In this thesis, model following adaptive fuzzy tracking control is presented for multi-input multi-output (MIMO) biped robot. 中文摘要在本论文要探讨一个适应模糊控制器针对于这个多输入多输出参数未知的二足机器人。
In chapter 5, RLS algorithm is used to form a fuzzy model of the plant being controlled. and then an adaptive designed method of fuzzy controller is proposed based on the established model. 同时，基于快速收敛的递归最小二乘算法的模糊建模方法，提出了一种模糊自适应目标跟踪系统的设计与实现方法。
A new scheme of adaptive fuzzy sliding model variable structure control for a class of uncertain nonlinear system is presented, which is by incorporating adaptive model tracking control and fuzzy control with reaching law. 针对一类非线性不确定系统,把自适应模型跟踪控制和模糊控制与趋近律相结合,提出一种新的自适应模糊滑模变结构控制方案。
2.Second topics, a method called Genetic Ellipsoid Learning Algorithm (GELA) is proposed for adaptive fuzzy modeling integrating Genetic Algorithm (GA) and Gustafson-Kessel (G-K) Algorithm. 2.