or -stronger Meir-Keeler functions in generalized metric spaces. Particular results about existence and uniqueness of fixed points are obtained for the case when the sets of the cyclic disposal have a nonempty intersection. Illustrative examples are discussed. M. De la Sen Copyright © 2016 M. De la Sen. All rights reserved. Operational Risk Aggregation Based on Business Line Dependence: A Mutual Information Approach Tue, 19 Apr 2016 09:09:49 +0000 http://www.hindawi.com/journals/ddns/2016/6546318/ The dependencies between different business lines of banks have serious effects on the accuracy of operational risk estimation. Furthermore, the dependencies are far more complicated than simple linear correlation. While Pearson correlation coefficient is constructed based on the hypothesis of a linear association, the mutual information that measures all the information of a random variable contained in another random variable is a powerful alternative. Based on mutual information, the generalized correlation coefficient which can capture both linear and nonlinear correlation can be derived. This paper models the correlation between business lines by mutual information and normal copula. The experiment on a real-world Chinese bank operational risk data set shows that using mutual information to model the dependencies between business lines is more reasonable than linear correlation. Wenzhou Wang, Limeng Shi, and Xiaoqian Zhu Copyright © 2016 Wenzhou Wang et al. All rights reserved. A New Adaptive Hungarian Mating Scheme in Genetic Algorithms Mon, 18 Apr 2016 11:49:00 +0000 http://www.hindawi.com/journals/ddns/2016/3512546/ In genetic algorithms, selection or mating scheme is one of the important operations. In this paper, we suggest an adaptive mating scheme using previously suggested Hungarian mating schemes. Hungarian mating schemes consist of maximizing the sum of mating distances, minimizing the sum, and random matching. We propose an algorithm to elect one of these Hungarian mating schemes. Every mated pair of solutions has to vote for the next generation mating scheme. The distance between parents and the distance between parent and offspring are considered when they vote. Well-known combinatorial optimization problems, the traveling salesperson problem, and the graph bisection problem are used for the test bed of our method. Our adaptive strategy showed better results than not only pure and previous hybrid schemes but also existing distance-based mating schemes. Chanju Jung, Yong-Hyuk Kim, Yourim Yoon, and Byung-Ro Moon Copyright © 2016 Chanju Jung et al. All rights reserved. Discrete-Time Dynamical Maximum Power Tracking Control for a Vertical Axis Water Turbine with Retractable Blades Mon, 18 Apr 2016 09:56:35 +0000 http://www.hindawi.com/journals/ddns/2016/1437616/ This paper addresses the power generation control system of a new drag-type Vertical Axis Turbine with several retractable blades. The returning blades can be entirely hidden in the drum, and negative torques can then be considerably reduced as the drum shields the blades. Thus, the power efficiency increases. Regarding the control, a Linear Quadratic Tracking (LQT) optimal control algorithm for Maximum Power Point Tracking (MPPT) is proposed to ensure that the wave energy conversion system can operate highly effectively under fluctuating conditions and that the tracking process accelerates over time. Two-dimensional Computational Fluid Dynamics (CFD) simulations are performed to obtain the maximum power points of the turbine’s output. To plot the tip speed ratio curve, the least squares method is employed. The efficacy of the steady and dynamic performance of the control strategy was verified using Matlab/Simulink software. These validation results show that the proposed system can compensate for power fluctuations and is effective in terms of power regulation. Zhaoyong Mao, Qian Liu, and Rongxin Cui Copyright © 2016 Zhaoyong Mao et al. All rights reserved. The Nonsequential Fusion Method for Localization from Unscented Kalman Filter by Multistation Array Buoys Sun, 17 Apr 2016 14:02:16 +0000 http://www.hindawi.com/journals/ddns/2016/7670609/ Based on special features of array buoy and the research field of location and tracking of underwater target, the research combines the highly adaptive nonlinear filtering algorithm unscented Kalman filter with the nonlinear programming of multistation array buoy positioning system. In accordance with the model of nonsequential target location, the research utilizes Unscented Transformation to update the measuring error and covariance matrix of state error, aiming at estimating the filtering of state variable and