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作 者:Yanyan YIN Fei LIU Yan SHI
机构地区:[1]Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Institute of Automation, Jiangnan University, Wuxi Jiangsu 214122, China [2]School of Industrial Engineering, Tokai University, 9-1-1, Toroku, Kumamoto 862-8652, Japan
出 处:《控制理论与应用(英文版)》2012年第1期118-123,共6页
基 金:supported by the National Natural Science Foundation of China (No. 60974001)
摘 要:In this paper, global exponential stochastic stability based continuous gain-scheduled robust L-two-L- infinity filtering problem is studied for a class of stochastic neutral systems subject to time-varying parameters. First, the stochastic time-varying neutral systems are described by a series of stochastic time-constant systems at some selected time points, then based on stochastic Lyapunov-Krasovskii functional approach, a new globally exponentially stochastically stabilizable criterion is derived for each of the jumping system by means of linear matrix inequalities. Subsequently, L- two-L-infinity filtering systems are designed for such linear jump systems. Finally; continuous gain-scheduled approach is employed to design time-varying filter systems for the whole working region. A simulation example shows the effectiveness and potential of the developed techniques.In this paper, global exponential stochastic stability based continuous gain-scheduled robust L-two-L- infinity filtering problem is studied for a class of stochastic neutral systems subject to time-varying parameters. First, the stochastic time-varying neutral systems are described by a series of stochastic time-constant systems at some selected time points, then based on stochastic Lyapunov-Krasovskii functional approach, a new globally exponentially stochastically stabilizable criterion is derived for each of the jumping system by means of linear matrix inequalities. Subsequently, L- two-L-infinity filtering systems are designed for such linear jump systems. Finally; continuous gain-scheduled approach is employed to design time-varying filter systems for the whole working region. A simulation example shows the effectiveness and potential of the developed techniques.
关 键 词:Time-varying neutral system Gain scheduling Exponential stochastic stability L-two-L-infinity filter-ing Markov jump
分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置] O175.13[自动化与计算机技术—控制科学与工程]
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