摘要
基于模糊逻辑系统具有充分利用语言信息和逼近连续函数性质的思想,分析研究了一类非线性不确定复杂系统的自适应控制问题.利用系统的数学模型和模糊逻辑系统对不确定性的输出信息,设计出了复杂系统的分散自适应鲁棒控制器和模糊逻辑系统参数估计的自适应律,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.仿真实例表明,所提出的方法是有效的.
Based on fuzzy logic system with the properties of fully utilizing linguistic information and approximating any nonlinear continuous function, the decentralized adaptive robust control laws of nonlinear complex systems with uncertainties was discussed. By using the model of the complex systems and output information coming from the fuzzy logic system about uncertain factors, the decentralized adaptive robust controller and adaptive laws of parameter estimate of fuzzy logic system were constructed. Under some simple conditions, the laws and controller made the states of systems controlled and parameter estimate errors uniformly ultimately bounded (UUB). Finally, the computer simulation showed the validity of the approach.
出处
《控制理论与应用》
EI
CAS
CSCD
北大核心
2003年第6期884-888,共5页
Control Theory & Applications