acquiring the object’s current state of motion. The research analyzes the positioning performance of algorithm, pursuit path, astringency, and other performance indexes of target-relevant parameter through numerical simulation experiment. From the result, the conclusion that multistation array buoy can complete the task of tracing target track very well can be reached, which provides theoretical foundation for putting the algorithm into engineering practice. Gou Yanni and Wang Qi Copyright © 2016 Gou Yanni and Wang Qi. All rights reserved. The Research on Improved Companding Transformation for Reducing PAPR in Underwater Acoustic OFDM Communication System Sun, 17 Apr 2016 07:27:08 +0000 http://www.hindawi.com/journals/ddns/2016/3167483/ To solve the problem of the high peak-to-average power ratio (PAPR) in Orthogonal Frequency Division Multiplexing (OFDM) for the underwater acoustic communication system, the paper offers a method of reducing PAPR which combines the amplitude limiting and the improved nonlinear transformation. Traditional amplitude limiting technique can reduce PAPR in OFDM system effectively, at the cost of reducing the bit error rate (BER). However the companding transformation has far less computation complexity than SLM or PTS technologies and can improve the BER performance compared to the amplitude limiting technique simultaneously. The paper combines these two kinds of techniques, takes full use of advantages of the two method, and puts forward a low-complexity scheme choosing parameters that are more appropriate to the underwater acoustic field, with the result of improved BER performance even in lower SNR. Both simulation and experiment results show that the new method which combines clipping and companding transformation can effectively reduce the PAPR in the underwater acoustic OFDM communication system and improve the BER performance simultaneously. Jinqiu Wu, Gang Qiao, and Xiaofei Qi Copyright © 2016 Jinqiu Wu et al. All rights reserved. Physical and Socioeconomic Driving Forces of Land-Use and Land-Cover Changes: A Case Study of Wuhan City, China Wed, 13 Apr 2016 13:57:52 +0000 http://www.hindawi.com/journals/ddns/2016/8061069/ To investigate precise nexus between land-use and land-cover changes (LUCC) and driving factors for rational urban management, we used remotely sensed images to map land use and land cover (LULC) from 1990 to 2010 for four time periods using Wuhan city, China, as a case study. Partial least squares (PLS) method was applied to analyze the relationships between LUCC and the driving factors, mainly focusing on three types of LULC, that is, arable land, built-up area, and water area. The results were as follows: during the past two decades, the land-use pattern in Wuhan city showed dramatic change. Arable land is made up of the largest part of the total area. The increased built-up land came mainly from the conversion of arable land for the purpose of economic development. Based on the Variable Importance in Projection (VIP), the joint effects of socioeconomic and physical factors on LUCC were dominant, though annual temperature, especially annual precipitation, proved to be less significant to LUCC. Population, tertiary industry proportion, and gross output value of agriculture were the most significant factors for three major types of LULC. This study could help us better understand the driving mechanism of urban LUCC and important implications for urban management. Xiangmei Li, Ying Wang, Jiangfeng Li, and Bin Lei Copyright © 2016 Xiangmei Li et al. All rights reserved. Polar Metric-Weighted Norm-Based Scan Matching for Robot Pose Estimation Tue, 12 Apr 2016 10:56:00 +0000 http://www.hindawi.com/journals/ddns/2016/2028414/ A novel point-to-point scan matching approach is proposed to address pose estimation and map building issues of mobile robots. Polar Scan Matching (PSM) and Metric-Based Iterative Closest Point (Mb-ICP) are usually employed for point-to-point scan matching tasks. However, due to the facts that PSM considers the distribution similarity of polar radii in irrelevant region of reference and current scans and Mb-ICP assumes a constant weight in the norm about rotation angle, they may lead to a mismatching of the reference and current scan in real-world scenarios. In order to obtain better match results and accurate estimation of the robot pose, we introduce a new metric rule, Polar Metric-Weighted Norm (PMWN), which takes both rotation and translation into account to match the reference and current scan. For robot pose estimation, the heading rotation angle is estimated by correspondences establishing results and further corrected by an absolute-value function, and