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H-infinity performance optimization for networked control systems with limited communication channels 被引量:3
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作者 Yulong WANG Guanghong YANG 《控制理论与应用(英文版)》 EI 2010年第1期99-104,共6页
This paper studies the problems of H-infinity performance optimization and controller design for continuous-time NCSs with both sensor-to-controller and controller-to-actuator communication constraints (limited commu... This paper studies the problems of H-infinity performance optimization and controller design for continuous-time NCSs with both sensor-to-controller and controller-to-actuator communication constraints (limited communication channels). By taking the derivative character of network-induced delay into full consideration and defining new Lyapunov functions, linear matrix inequalities (LMIs)-based H-infinity performance optimization and controller design are presented for NCSs with limited communication channels. If there do not exist any constraints on the communication channels, the proposed design methods are also applicable. The merit of the proposed methods lies in their Jess conservativeness, which is achieved by avoiding the utilization of bounding inequalities for cross products of vectors. The simulation results illustrate the merit and effectiveness of the proposed H-infinity controller design for NCSs with limited communication channels. 展开更多
关键词 Networked control systems (NCSs) limited communication channels Performance optimization Controller design
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Coordination of multiple mobile robots with limited communication range in pursuit of single mobile target in cluttered environment 被引量:1
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作者 Jianying ZHENG Haibin YU +2 位作者 Meng ZHENG Wei LIANG Peng ZENG 《控制理论与应用(英文版)》 EI 2010年第4期441-446,共6页
This paper addresses the problem of coordinating multiple mobile robots in searching for and capturing a mobile target,with the aim of reducing the capture time.Compared with the previous algorithms,we assume that the... This paper addresses the problem of coordinating multiple mobile robots in searching for and capturing a mobile target,with the aim of reducing the capture time.Compared with the previous algorithms,we assume that the target can be detected by any robot and captured successfully by two or more robots.In this paper,we assume that each robot has a limited communication range.We maintain the robots within a mobile network to guarantee the successful capture.In addition,the motion of the target is modeled and incorporated into directing the motion of the robots to reduce the capture time.A coordination algorithm considering both aspects is proposed.This algorithm can greatly reduce the expected time of capturing the mobile target.Finally,we validate the algorithm by the simulations and experiments. 展开更多
关键词 Multirobot system Distributed control Mobile network Probabilistic strategy limited communication range Target tracking Coordinated control
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