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Event-triggered tracking control for heterogeneous multi-agent systems with Markov communication delays

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS 2013年第5期350卷 1312-1334页

作者： Yin, Xiuxia Yue, Dong Huazhong Univ Sci & Technol Dept Control Sci & Engn Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Key Lab Minist Educ Image Proc & Intelligent Control Wuhan 430074 Peoples R China

In this paper, we investigate the consensus problem of a set of discrete-time heterogeneous multi-agent systems with random communication delays represented by a Markov chain, where the multi-agent systems are composed of two kinds of agents differed by their dynamics. First, distributed consensus control is designed by employing the event-triggered communication technique, which can lead to a significant reduction of the information communication burden in the multi-agent network. Then, the mean square stability of the closed loop multi-agent systems is analyzed based on the Lyapunov functional method and the Kronecker product technique. Sufficient conditions are obtained to guarantee the consensus in terms of linear matrix inequalities (LMIs). Finally, a simulation example is given to illustrate the effectiveness of the developed theory. (C) 2013 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.

关键词： MULTIAGENT systems TRACKING control systems (Engineering) MARKOV processes DISCRETE-time systems LINEAR matrix inequalities KRONECKER products

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L2-Gain analysis of event-triggered networked control systems: a discontinuous Lyapunov functional approach

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INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR control 2013年第11期23卷 1277-1300页

作者： Hu, Songlin Yue, Dong Huazhong Univ Sci & Technol Dept Control Sci & Engn Minist Educ Image Proc & Intelligent Control Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Dept Control Sci & Engn Key Lab Wuhan 430074 Peoples R China

In this paper, the problems of exponential stability and L2-gain analysis of event-triggered networked control systems (NCSs) with network-induced delays are studied. We first propose event-triggering conditions in the sensor side and controller side, respectively. Because the implementation of our event-triggering scheme only needs periodic supervision of the system state at the constant sampling instants, instead of being monitored continuously, it is expected that the scheme will improve the resource utilization. Taking the network-induced delays into account and using delay system approach, we constructed a unified model of NCSs with hybrid event-triggering schemes. On the basis of this model, sufficient conditions for the exponential stability and L2-gain analysis are developed in the form of LMIs by using a discontinuous Lyapunov-Krasovskii functional approach. Moreover, the corresponding results can be further extended to more general cases, where the system matrices of the considered plant contain parameter uncertainties, represented in either polytopic or norm-bounded frameworks. In addition, as a special case, we also present the exponential stability, L2-gain analysis, and the control feedback gain design of event-triggered NCSs without considering the effects of network-induced delays and event-triggering condition in the controller side. Finally, a simulation example is provided to illustrate the usefulness and effectiveness of the proposed hybrid event-triggering *** (c) 2012 John Wiley & Sons, Ltd.

关键词： event-triggering exponential stability L2-gain Lyapunov-Krasovskii functional NCSs

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Passivity analysis for delayed discontinuous neural networks

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SOFT COMPUTING 2013年第11期17卷 2033-2041页

作者： Xiao, Jian Zeng, Zhigang Shen, Wenwen Huazhong Univ Sci & Technol Sch Automat Wuhan 430074 Hunan Peoples R China Educ Minist China Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China

In this paper, we have integrated the passivity of delayed neural networks with discontinuous activations which are unbounded. Based on differential inclusion theory and nonsmooth analysis, some sufficient conditions are presented by means of the generalized Lyapunov method. The results are established in form of linear matrix inequality. In addition, Some numerical examples are proposed to show the effectiveness of the developed results.

关键词： Discontinuous neuron activation Neural networks Passivity Differential inclusion

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Unsupervised color-texture segmentation based on multiscale quaternion Gabor filters and splitting strategy

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SIGNAL processing 2013年第9期93卷 2559-2572页

作者： Li, Lei Jin, Lianghai Xu, Xiangyang Song, Enmin Huazhong Univ Sci & Technol Sch Comp Sci & Technol Wuhan 430074 Peoples R China Educ Minist Image Proc & Intelligent Control Key Lab Wuhan 430074 Peoples R China

This paper proposes a new method for color-texture segmentation based on a splitting framework with graph cut technique. To process the scale difference of quaternion Gabor filter (QGF) features of a color textured image, a new multiscale QGF (MQGF) is introduced to describe texture attributes of the given image. Then, the segmentation is formulated in terms of energy minimization gradually obtained using binary graph cuts, where color and MQGF features are modeled with a multivariate finite mixture model, and minimum description length (MDL) principle is integrated into this framework as a splitting criterion. In contrast to previous approaches, our method finds an optimal segmentation by balancing energy cost and coding length, and the segmentation result is determined during the splitting process automatically. Experimental results on both synthetic and real natural color textured images demonstrate the good performance of the proposed method. (c) 2013 Elsevier B.V. All rights reserved.