then the geometric property of PMWN called projected circle is used to estimate the robot translation. The extensive experiments are conducted to evaluate the performance of PMWN-based approach. The results show that the proposed approach outperforms PSM and Mb-ICP in terms of accuracy, efficiency, and loop closure error of mapping. Guanglei Huo, Lijun Zhao, Ke Wang, Ruifeng Li, and Jianqiang Li Copyright © 2016 Guanglei Huo et al. All rights reserved. Discrete Weighted Pseudo Almost Automorphic Solutions of Nonautonomous Difference Equations Sun, 10 Apr 2016 08:17:18 +0000 http://www.hindawi.com/journals/ddns/2016/5827483/ We introduce the concept of a discrete weighted pseudo almost automorphic function and prove some basic results. Further, we investigate the nonautonomous linear and semilinear difference equations and obtain the weighted pseudo almost automorphic solutions of both these kinds of difference equations, respectively. Our results generalize the ones by Lizama and Mesquita (2013). Xiaoqing Wen and Hongwei Yin Copyright © 2016 Xiaoqing Wen and Hongwei Yin. All rights reserved. Guidance Law and Neural Control for Hypersonic Missile to Track Targets Thu, 07 Apr 2016 09:32:18 +0000 http://www.hindawi.com/journals/ddns/2016/6219609/ Hypersonic technology plays an important role in prompt global strike. Because the flight dynamics of a hypersonic vehicle is nonlinear, uncertain, and highly coupled, the controller design is challenging, especially to design its guidance and control law during the attack of a maneuvering target. In this paper, the sliding mode control (SMC) method is used to develop the guidance law from which the desired flight path angle is derived. With the desired information as control command, the adaptive neural control in discrete time is investigated ingeniously for the longitudinal dynamics of the hypersonic missile. The proposed guidance and control laws are validated by simulation of a hypersonic missile against a maneuvering target. It is demonstrated that the scheme has good robustness and high accuracy to attack a maneuvering target in the presence of external disturbance and missile model uncertainty. Wenxing Fu, Binbin Yan, Xiaofei Chang, and Jie Yan Copyright © 2016 Wenxing Fu et al. All rights reserved. Multiple Model Adaptive Tracking Control Based on Adaptive Dynamic Programming Thu, 07 Apr 2016 06:22:24 +0000 http://www.hindawi.com/journals/ddns/2016/6023892/ Adaptive dynamic programming (ADP) has been tested as an effective method for optimal control of nonlinear system. However, as the structure of ADP requires control input to satisfy the initial admissible control condition, the control performance may be deteriorated due to abrupt parameter change or system failure. In this paper, we introduce the multiple models idea into ADP, multiple subcontrollers run in parallel to supply multiple initial conditions for different environments, and a switching index is set up to decide the appropriate initial conditions for current system. By taking this strategy, the proposed multiple model ADP achieves optimal control for system with jumping parameters. The convergence of multiple model adaptive control based on ADP is proved and the simulation shows that the proposed method can improve the transient response of system effectively. Kang Wang, Xiaoli Li, and Yang Li Copyright © 2016 Kang Wang et al. All rights reserved. Contracting for Competitive Supply Chains under Network Externalities and Demand Uncertainty Wed, 06 Apr 2016 08:04:30 +0000 http://www.hindawi.com/journals/ddns/2016/1565416/ Based on network externalities and demand uncertainty environment, supply chain competition model is built; we identify the valid mechanism for the alternative range of profit-sharing contracts and also analyze the effect of product substitutability coefficient and network externalities on the alliance and profit-sharing contract. The results show that the vertical alliance contributes profit improvement to both the manufacturer and the retailer when the impact of network externalities on the product substitutability is not strong. However, vertical alliance will be out of operation when the effect of network externalities on the product substitutability is strong. Xiaojing Liu Copyright © 2016 Xiaojing Liu. All rights reserved. Organization Learning Oriented Approach with Application to Discrete Flight Control Tue, 05 Apr 2016 09:03:33 +0000 http://www.hindawi.com/journals/ddns/2016/3460492/ In nature and society, there exist many learning modes; thus, in this paper the goal is to incorporate features from the social organizations to improve the learning of intelligent systems. Inspired