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具有Markov跳跃参数的随机非线性系统的自适应跟踪 被引量：1

Adaptive tracking of stochastic nonlinear systems with Markovian jumping parameters
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摘要 采用随机控制Lyapunov设计方法,针对参数严格反馈形式的Markov跳跃非线性系统,研究了一类具有Markov跳跃参数的随机非线性系统的自适应跟踪问题.给出了参数自适应律和控制律,使得跟踪误差以概率1渐近衰减到零.仿真结果表明了该设计方法的有效性. Adaptive tracking problems for a class of stochastic nonlinear systems with Markovian jumping parameters were investigated. A Lyapunov design method was applied for Markovian jumping systems in the form of parametric-strict-feedback. A parameter adaptive law and a control law were obtained to ensure asymptotic attenuation of the tracking error to zero with probability 1. The simulation results show the validity of the method.
作者 朱进 季海波 李大鹏 奚宏生
机构地区 中国科学技术大学自动化系
出处 《中国科学技术大学学报》 CAS CSCD 北大核心 2006年第5期517-522,共6页 JUSTC
基金 高等学校博士点专项基金(20050358044)资助
关键词 随机稳定 MARKOV跳跃系统 自适应跟踪 stochastic stability Markovian jumping systems adaptive tracking
分类号 TP273.2 [自动化与计算机技术—检测技术与自动化装置]
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参考文献9

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中国科学技术大学学报
2006年 第5期

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