摘要
讨论了滞后非线性离散系统的学习控制问题 ,由于所给的学习算法及学习控制过程中 ,没有涉及和用到相应于理想输出 yd 的理想输入 ud 及对应于系统的理想状态 xd,故对被控对象的动力学信息要求得很少 ,只是一种定性上的 Lipschitz条件 .所给出的控制算法不仅收敛 ,而且也保证了对期望目标在通常意义下的跟踪 (而不是像目前有些结果那样 ,只是跟踪到期望目标的某一个邻域范围内 ) .而且这些算法还以目前一些通常的算法为特例 .
We discuss the learning control for nonlinear discrete system with delay. It is not necessary to use the desired input corresponding to the desired output and the desired state corresponding to the system in our learning algorithm and in the process of learning control. Therefore, our method needs less dynamics information of the controlled object than previous ones and only the qualitative Lipschitz condition is required. Not only is the learning algorithm convergent, but also it can track the desired target in common sense (not tracking the desired target only in a neighborhood as the existing ones). Our algorithm includes some existing ones as its special cares.
出处
《自动化学报》
EI
CSCD
北大核心
2001年第1期18-23,共6页
Acta Automatica Sinica
基金
国家自然科学基金!( 69874 0 31 )
广东省自然科学基金!( 980 50 6)
广州市基础科学基金!( 99J0 0 60 1 )
关键词
非线性离散系统
学习控制
新算法
目标跟踪
Algorithms
Control systems
Delay control systems
Discrete time control systems
Learning systems
Nonlinear control systems
Targets
Tracking (position)
