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A Game-theoretical Approach for a Finite-time Consensus of Secondorder Multi-agent System
Lei Xue,Changyin Sun,Donald C. Wunsch II 제어·로봇·시스템학회 2019 International Journal of Control, Automation, and Vol.17 No.5
The second-order consensus problem depends on not only the topology condition but also the couplingstrength of the relative positions and velocities between neighboring agents. This paper seeks to solve the finitetimeconsensus problem of second-order multi-agent systems by games with special structures. Potential gameand weakly acyclic game were applied for modeling the second-order consensus problem with different topologies. Furthermore, this paper introduces the event-triggered asynchronous cellular learning automata algorithm foroptimizing the decision making process of the agents, which facilitates a convergence with the Nash equilibrium. Finally, numerical examples illustrate the effectiveness of the models.
Fan Jiang,Benchao Wang,Changyin Sun 보안공학연구지원센터 2015 International Journal of Future Generation Communi Vol.8 No.5
In this paper, the communication mode selection issue as well as pricing mechanism in relaying enhanced device-to-device (D2D) communications is discussed. By considering the user density within the cell, the problem of “when D2D relaying mode should be selected?” is explored. Furthermore, based on game theoretical approach, the optimal pricing strategy is proposed so as to encourage D2D relaying behavior among D2D peers. Considering user’s demands and D2D devices’ constraint ability, the proposed mechanism is based on the user’s payoff model. Simulation results demonstrate that under game theoretical model, the proposed scheme can achieve the maximal utility for D2D devices when the reasonable price is adopted, hence better user experience can be obtained.
Targets Association across Multiple Cameras by Learning Transfer Models
Liu Suolan,Wang Jia,Sun Changyin 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.1
In this paper, we propose a novel method to solve the problem of targets association and tracking across multiple cameras of non-overlapping views. The method is divided into two parts. One is an improvement on appearance transfer model, another is an improvement on spatio-temporal transfer model. To learn inter-camera appearance transfer models, lαβ color space is used to calibrate images. By this way, the overall and local information can be used, which has advantage to color transform correction. To learn spatio-temporal transfer model, entry/exit zones of a non-overlapping topology can be effectively estimated by defining valid link and using clustering method. Then a kind of time constrain is set between two nodes to judge whether there is correlation of observations. Experiments show the effectiveness of the proposed method.
Impulsive Controller Design for Singular Networked Control Systems with Packet Dropouts
Xianlin Zhao,Shumin Fei,Changyin Sun 제어·로봇·시스템학회 2009 International Journal of Control, Automation, and Vol.7 No.6
This paper considers the problem of impulsive time-delay control for singular networked impulsive control systems(SNICSs) and uncertain SNICSs both with network-induced delay and packet dropouts. The parameter uncertainty is assumed to be norm bounded. The problem to be addressed is the design of robust impulsive time-delay feedback controllers such that the exponential stability of the resulting closed-loop system is guaranteed for admissible uncertainties. By applying Lyapunov function theory and Halanay Lemma, impulsive time-delay controller is derived through solving LMIs. Numerical examples are provided to demonstrate the application of the proposed method.
Robust Output Feedback Consensus of High-order Multi-agent Systems with Nonlinear Uncertainties
Yao Yu,Na Li,Liang Sun,Jian Liu,Changyin Sun 제어·로봇·시스템학회 2020 International Journal of Control, Automation, and Vol.18 No.2
In this paper, the output feedback consensus problem of high-order multi-agent systems with nonlinear uncertainties is researched by the robust control method. By the dimensional extension of the observation matrix, the consensus control problem is transformed into a stability problem. Then the robust controller is designed by combining the nominal controller and the robust compensator. The nominal controller can obtain desired nominal performance based on the output informations. The robust compensator, which relys on robust signal compensation technology, is order to suppress the nonlinear uncertainties. According to the proposed method, output consensus error can be guaranteed as small as desired. Finally, simulation results are given to illustrate the effectiveness of this control method.
Tao Li,Lei Guo,Lingyao Wu,Changyin Sun 제어·로봇·시스템학회 2009 International Journal of Control, Automation, and Vol.7 No.2
This article investigates the problem of robust stability for neural networks with time-varying delays and parameter uncertainties of linear fractional form. By introducing a new Lyapunov-Krasovskii functional and a tighter inequality, delay-dependent stability criteria are established in term of linear matrix inequalities (LMIs). It is shown that the obtained criteria can provide less conservative results than some existing ones. Numerical examples are given to demonstrate the applicability of the proposed approach.
Robust Control for a Class of Time-delay Nonlinear Systems via Output Feedback Strategy
Kang Wu,Zhen-Guo Liu,Changyin Sun 제어·로봇·시스템학회 2018 International Journal of Control, Automation, and Vol.16 No.3
This paper studies the robust control problem for time-delay systems with complicated inherent nonlinearities and unknown disturbances. Based on the modified homogeneous domination method and by constructing the proper Lyapunov-Krasovskii (L-K) functional, output feedback controllers are successfully constructed to guarantee the boundedness of all the states of the closed-loop system. The convergence of the states is also realizable when the L2 norm of the disturbance exists. The presented method is also extended to solve the control problem of nonholonomic time-delay system. Simulation examples are given to show the effectiveness of the proposed theory.