In this paper we address the stability of a class of nonlinear fuzzy systems that can be decomposed into a set of local models characterised as Takagi-Sugeno models. This new approach includes a consideration of the input membership functions, via this a reduction in the number of candidate Lyapunov functions and associated linear matrix inequalities (LMIs) is produced. This approach significantly reduces the computational load associated with determining closed loop stability as the input dimension increases
Stability analysis of TS fuzzy systems can be much improved by resorting to fuzzy Lyapunov functions...
This paper investigates the stability of fuzzy-model-based (FMB) control system, formed by a T-S fuz...
AbstractIn terms of the Fuzzy Lyapunov method, this work proposes stability conditions for fuzzy log...
Stability analysis of the Takagi--Sugeno fuzzy model via Lyapunov method is discussed in this paper....
Stability analysis of the Takagi--Sugeno fuzzy model via Lyapunov method is discussed in this paper....
In this paper, novel stability conditions for Takagi-Sugeno (T-S) fuzzy systems are presented. The s...
In this paper, novel stability conditions for Takagi-Sugeno (T-S) fuzzy systems are presented. The s...
In this paper, novel stability conditions for Takagi-Sugeno (T-S) fuzzy systems are presented. The s...
In this paper, novel stability conditions for Takagi-Sugeno (T-S) fuzzy systems are presented. The s...
In this paper, the fuzzy Lyapunov function approach is considered for stabilizing continuous-time Ta...
In this paper, novel stability conditions for Takagi-Sugeno (T-S) fuzzy systems are presented. The s...
This paper presents a theorem based on the hyper-rectangle defined by the closed set of the time der...
This paper presents the stability analysis for continuous-time Takagi-Sugeno fuzzy systems using a f...
Thesis (M.S.)--Boston University PLEASE NOTE: Boston University Libraries did not receive an Author...
Abstract- A large class of nonlinear systems can be well approximated by Takagi-Sugeno (TS) fuzzy mo...
Stability analysis of TS fuzzy systems can be much improved by resorting to fuzzy Lyapunov functions...
This paper investigates the stability of fuzzy-model-based (FMB) control system, formed by a T-S fuz...
AbstractIn terms of the Fuzzy Lyapunov method, this work proposes stability conditions for fuzzy log...
Stability analysis of the Takagi--Sugeno fuzzy model via Lyapunov method is discussed in this paper....
Stability analysis of the Takagi--Sugeno fuzzy model via Lyapunov method is discussed in this paper....
In this paper, novel stability conditions for Takagi-Sugeno (T-S) fuzzy systems are presented. The s...
In this paper, novel stability conditions for Takagi-Sugeno (T-S) fuzzy systems are presented. The s...
In this paper, novel stability conditions for Takagi-Sugeno (T-S) fuzzy systems are presented. The s...
In this paper, novel stability conditions for Takagi-Sugeno (T-S) fuzzy systems are presented. The s...
In this paper, the fuzzy Lyapunov function approach is considered for stabilizing continuous-time Ta...
In this paper, novel stability conditions for Takagi-Sugeno (T-S) fuzzy systems are presented. The s...
This paper presents a theorem based on the hyper-rectangle defined by the closed set of the time der...
This paper presents the stability analysis for continuous-time Takagi-Sugeno fuzzy systems using a f...
Thesis (M.S.)--Boston University PLEASE NOTE: Boston University Libraries did not receive an Author...
Abstract- A large class of nonlinear systems can be well approximated by Takagi-Sugeno (TS) fuzzy mo...
Stability analysis of TS fuzzy systems can be much improved by resorting to fuzzy Lyapunov functions...
This paper investigates the stability of fuzzy-model-based (FMB) control system, formed by a T-S fuz...
AbstractIn terms of the Fuzzy Lyapunov method, this work proposes stability conditions for fuzzy log...