Decentralized Adaptive Control of Large-scale Stochastic Nonlinear Systems in Parametric Non-strict-feedback Forms
In this paper, decentralized adaptive control problem is studied for a class of stochastic nonlinear large-scale systems in parametric non-strict-feedback forms. By employing the stochastic Lyapunov-like theorem and the backstepping design technique, the adaptive state feedback decentralized controller and parameters adaptive law are developed. It is shown that such an adaptive control scheme can guarantee that the closed-loop, large-scale, interconnected stochastic nonlinear system is globally bounded stable in probability.
Stochastic Large-scale Systems Decentralized Control Adaptive Control State Feedback
Sai Wu Chengke Zhang Youfa Sun
School of Management, Guangdong University of Technology, Guangzhou, 510520
国际会议
The 22nd China Control and Decision Conference(2010年中国控制与决策会议)
徐州
英文
2543-2546
2010-05-26（万方平台首次上网日期，不代表论文的发表时间）