Aiming at the characteristics which variable air volume air conditioning system is multi-variable, nonlinear and uncertain system, normal fuzzy neural network is hard to meet the requirements which dynamic control of multi-variable. In this paper, we put forward a recursive neural network predictive control strategy based on T-S fuzzy model. Through T-S fuzzy recursive neural network predictor ...

A new and efficient approach is presented that lead to improve the local and global approximation (matching) and modelling capability of Takagi-Sugeno (T-S) fuzzy model. The main aim is obtaining high function approximation accuracy and fast convergence. The main problem encountered is that T-S model can not be applied when the membership functions are overlapped by pairs. This restricts the ap...

For the control system of a certain type simulation test turntable (STT), a simplified model is established firstly, then the T-S fuzzy controller is designed, finally control results and stability are analyzed by simulation. Simulation results show that the T-S fuzzy controller has the advantages of the fast response and positioning, good stability, strong anti-interference. The designed T-S f...

Abstract The output feedback stabilization for discrete nonlinear systems is studied based on T-S fuzzy model in this paper. Firstly, a concept of the efficient mutual non-neighboring rule group (EMNNRG) is presented. Secondly, by using the scheme of parallel distributed compensation (PDC) and the piecewise fuzzy Lyapunov function, the stability of the closed-loop discrete T-S fuzzy control sys...

in this paper, the problems of robust stabilization and$h_{infty}$ control for uncertain stochastic systems withmultiple time delays represented by the takagi-sugeno (t-s) fuzzymodel have been studied. by constructing a new lyapunov-krasovskiifunctional (lkf) and using the bounding techniques, sufficientconditions for the delay-dependent robust stabilization and $h_{infty}$ control scheme are p...

This paper is concerned with the problems of stability analysis and stabilization control design for a class of discrete-time T-S fuzzy systems with state-delay for multi-input and multi-output. The nonlinear fuzzy controller helps to overcome the problems of the ill defined model of the systems, which are creating the undesirable performance. . Here sliding surface is being designed for error ...

Abstract. Aiming at a type of complex nonlinear dynamic systems, a T-S fuzzy control system based on niche model is proposed in this paper. The ecological environment actually occupied by the organism, and the organism’s ability to exploit and use it, is regarded as a unit of a dissipative structure-“niche”. The “costae escarole” theory of niche is used to found a general fuzzy mathematic model...

Through the comparison and analysis of some recent patents on the fault-tolerant designed method, this paper addresses the problem of robust guaranteed cost fault-tolerant for nonlinear networked control systems (NNCS) with network-induced delay and packed dropout. Firstly, we adopt observer and state-feedback control strategy, wherein states are immeasurable. Then, by constructing appropriate ...

A delay partitioning approach is introduced to solve problems of passivity and passification for continuous T-S fuzzy system with time delay. Our aim is to design a state feedback controller such that the resulting closed system is passive. By constructing a Lyapunov-Krasovskii functional, delay-dependent passivity/passification performance conditions are formulated in terms of linear matrix in...