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不确定高次随机非线性系统的自适应控制 被引量:9

Adaptive control for high-order uncertain stochastic nonlinear systems
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摘要 针对一类含有噪声干扰和非线性参数的高次随机非线性系统,研究了依概率全局自适应稳定问题.在噪声的协方差未知的情况下,利用自适应增加幂积分方法和参数分离技术,提出了一种反馈占优设计方法并构造了一个光滑自适应控制器.该控制器能保证闭环系统依概率全局稳定,并且系统的状态几乎必然收敛到零.仿真例子验证了控制方案的有效性. The adaptive global stabilization problem is studied for a class of high-order stochastic nonlinear systems driven by noise of unknown covariance and with nonlinear parameterization.Based on the method of adaptive adding a power integrator and using the technique of parameter separation,a feedback domination design approach is presented and a smooth adaptive controller is constructed which ensures for the closed-loop system the global stability in probability,and the states can be regulated to zero almost surely.A simulation example is given to illustrate the effectiveness of the control scheme.
出处 《控制理论与应用》 EI CAS CSCD 北大核心 2011年第2期242-246,共5页 Control Theory & Applications
基金 国家自然科学基金资助项目(60774010 61074040) 山东省自然科学基金资助项目(ZR2009GL009) 曲阜师范大学博士科研启动基金资助项目 曲阜师范大学自然科学基金资助项目(XJ200846)
关键词 自适应控制 随机非线性系统 增加幂积分 反馈占优设计 adaptive control stochastic nonlinear systems adding a power integrator feedback domination design
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