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严格反馈随机非线性系统的鲁棒自适应逆最优跟踪
Robust Adaptive Inverse Optimal Tracking for Strict-Feedback Stochastic Nonlinear System
【摘要】 针对具有未知定常参数和标准Wiener噪声扰动的严格反馈非线性系统,结合参考信号,构造了误差系统,使用Backstepping算法设计了误差系统的自适应逆最优控制律和参数自适应律,进而解决了原系统的鲁棒自适应逆最优跟踪。
【Abstract】 For a class of stochastic nonlinear continuous systems with additive standard Wiener-noises and constant unknown parameters,combining the system function with the known reference signal, the error system is obtained.The inverse optimal controller and parameter adaptive laws are designed by using Backstepping algorithm. The robust adaptive inverse optimal tracking problem is solved.
【关键词】 Wiener噪声;
Backstepping算法;
逆最优;
误差系统;
鲁棒自适应跟踪;
【Key words】 Wiener-Noises; Backstepping Algorithm; Inverse Optimal; Error-System; Robust Adaptive Inverse Optimal Tracking;
【Key words】 Wiener-Noises; Backstepping Algorithm; Inverse Optimal; Error-System; Robust Adaptive Inverse Optimal Tracking;
【基金】 国家自然科学基金(60774010)资助;曲阜师范大学科研启动基金课题资助
- 【文献出处】 自动化与信息工程 ,Automation & Information Engineering , 编辑部邮箱 ,2007年04期
- 【分类号】TP273.2
- 【被引频次】1
- 【下载频次】101