Home /Research /On Designing Fuzzy Controllers for a Class of Nonlinear Networked Control Systems
OTHER

On Designing Fuzzy Controllers for a Class of Nonlinear Networked Control Systems

Xiefu Jiang, Qing‐Long Han

Year
2008
Citations
146

Abstract

This paper is concerned with controller design for a class of nonlinear networked control systems. These systems are approximated by uncertain linear networked Takagi-Sugeno (T-S) models with both network-induced delay and data packet dropout. Sufficient conditions are derived for the existence of a fuzzy controllers. Then, an iterative algorithm for the controller design is proposed. A control problem of a flexible-joint robot arm system is studied to show the effectiveness of the iterative algorithm.

Keywords

Control theory (sociology)Networked control systemFuzzy control systemNonlinear systemComputer scienceFuzzy logicController (irrigation)Iterative learning controlIterative methodDropout (neural networks)

Related papers

Browse all OTHER papers