关键词： Color-texture segmentation Multiscale quaternion Gabor filter Graph cuts Minimum description length

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Robust sampled-data H∞ output tracking control for a class of nonlinear networked systems with stochastic sampling

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INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE 2013年第9期44卷 1626-1638页

作者： Wen, Shiping Zeng, Zhigang Huazhong Univ Sci & Technol Dept Control Sci & Engn Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Key Lab Image Proc & Intelligent Control Educ Minist China Wuhan 430074 Peoples R China

In this article, the problem of robust sampled-data H output tracking control is investigated for a class of nonlinear networked systems with stochastic sampling and time-varying norm-bounded uncertainties. For the sake of technical simplicity, only two different sampling periods are considered, their occurrence probabilities are given constants and satisfy Bernoulli distribution, and can be extended to the case with multiple stochastic sampling periods. By the way of an input delay, the probabilistic system is transformed into a stochastic continuous time-delay system. A new linear matrix inequality-based procedure is proposed for designing state-feedback controllers, which would guarantee that the closed-loop networked system with stochastic sampling tracks the output of a given reference model well in the sense of H. Conservatism is reduced by taking the probability into account. Both network-induced delays and packet dropouts have been considered. Finally, an illustrative example is given to show the usefulness and effectiveness of the proposed H output tracking design.

关键词： output tracking control stochastic sampling uncertainties

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Robust Fault-Tolerant control of Launch Vehicle Via GPI Observer and Integral Sliding Mode control

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ASIAN JOURNAL OF control 2013年第2期15卷 614-623页

作者： Zhao, Dang-Jun Wang, Yong-Ji Liu, Lei Wang, Zhi-Shen Huazhong Univ Sci & Technol Key Lab Image Proc & Intelligent Control Dept Control Sci & Engn Wuhan 430074 Peoples R China Cent S Univ Sch Aeronaut & Astronaut Changsha 410083 Hunan Peoples R China

A robust fault-tolerant attitude control scheme is proposed for a launch vehicle (LV) in the presence of unknown external disturbances, mismodeling dynamics, actuator faults, and actuator's constraints. The input-output representation is employed to describe the rotational dynamics of LV rendering three independently decoupled second order single-input-single-output (SISO) systems. In the differential algebraic framework, general proportional integral (GPI) observers are used for the estimations of the states and of the generalized disturbances, which include internal perturbations, external disturbances, and unknown actuator failures. In order to avoid the defects of the conventional sliding surface, a new nonlinear integral sliding manifold is introduced for the robust fault-tolerant sliding mode controller design. The stability of the GPI observer and that of the closed-loop system are guaranteed by Lyapunov's indirect and direct methods, respectively. The convincing numerical simulation results demonstrate the proposed control scheme is with high attitude tracking performance in the presence of various disturbances, actuator faults, and actuator constraints.

关键词： fault-tolerant control launch vehicle attitude control integral sliding mode control general proportional integral observer

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An approach with nested partition for resource-constrained project scheduling problem

An approach with nested partition for resource-constrained p...

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19th International Conference on Industrial Engineering and Engineering Management: Assistive Technology of Industrial Engineering

作者： Liu, Zhen-Yuan Yu, Wen-Min Institute of Systems Engineering Huazhong University of Science and Technology Wuhan China Key Laboratory of Education Ministry for Image Processing and Intelligent Control Wuhan China

ISBN: (纸本)9783642383908

A time-based nested partition (NP) approach is proposed to solve resource-constrained project scheduling problem (RCPSP) in this paper. In iteration, one activity is selected as the base point of which the finish time interval calculated by CPM is divided into two parts to form two subregions on the basis of the promising region of the last iteration. Then sampling is taken in both subregions and the surrounding region to determine the promising region and aggregate the other as the surrounding region of this iteration so that whether the backtracking or the moving operation being performed is determined. Double justification is also performed in iteration to improve the results. The results of numerical tests on PSPLIB show the effectiveness and time-efficient of the proposed NP method. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Scheduling

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Electrified Vehicles and the Smart Grid: The ITS Perspective

