摘要
利用模糊逻辑系统分析和研究了一类非线性不确定系统的自适应控制问题。控制器和自适应律的构成直接利用了系统的数学结构信息和模糊逻辑系统的对不确定性的输出信息 ,在较弱的假设条件下 ,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。最后对水箱组合系统的仿真实例说明了本文所采用的方法是比较有效的。
Employing a fuzzy logic system that can approximate any continuous function with arbitrary exactness, we synthesize the adaptive laws and controller for a class of nonlinear system with uncertainties, whose bounded functions are unknown, and then we find that the architecture of adaptive laws and controller depends directly on the structure information of the system to be controlled and on the output of fuzzy logic system. We conclude that under some simple conditions, the adaptive laws and controller that we have proposed can ensure the following two groups to be uniformly ultimately bounded (UUB): (1) the states of the system to be controlled and (2) parameter estimate errors. An example of two water tanks is taken to show the validity of our method.
出处
《西北工业大学学报》
EI
CAS
CSCD
北大核心
2002年第4期524-527,共4页
Journal of Northwestern Polytechnical University
基金
国家重点基础研究发展规划项目 (G19980 30 471)
内蒙古自治区高等学校科学研究项目 (2D0 0 0 2 )
