نتایج جستجو برای: pdc fuzzy controller

تعداد نتایج: 147157  

2009
Wen-Jer Chang Wei Chang Cheung-Chieh Ku

This paper deals with the fuzzy based H∞ control problem for time-delay affine Takagi-Sugeno (T-S) fuzzy models. A class of nonlinear time-delay systems is approximated by a time-delay affine T-S fuzzy model in this paper. Based on LyapunovRazumikhin theorem and S-procedure, the stability and stabilization problems are solved by employing a Parallel Distributed Compensation (PDC) type H∞ fuzzy ...

2013
Mustapha Muhammad Salinda Buyamin Ahmad S. W. Nawawi Anita Ahmad

This paper deals with the stabilization design problem for a class of continuous-time Takagi-Sugeno (T-S) fuzzy model-based control systems. A stabilization design based on fuzzy Lyapunov function and a non-parallel distributed compensation (non-PDC) control law has been proposed. Sufficient stabilization conditions are derived. The conditions for the solvability of the state feedback controlle...

ژورنال: :مکانیک سازه ها و شاره ها 2012
مهدی سیاهی علیرضا الفی داوود نظری مریم آبادی محمدحسن خوبان

this paper introduces a novel control methodology based on fuzzy controller for a glucose-insulin regulatory system of type i diabetes patient. first, in order to incorporate knowledge about patient treatment, a fuzzy logic controller is employed for regulating the gains of the basis proportional-integral (pi) as a self-tuning controller. then, to overcome the key drawback of fuzzy logic contro...

Journal: :Inf. Sci. 2016
Chuang Liu Hak-Keung Lam Xiaojun Ban Xudong Zhao

In this paper, the stability of polynomial fuzzy-model-based (PFMB) observercontrol system is investigated via Lyapunov stability theory. The polynomial fuzzy observer with unmeasurable premise variables is designed to estimate the system states. Then the estimated system states are used for the state-feedback control of nonlinear systems. Although the consideration of the polynomial fuzzy mode...

2013
Junsheng Ren Xianku Zhang

Singular system is a natural representation of dynamical systems. Guaranteed cost fuzzy control problem for a class of nonlinear singular system is addressed. The nonlinear singular system contains time-varying and norm-bounded uncertainties simultaneously in the matrices of states, delayed states and control inputs. Nonlinear singular system is formulated in the framework of Takagi-Sugeno (T-S...

2014
Wei Chang Wen-June Wang Nai-Jen Li Hao-Gong Chou Jun-Wei Chang

This paper studies the H control problem for a nonlinear large-scale system with unknown disturbance. In the large-scale system, each subsystem “without” nonlinear interconnections and disturbance is transformed into a T-S fuzzy system. Moreover, based on a linear decomposition, the nonlinear interconnection corresponding to each subsystem is decomposed to a linear weighting interconnection wh...

2002
M. CHADLI D. MAQUIN J. RAGOT

This paper studies the design of a static output feedback controller for nonlinear systems described by continuous-time Takagi-Sugeno (T-S) models. Motivated by stability results developed for parallel distributed compensation (PDC) controller, an Output PDC (OPDC) controller that corresponds to a nonlinear static output feedback control law is proposed. Both stabilisation and poles placement a...

2009
Renming WANG Thierry Marie GUERRA Juntao PAN

This paper considers the guaranteed cost control problem for a class of uncertain discrete T-S fuzzy systems with time delay and a given quadratic cost function. Sufficient conditions for the existence of such controllers are derived based on the linear matrix inequalities (LMI) approach by constructing a specific nonquadratic Lyapunov-Krasovskii functional and a nonlinear PDC-like control law....

Journal: :journal of advances in computer research 2014
nahid ebrahimi meymand aliakbar gharaveisi

anti-lock braking system (abs) is a nonlinear and time varying system including uncertainty, so it cannot be controlled by classic methods. intelligent methods such as fuzzy controller are used in this area extensively; however traditional fuzzy controller using simple type-1 fuzzy sets may not be robust enough to overcome uncertainties. for this reason an interval type-2 fuzzy controller is de...

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