by future prediction, in the high level, the discrete dynamics is further written into the equivalent prediction model which can provide the bridge from now to the future. In the low level, the efficiency could be improved in way of group learning. The philosophy is integrated into discrete neural flight control where the cascade dynamics is written into the prediction form and the minimal-learning-parameter technique is designed for parameter learning. The effectiveness of the proposed method is verified with simulation. Lin Yu, Shixing Wang, and Yongan Zheng Copyright © 2016 Lin Yu et al. All rights reserved. Accurate and Efficient Computations of the Greeks for Options Near Expiry Using the Black-Scholes Equations Mon, 04 Apr 2016 11:46:56 +0000 http://www.hindawi.com/journals/ddns/2016/1586786/ We investigate the accurate computations for the Greeks using the numerical solutions of the Black-Scholes partial differential equation. In particular, we study the behaviors of the Greeks close to the maturity time and in the neighborhood around the strike price. The Black-Scholes equation is discretized using a nonuniform finite difference method. We propose a new adaptive time-stepping algorithm based on local truncation error. As a test problem for our numerical method, we consider a European cash-or-nothing call option. To show the effect of the adaptive stepping strategy, we calculate option price and its Greeks with various tolerances. Several numerical results confirm that the proposed method is fast, accurate, and practical in computing option price and the Greeks. Darae Jeong, Minhyun Yoo, and Junseok Kim Copyright © 2016 Darae Jeong et al. All rights reserved. Cumulative Effect of Precipitation Deficit Preceding Severe Droughts in Southwestern and Southern China Sun, 03 Apr 2016 13:40:11 +0000 http://www.hindawi.com/journals/ddns/2016/2890852/ Timely and accurate monitoring of droughts is important for implementing an effective response and for minimizing economic losses. In this paper, the duration and amount of deficit in precipitation before every severe drought were analyzed for 124 meteorological stations based on the weather data from 1961 to 2012. The results showed that deficit in precipitation over a period as short as three months or even shorter could lead to severe drought and the cumulative timescales of precipitation deficit in southwestern China were longer than those in southern China. The distribution of the critical amount of precipitation deficit showed a clear regional difference. Deficits in the western parts of southwestern China and parts of southern China are above 60%, or even above 80%, higher than the other area ranging between 40% and 60%. On the whole, the critical amount of the deficit preceding severe droughts for the humid southwestern and southern China was lower than that for the semiarid and semihumid areas. The results offer a sound basis for monitoring and forecasting droughts in southern and southwestern China and for issuing early warnings. Su-ping Wang, Jin-song Wang, Qiang Zhang, Yi-ping Li, Zhi-lan Wang, and Jing Wang Copyright © 2016 Su-ping Wang et al. All rights reserved. Composite Adaptive Antidisturbance Control for Discrete-Time Switched System Sun, 03 Apr 2016 13:08:04 +0000 http://www.hindawi.com/journals/ddns/2016/4269725/ A novel composite adaptive antidisturbance controller is developed for a class of discrete-time switched system. First, two composite adaptive observers are proposed to estimate the external disturbances and unknown parameters, respectively. Then, based on the estimation values, a composite adaptive antidisturbance controller is constructed, which can guarantee system has a good antidisturbance performance. A solvable sufficient condition is presented by using linear matrix inequalities (LMIs). Finally, a numerical example is shown to demonstrate the effectiveness of the proposed control approach. Haibin Sun, Qiang Lu, and Linlin Hou Copyright © 2016 Haibin Sun et al. All rights reserved. An Augmented Discrete-Time Approach for Human-Robot Collaboration Sun, 03 Apr 2016 07:52:17 +0000 http://www.hindawi.com/journals/ddns/2016/9126056/ Human-robot collaboration (HRC) is a key feature to distinguish the new generation of robots from conventional robots. Relevant HRC topics have been extensively investigated recently in academic institutes and companies to improve human and robot interactive performance. Generally, human motor control regulates human motion adaptively to the external environment with safety, compliance, stability, and efficiency. Inspired by this, we propose an augmented approach to make a robot understand human motion behaviors based