Stabilizing Predictive Control of Fuzzy Systems Described by Takagi-Sugeno Models

Robust Takagi-Sugeno sensor fault tolerant control strategy for nonlinear system

Generalized predictive control using Takagi-Sugeno fuzzy models - Intelligent Control/Intelligent Systems and Semiotics, 1999. Proceedings of the 1999 IEEE Internat

Predictive control has been first developed to control Linear Time Invariant plants, described by ARIMAX models. The extension of this control strategy in the case when the behavior of the plant is non linear and modeled by a Takagi-Sugeno fuzzy model is considered here. This kind of nonlinear model is locally linear and the GPC technique can be extended as a parallel distributed controller.

Admissibility analysis for discrete-time singular systems with time-varying delays by adopting the state-space Takagi-Sugeno fuzzy model

This paper is pertained with the problem of admissibility analysis of uncertain discrete-time nonlinear singular systems by adopting the state-space Takagi-Sugeno fuzzy model with time-delays and norm-bounded parameter uncertainties. Lyapunov Krasovskii functionals are constructed to obtain delay-dependent stability condition in terms of linear matrix inequalities, which is dependent on the low...

Fault-Tolerant Model-Based Predictive Control Using Multiple Takagi-Sugeno Fuzzy Models

In this paper, we address fault-tolerant control for non-linear plants. We perform soft fault detection and isolation for partial fault detection. A new method is proposed that combines model predictive controllers with fuzzy Takagi-Sugeno models. An example is presented to illustrate the functionality of the proposed approach. Keywords— Fault detection and isolation, multiple models, fuzzy Tak...

Design of robust fuzzy Sliding-Mode control for a class of the Takagi-Sugeno uncertain fuzzy systems using scalar Sign function

This article presents a fuzzy sliding-mode control scheme for a class of Takagi-Sugeno (T-S) fuzzy which are subject to norm-bounded uncertainties in each subsystem. The proposed stabilization method can be adopted to explore T-S uncertain fuzzy systems (TSUFS) with various local control inputs. Firstly, a new design is proposed to transform TSUFS into sliding-mode dynamic systems.In addi...