基于遗传算法的输出反馈动态面优化控制

针对一类只有输出信号可测且非线性项含不可测状态的不确定系统，基于输入信号置换思想构建了神经网络状态观测器，结合动态面理论设计了输出反馈自适应控制方案。通过理论分析确定了控制律参数选取范围，保证了闭环控制系统所有信号半全局一致终结有界; 利用遗传算法提出一种参数寻优策略，选取了最优的输入初始值和控制律参数，解决了控制冲击问题，提高了跟踪精度。

Optimization for Output Feedback Dynamic Surface Control Based on Genetic Algorithm

For a class of uncertain systems with only output available and nonlinearities in the presence of unmeasured state，a state observer based on input signal replacement is firstly established by using the neural networks，then，an output feedback adaptive control scheme is proposed by employing dynamic surface theory． The controller parameters' range is initially selected by theoretical analysis． It is guaranteed that all signals in the closed － loop system are semi － global uniformly ultimately bounded． Parameters optimization strategy is proposed by using genetic algorithm． Then the optimal initial input and controller parameters are chosen，so the problem of input impulsion is solved and tracking precision is improved．