基于启发式搜索的一类离散非线性系统优化控制算法

研究了输入受约束、状态饱和系统的优化控制问题，得到了此类系统渐近稳定的充分条件，同时将最优控制问题转换为最优化搜索问题依据人工智能中的启发式搜索策略，给出了启发式优化控制算法，并就此算法的渐近稳定性给出了证明，仿真结果表明算法的有效性．

A Discrete-Time Nonlinear System Optimal Control Algorithm Based on Heuristic Search

This paper deals with the optimal control problem for a state saturation, input constrained system. The asymptotic stability of the system is discussed. To translate the origin problem into optimization problem, the paper proposes the heuristic optimal control algorithm based on heuristic search strategy of artifical intelligence and gives the condition of the asymptotic stability of the closed sytem. The numerical example shows the effectiveness of the proposed algorithm.