摘要
研究了一类时变不确定大系统的分散镇定问题,其不确定性是范数有界不确定性和不确定性的界未知,且不满足匹配条件。基于Lyapunov稳定性理论,设计了两类分散自适应无记忆状态反馈控制,给出了系统状态渐近稳定的充分条件。通过数值例子验证了所提方法的有效性。
The problem of robust decentralized stabilization is considered for a class of uncertain time-varying large-scale uncertain system. The uncertainties are composed of two parts. One is the norm bounded manner, the other is the upper bounds of the uncertainties assumed to be unknown and not satisfying the matching conditions. Two classes of adaptive decentralized memoryless state feedback controllers are proposed. Based on Lyapunov stability theory, the sufficient conditions are obtained which can guarantee the state of the system asymptotical stability. A numerical example is presented which shows that the proposed methods are effective.
出处
《电机与控制学报》
EI
CSCD
北大核心
2006年第1期66-69,73,共5页
Electric Machines and Control
基金
江苏省教育厅自然科学研究计划项目(04KJB510105)
上海市基础研究重点项目(04IC14031)
关键词
自适应控制
分散状态反馈
时滞大系统
渐近稳定
adaptive control
decentralized state feedback
large-scale time-delay system
asymptotical stability
