A design method of the robust adaptive disturbance attenuation controller for nonlinear systems with uncertainty and disturbance is discussed.
针对带有不确定性和外界扰动的非线性系统，讨论了鲁棒自适应干扰衰减控制器的设计方法。
An adaptive sliding mode control based on fuzzy wavelet network is proposed to guarantee the effects of the tracking error and external disturbances can be attenuated to a specific attenuation level.
提出了一种自适应模糊小波神经网络的滑模控制策略，保证系统的跟踪误差和对外界干扰的抑制被衰减到期望的程度。
A parameter adaptive law and a control law were obtained to ensure asymptotic attenuation of the tracking error to zero with probability 1. The simulation results show the validity of the method.
给出了参数自适应律和控制律，使得跟踪误差以概率1渐近衰减到零。仿真结果表明了该设计方法的有效性。
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