非线性系统的智能容错控制

本文提出一种针对非线性系统问题的智能容错控制方案，该方案基于自适应模糊逻辑系统的学习方法，论述了控制器作为一个扩充的体系，集成了自适应模糊控制器、检测控制器及调节控制器三者的功能。仿真表明，所提出的控制方案能够有效的鉴别和适应非线性未知错误，且被控系统在不确定及产生错误时具有很好的稳定性和鲁棒性。

Intelligent Fault-Tolerant Control of the Nonlinear System Based on Fuzzy Learning Methodology

This paper presents an intelligent fault tolerant control scheme for a class of non- linear system using learning methodology which is based on adaptive fuzzy logic system. The whole control scheme proposed is an augmentation control architecture integrating adaptive fuzzy controller, supervisory controller and accommodating controller. Simulations showed that the presented control scheme can effectively identify and accommodate non-linear unknown faults, and the controlled system is stable and robust in uncertainties and faults.