on human kinematics and human postural impedance adaptation. Human kinematics is identified by geometry kinematics approach to map human arm configuration as well as stiffness index controlled by hand gesture to anthropomorphic arm. While human arm postural stiffness is estimated and calibrated within robot empirical stability region, human motion is captured by employing a geometry vector approach based on Kinect. A biomimetic controller in discrete-time is employed to make Baxter robot arm imitate human arm behaviors based on Baxter robot dynamics. An object moving task is implemented to validate the performance of proposed methods based on Baxter robot simulator. Results show that the proposed approach to HRC is intuitive, stable, efficient, and compliant, which may have various applications in human-robot collaboration scenarios. Peidong Liang, Lianzheng Ge, Yihuan Liu, Lijun Zhao, Ruifeng Li, and Ke Wang Copyright © 2016 Peidong Liang et al. All rights reserved. Stochastic Predator-Prey System Subject to Lévy Jumps Thu, 31 Mar 2016 17:53:50 +0000 http://www.hindawi.com/journals/ddns/2016/5749892/ This paper investigates a new nonautonomous impulsive stochastic predator-prey system with the omnivorous predator. First, we show that the system has a unique global positive solution for any given initial positive value. Second, the extinction of the system under some appropriate conditions is explored. In addition, we obtain the sufficient conditions for almost sure permanence in mean and stochastic permanence of the system by using the theory of impulsive stochastic differential equations. Finally, we discuss the biological implications of the main results and show that the large noise can make the system go extinct. Simulations are also carried out to illustrate our theoretical analysis conclusions. Xinzhu Meng and Xiaohong Wang Copyright © 2016 Xinzhu Meng and Xiaohong Wang. All rights reserved. A Review of Fuzzy Logic and Neural Network Based Intelligent Control Design for Discrete-Time Systems Thu, 31 Mar 2016 11:25:40 +0000 http://www.hindawi.com/journals/ddns/2016/7217364/ Over the last few decades, the intelligent control methods such as fuzzy logic control (FLC) and neural network (NN) control have been successfully used in various applications. The rapid development of digital computer based control systems requires control signals to be calculated in a digital or discrete-time form. In this background, the intelligent control methods developed for discrete-time systems have drawn great attentions. This survey aims to present a summary of the state of the art of the design of FLC and NN-based intelligent control for discrete-time systems. For discrete-time FLC systems, numerous remarkable design approaches are introduced and a series of efficient methods to deal with the robustness, stability, and time delay of FLC discrete-time systems are recommended. Techniques for NN-based intelligent control for discrete-time systems, such as adaptive methods and adaptive dynamic programming approaches, are also reviewed. Overall, this paper is devoted to make a brief summary for recent progresses in FLC and NN-based intelligent control design for discrete-time systems as well as to present our thoughts and considerations of recent trends and potential research directions in this area. Yiming Jiang, Chenguang Yang, and Hongbin Ma Copyright © 2016 Yiming Jiang et al. All rights reserved. Complete Moment Convergence for Sung’s Type Weighted Sums of -Valued Random Elements Wed, 30 Mar 2016 08:37:32 +0000 http://www.hindawi.com/journals/ddns/2016/1484160/ Let and Let be a sequence of independent and identically distributed -valued random elements and let be an array of real numbers satisfying for some We give necessary and sufficient conditions for complete moment convergence of the form , where A strong law of large numbers for weighted sums of independent -valued random elements is also obtained. Wei Li, Pingyan Chen, and Soo Hak Sung Copyright © 2016 Wei Li et al. All rights reserved. Indefinite Kernel Network with -Norm Regularization Tue, 29 Mar 2016 12:13:05 +0000 http://www.hindawi.com/journals/ddns/2016/6516258/ We study the asymptotical properties of indefinite kernel network with -norm regularization. The framework under investigation is different from classical kernel learning. Positive semidefiniteness is not required by the kernel function. By a new step stone technique, without any interior cone condition for input space and condition for the probability measure , satisfied error bounds and learning rates are deduced. Zhongfeng Qu and Hongwei Sun Copyright © 2016 Zhongfeng Qu and Hongwei Sun. All rights reserved.