In this paper, optimal control for stochastic linear singular Takagi-Sugeno (T-S) fuzzy system with quadratic performance is obtained using ant colony programming (ACP). To obtain the optimal control, the solution of matrix Riccati differential equation (MRDE) is computed by solving differential algebraic equation (DAE) using ACP approach. The solution of this novel method is compared with the ...

Based on the Takagi-Sugeno (T-S) fuzzy model approach, this study discusses robust fault-tolerant tracking controller design for non-linear systems affected by external disturbances, uncertainties, and actuator failures. In contrast to existing results, assumes fault includes linear nonlinear terms, a state feedback is designed improve stability of system when actuators fail. Using non-quadrati...

Analysis and observer design for nonlinear systems have long been investigated, but no generally applicable methods exist as yet. A large class of nonlinear systems can be well approximated by Takagi-Sugeno fuzzy models, for which methods and algorithms have been developed to analyze their stability and to design observers. However, results obtained for Takagi-Sugeno fuzzy models are in general...

This paper investigates the problem of analysis of a Takagi-Sugeno (T-S) fuzzy control system in the frequency domain. First, a linear plant with a T-S fuzzy controller is considered, and the complex dynamic behaviors of the system generated by the nonlinearity in the controller are analyzed. The global stability, instability and existence of limit cycles of the system are predicted with the ai...

In this paper, an approach for the tuning of a model-based non-linear predictive control (NMPC) is presented. The proposed uses pattern search optimization algorithm (PSM), which applied to pH in alkalinization process sugar juice. First, model identification made using Takagi Sugeno T-S fuzzy inference systems with multidimensional sets; next step controller parameters tuning. PSM used both ca...

This study investigates H∞ finite-time synchronization (HFTS) problems for a general class of chaotic systems with external disturbances. The HFTS includes two control objectives; one is the finite-time synchronization and the other is the H∞ minimization. Here, the finite-time synchronization means the finite-time stabilization of the error system between the master and slave chaotic systems, ...

This thesis deals with the analysis and design of robust fuzzy controllers for uncertain nonlinear systems using Takagi-Sugeno (T-S) model based approach. A T-S fuzzy model is used here to approximate the uncertain nonlinear systems where the nominal model and uncertain terms of the consequent parts of the fuzzy model are identified by a linear programming approach and then they are expressed i...

This paper outlines two contributions to stability analysis of fuzzy systems: knowledge of the membership function shape (actually, constraints on the membership function values) and polynomial approaches. Both ideas reduce the conservativeness in the stability analysis of a nonlinear system when expressed as a fuzzy model by using membership shape information and by allowing a more general cla...

Fuzzy-Systeme sind im Allgemeinen statische Systeme. Des Weiteren lassen sich aber auch dynamische Systeme direkt durch Fuzzy-Funktionen und Regeln beschreiben. Ihre Dynamik ist dabei inhärent und wird nicht durch das Gewichten von dynamischen Modellen wie im Falle von Takagi–Sugeno–Kang-Systemen erreicht, sondern durch direkte Rückführung der Ausgangsgrößen eines Fuzzy-Systems. In diesem Beitr...

In this paper, optimal control for stochastic linear quadratic singular neuro Takagi–Sugeno (T-S) fuzzy system with singular cost is obtained using genetic programming(GP). To obtain the optimal control, the solution of matrix Riccati differential equation (MRDE) is computed by solving differential algebraic equation (DAE) using a novel and nontraditional GP approach. The obtained solution in t...