نتایج جستجو برای: Robust fuzzy control

تعداد نتایج: 1573019  

Journal: :the modares journal of electrical engineering 2015
hossein kargar jafar zarei

in this study, a robust controller is designed for fuzzy network control systems (ncss) using the static output feedback. delay and data packet dropout affect on the stability of network control systems, and therefore, the asymptotic stability condition is established considering delay and data packet dropout. delay is time-varying while the lower and upper bounds for delay is defined, and the ...

Journal: :iranian journal of fuzzy systems 0
jiaxian wang school of mathematics and statistics, xidian university, xi'an, 710071, china junmin li school of mathematics and statistics, xidian university, xi'an, 710071, china

in this paper, a new t-s fuzzy hyperbolic delay model for a class of nonlinear systems with time-varying delay, is presented to address the problems of stability analysis and feedback control. fuzzy controller is designed based on the parallel distributed compensation (pdc), and with a new lyapunov function, delay dependent asymptotic stability conditions of the closed-loop system are derived v...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه ارومیه 1377

fuzzy logic has been developed over the past three decades into a widely applied techinque in classification and control engineering. today fuzzy logic control is one of the most important applications of fuzzy set theory and specially fuzzy logic. there are two general approachs for using of fuzzy control, software and hardware. integrated circuits as a solution for hardware realization are us...

Journal: :journal of ai and data mining 2015
m. m. fateh s. azargoshasb

this paper presents a discrete-time robust control for electrically driven robot manipulators in the task space. a novel discrete-time model-free control law is proposed by employing an adaptive fuzzy estimator for the compensation of the uncertainty including model uncertainty, external disturbances and discretization error. parameters of the fuzzy estimator are adapted to minimize the estimat...

This paper presents a discrete-time robust control for electrically driven robot manipulators in the task space. A novel discrete-time model-free control law is proposed by employing an adaptive fuzzy estimator for the compensation of the uncertainty including model uncertainty, external disturbances and discretization error. Parameters of the fuzzy estimator are adapted to minimize the estimat...

Journal: :IEEE Trans. Fuzzy Systems 1999
Stephen Paul Linder Bahram Shafai

-Robust control has long been the purview of quantitative linear control techniques, while qualitative, symbolic control has been deemed more suitable to obtaining complex control objectives that require only low output precision. The intelligent techniques of Fuzzy control have, however, shown promise in obtaining results comparable to those obtained from H∞ and H2 robust control techniques. O...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه فردوسی مشهد - دانشکده مهندسی 1389

abstract type-ii fuzzy logic has shown its superiority over traditional fuzzy logic when dealing with uncertainty. type-ii fuzzy logic controllers are however newer and more promising approaches that have been recently applied to various fields due to their significant contribution especially when the noise (as an important instance of uncertainty) emerges. during the design of type- i fuz...

Journal: :Fuzzy Sets and Systems 2007
Bing Chen Xiaoping Liu Shaocheng Tong

This paper focuses on the problem of robust control for Takagi–Sugeno (T–S) fuzzy systemswith time-delay. The delay-dependent stability analysis and controller synthesis have been addressed. The free weighting matrix method has been used for stability analysis and controller synthesis. New and less conservative delay-dependent stability conditions are proposed in terms of linear matrix inequali...

Journal: :Journal of Intelligent and Robotic Systems 2010
Kashif Ishaque Shahrum Shah bin Abdullah Shahrin Md. Ayob Zainal Salam

In this paper the investigation of Adaptive Single Input Fuzzy Logic Controller (ASIFLC) as robust control of an Unmanned Underwater Vehicle (UUV). Robust control methods are designed to function properly with a present of uncertain parameters or disturbances. Robust control methods aim to achieve robust performance and stability in the presence of bounded modeling errors. The UUV applied in th...

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