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针对一类不确定非线性MIMO互连系统,提出一种自适应模糊控制算法.通过设计观测器来估计系统的状态,因此不要求假设系统的状态是可测的.给出的自适应律只对不确定界进行在线调节,从而大大减轻了在线计算负担.该算法能够保证闭环系统的所有信号是一致有界的,并且跟踪误差指数收敛到一个小的零邻域内.仿真结果表明了算法的可行性.
For a class of uncertain nonlinear MIMO interconnected systems, an adaptive fuzzy control algorithm is proposed. By designing observers to estimate the state of the system, it is not required to assume that the state of the system is measurable. The adaptive law The on-line adjustment of uncertain bounds can reduce the burden of on-line computation greatly.The algorithm can ensure that all signals of the closed-loop system are uniformly bounded and the tracking error index converges into a small zero neighborhood.The simulation results show that feasibility.