This paper focuses on the observer-based passive fuzzy controller design problem for uncertain Takagi-Sugeno (T-S) fuzzy models with time-delay and multiplicative noise. For stability analysis and synthesis, the sufficient conditions are derived via Lyapunov-krasovskii function and Itô’s formula in terms of Linear Matrix Inequalities (LMIs). In addition, the passivity theory is employed to disc...

Considering some unmeasurable states, a fuzzy static output control problem of nonlinear stochastic systems is discussed in this paper. Based on modelling approach, Takagi–Sugeno (T–S) system, constructed by family differential equations and membership functions, applied to represent systems. Parallel distributed compensation (PDC) technology used construct the controller. A line-integral Lyapu...

This article proposes a design method for producing H control performance for structural systems using the Tagagi-Sugeno (T-S) fuzzy model. A structural system with a tuned mass damper is modeled using a T-S type fuzzy model. Using the parallel distributed compensation (PDC) scheme, we design a nonlinear fuzzy controller for the tuned mass damper system. A sufficient stability condition for the...

Nowadays for solving fault diagnosis, fault isolation, and control problems a possible solution can be the use of modelbased approaches, which contain a representation of our knowledge about the fault-free and faulty systems. If the nature and/or the actual circumstances of the problem in hand change the corresponding model should also be changed. Anytime techniques are very flexible in this re...

The aim is to develop simple for industrial use neuro-fuzzy (NF) predictive controllers (NFPCs) that improve the system performance and stability compensating the nonlinear plant inertia and time delay. A NF plant predictor is trained from real time plant control data and validated to supply a main model-free fuzzy logic controller with predicted plant information. A proper prediction horizon i...

This paper presents improved relaxed stabilization conditions and design procedures of state observer based controllers for continuous nonlinear systems in T-S model representation. First, the T-S model approach for nonlinear systems and some stabilization results are recalled. New stabilization conditions are obtained by relaxing those derived in previous works in this field. The asymptotic an...

This paper studies the guaranteed cost control issues for the large-scale systems which are composed of Takagi-Sugeno (T-S) fuzzy subsystems with interconnections. A cost function is considered as the performance index for the system. By Lyapunov stability criterion and the parallel distributed compensation (PDC), some sufficient conditions are derived such that the large-scale fuzzy system is ...

This paper investigates the nano-positioning control for a piezoelectric actuator system with states time-delay via multiple Lyapunov functions. The multiple Lyapunov functions can relax stabilization conditions derived by the traditional single Lyapunov function. First, the Bouc-Wen equation establishes the mathematical model of a piezoelectric actuator system. To reduce the nonlinear hysteres...

This paper presents a state-space approach for the robustness synthesis of T-S(Takagi-Sugeno) model with uncertainty. Two problems, robust stability and robust performance, are treated in the same framework. Suucient conditions are given on the robustness of T-S systems subject to L 2 norm-bounded structured uncertainty. Based on these conditions, feedback controller synthesis procedures are pr...

In this pape, a class of nonlinear time-delay systems based on the Takagi-Sugeno (T-S)fuzzy model is defined. We investigate the delay-independent stability of this model. A model-based fuzzy stabilization design utilizing the concept of the so-called “parallel distributed compensation” (PDC) is employed. The main idea of the controller design is to derive each control rule to compensate each r...