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IEEE TRANSACTIONS ON intelligent TRANSPORTATION SYSTEMS 2014年第4期15卷 1388-1404页

作者： Cheng, Xiang Hu, Xiaoya Yang, Liuqing Husain, Iqbal Inoue, Koichi Krein, Philip Lefevre, Russell Li, Yaoyu Nishi, Hiroaki Taiber, Joachim G. Wang, Fei-Yue Zha, Yabing Gao, Wen Li, Zhengxi Peking Univ Beijing 100871 Peoples R China Beijing Jiaotong Univ State Key Lab Rail Traff Control & Safety Beijing 100044 Peoples R China Huazhong Univ Sci & Technol Key Lab Minist Educ Image Proc & Intelligent Control Sch Automat Wuhan 430074 Peoples R China Colorado State Univ Ft Collins CO 80523 USA N Carolina State Univ Dept Elect & Comp Engn Raleigh NC 27695 USA Keio Univ Keio Adv Res Ctr Yokohama Kanagawa 2238522 Japan Keio Univ Dept Syst Design Engn Yokohama Kanagawa 2238522 Japan Univ Illinois Grainger Ctr Elect Machinery & Elect Dept Elect & Urbana IL 61801 USA Univ N Dakota Grand Forks ND 58202 USA Univ Texas Dallas Dept Mech Engn Richardson TX 75083 USA Clemson Univ Clemson SC 29634 USA Chinese Acad Sci Key Lab Complex Syst & Intelligence Sci Beijing 100864 Peoples R China Natl Univ Def Technol Sch Informat Syst & Management Changsha 410073 Hunan Peoples R China Peking Univ Beijing 100871 Peoples R China North China Univ Technol Beijing 100144 Peoples R China

Vehicle electrification is envisioned to be a significant component of the forthcoming smart grid. In this paper, a smart grid vision of the electric vehicles for the next 30 years and beyond is presented from six perspectives pertinent to intelligent transportation systems: 1) vehicles;2) infrastructure;3) travelers;4) systems, operations, and scenarios;5) communications;and 6) social, economic, and political.

关键词： Energy efficiency intelligent transportation systems smart grid

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Bipartite flock control of multi-agent systems

Bipartite flock control of multi-agent systems

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32nd Chinese control Conference (CCC)

作者： Fan, Ming-Can Zhang, Hai-Tao Huazhong Univ Sci & Technol Dept Control Sci & Engn Key Lab Image Proc & Intelligent Control State Key Lab Digital Mfg Equipment & Technol Wuhan 430074 Peoples R China

ISBN: (纸本)9789881563835

This paper addresses the bipartite flock control problem with or without a virtual leader. Using structurally balanced signed graph theory and LaSalle's invariance principle, we prove that the algorithm guarantees a bipartite flocking behavior. In such a collective motion, the whole group separates into two clusters, in each of which all individuals move with the same direction. Meanwhile, every pair of agents in different clusters moves with opposite directions. Moreover, all agents in the two separated clusters approach a common velocity magnitude, and collision avoidance among each cluster is ensured as well. Finally, the proposed bipartite flock control method are examined by numerical simulations. The bipartite flocking motion addressed by this paper has its references in both natural collective motions and human group behaviors such as predator-prey and panic escaping scenarios.

关键词： Flocking Multi-agent systems Signed graph Virtual leader

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Congestion analysis of traffic networks with direction-dependant heterogeneity

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PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS 2013年第2期392卷 392-399页

作者： Wang, Jian Wang, Ling Huazhong Univ Sci & Technol Syst Engn Inst Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China

Traffic flow directionality and network weight asymmetry are widespread notions in traffic networks. This paper investigates the influence of direction-dependant heterogeneity on traffic congestion. To capture the effect of the link directionality and link weight asymmetry, the heterogeneity indexes of complex networks and the traffic flow model are introduced. The numerical results show that the critical value of heterogeneity determines congestion transition processes. The congestion degree increases with heterogeneity when the network heterogeneity is at a subcritical region. A network is more tolerant of congestion if the heterogeneity of the network is smaller or larger than the critical value. Furthermore, when heterogeneity reaches the critical value, the average number of accumulated vehicles arrives at the maximum and the traffic flow is under a serious congestion state. A significant improvement on the tolerance to congestion of traffic networks can be nude if the network heterogeneity is controlled within a reasonable range. (c) 2012 Elsevier B.V. All rights reserved.

关键词： Traffic networks Complex networks Congestion Heterogeneity

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