【摘要】 利用模糊逻辑系统的万能逼近性质 ,分析和研究了一类非线性不确定复杂系统的输出反馈鲁棒镇定问题 ,给出了这类系统的分散自适应输出反馈鲁棒控制器和模糊逻辑系统参数估计的自适应律 ,并在较弱的假设条件下 ,证明了这种控制器使被控系统的状态及参数估计误差一致终极有界。仿真实例说明了文中提出的方法是有效的更多还原

【Abstract】 Refs.1,2 and 3 all dealt with decentralized adaptive output feedback robust stabilization of complex systems; in our opinion, they all made some hypotheses that are so stringent as to make their conclusions very difficult to apply to real engineering problems. We propose a new method that requires three simple hypotheses as explained in section 1. Our new method employs a fuzzy logic system that can approximate any continuous function with arbitrary exactness. Our new method can design output feedback decentralized robust controller and parameter adaptive law for a class of complex systems as described by eq.(1); this class of complex systems has widespread applications in engineering. Section 2 describes the designing process, in which the synthesized controllers depend directly on the output of fuzzy logic system and the uncertainties of the system to be controlled are centralized to simplify the structure of the controller. Section 2 gives the proof of Theorem 1 under certain conditions, which include the three simple hypotheses. According to Theorem 1, the decentralized controllers and adaptive laws can ensure that the states of the systems to be controlled and the parameter estimate errors are uniformly ultimately bounded (UUB). Section 3 takes as example a complex system composed of two subsystems; simulation results, given in Fig. 1, show preliminarily that our new method is feasible.更多还原