Stochastic Stability of TSK Fuzzy Model
نویسندگان
چکیده
in this paper, a theorem is derived for the existence of a common quadratic Lyapunov function for stability analysis of TSK fuzzy model. This paper proposed a new method based on stochastic stability. In this paper we study the stochastic stability properties of certain TSK Fuzzy system has been studied.
منابع مشابه
Tase Tsk Model Based Inverse Model Controller And Its Application
This paper presents a new approach of achieving inverse model control (IMC) of nonlinear plants with TaSe Takagi-Sugeno-Kang (TSK) fuzzy system. The inverse control law, designed for the control of nonlinear plant dynamics, is derived directly based on approximate model method and it is implemented using TaSe TSK fuzzy system modeling. The robust stability of the IMC is analyzed using Lyapunov ...
متن کاملRobust stability of stochastic fuzzy impulsive recurrent neural networks with\ time-varying delays
In this paper, global robust stability of stochastic impulsive recurrent neural networks with time-varyingdelays which are represented by the Takagi-Sugeno (T-S) fuzzy models is considered. A novel Linear Matrix Inequality (LMI)-based stability criterion is obtained by using Lyapunov functional theory to guarantee the asymptotic stability of uncertain fuzzy stochastic impulsive recurrent neural...
متن کاملFuzzy Internal Model Control of Nonlinear Plants with Time Delay based on Parallel Distributed Compensation
The parallel-distributed compensation (PDC) together with Takagi-Sugeno-Kang (TSK) fuzzy modelling proved to be a modern model-based systematic approach for the design of fuzzy nonlinear controllers from stability and robustness requirements. The usual local linear controllers comprise a state feedback. This requires measurements of the state variables or an observer design. The aim of the pres...
متن کاملSensitivity Analysis for Type-1 and Type-2 Tsk Fuzzy Models
In this paper, subtractive clustering method is combined with least squares estimation algorithms to pre-identify a type-1 Takagi-Sugeno-Kang (TSK) fuzzy model from input/output data. Then the type-2 fuzzy theory is used to expand the type-1 model to a type-2 model. A sensitivity analysis is used to ascertain how a type-1 TSK model output depends upon the pre-initialized parameters and determin...
متن کاملOn-line Adaptive Interval Type-2 Fuzzy Controller Design via Stable SPSA Learning Mechanism
This paper proposes an interval type-2 Takagi-Sugeno-Kang fuzzy neural system (IT2TFNS) to develop an on-line adaptive controller using stable simultaneous perturbation stochastic approximation (SPSA) algorithm. The proposed IT2TFNS realizes an interval type-2 TSK fuzzy logic system formed by the neural network structure. Differ from the most of interval type-2 fuzzy systems, the type-reduction...
متن کامل