Self-optimizing fuzzy controller for nonlinear system with constraints
This paper presents a self-optimizing fuzzy controller for nonlinear dynamic plants whose model (including non-mathematical models and expert knowledge) is unknown. A new fuzzy algorithm is presented to improve control performances. Furthermore, a global meta-heuristic algorithm is presented to optimize the fuzzy parameters and to satisfy some nonlinear constraints. The numerical simulated experiments show the good performance on a time-varying parameters nonlinear plant.
Nonlinear Fuzzy control Optimizing Constraint
Jing-Song Hu
School of Computer Science and Engineering South China University of Technology Guangzhou 510006, China
国际会议
上海
英文
544-547
2011-07-26（万方平台首次上网日期，不代表论文的发表时间）