基于最小二乘算法的最优适应控制器
Optimal Adaptive Controllers Based on Least Squares Algorithms
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摘要: 采用"输入匹配"的方法,建立了"一步超前"最小二乘算法,得以参数估计的收敛速度. 证明了闭环适应系统是全局稳定的,且适应控制收敛于"一步超前"最优控制.Abstract: Optimal adaptive controllers based on input matching for the stochastic systems are studied by using least squares algorithms in this paper. The one-step-ahead least squares method is established and the convergence rate of the parameter estimation is obtained. Without any excited condition it is shown that the closed-loop system is globally stable and adaptive control converges to the one-step-ahead optimal control.
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Key words:
- Least squares' method /
- convergence rate /
- optimal adaptive control /
- globally stable
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