Nonlinear systems modeling based on self-organizing fuzzy-neural-network with adaptive computation algorithm

H Han, XL Wu, JF Qiao - IEEE transactions on cybernetics, 2013 - ieeexplore.ieee.org
In this paper, a self-organizing fuzzy-neural-network with adaptive computation algorithm
(SOFNN-ACA) is proposed for modeling a class of nonlinear systems. This SOFNN-ACA is …

A New Design of Robust Sliding Mode Control for Uncertain Stochastic TS Fuzzy Time-Delay Systems

Q Gao, G Feng, Z Xi, Y Wang… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
In this paper, a novel dynamic sliding mode control scheme is proposed for a class of
uncertain stochastic nonlinear time-delay systems represented by Takagi-Sugeno fuzzy …

Universal fuzzy integral sliding-mode controllers based on T–S fuzzy models

Q Gao, L Liu, G Feng, Y Wang… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
This paper addresses the universal fuzzy integral sliding-mode controllers' problem for
continuous-time multi-input multi-output nonlinear systems based on Takagi-Sugeno (TS) …

SOS Based Robust Fuzzy Dynamic Output Feedback Control of Nonlinear Networked Control Systems

S Chae, SK Nguang - IEEE Transactions on Cybernetics, 2013 - ieeexplore.ieee.org
In this paper, a methodology for designing a fuzzy dynamic output feedback controller for
discrete-time nonlinear networked control systems is presented where the nonlinear plant is …

Swarm optimization tuned fuzzy sliding mode control design for a class of nonlinear systems in presence of uncertainties

MH Khooban, MR Soltanpour - Journal of Intelligent & Fuzzy …, 2013 - content.iospress.com
This paper provides an optimal controlling approach for a class of nonlinear systems with
structured and unstructured uncertainties using fuzzy sliding mode control. First known …

Guaranteed cost sampled‐data fuzzy control for non‐linear systems: a continuous‐time Lyapunov approach

GB Koo, JB Park, YH Joo - IET Control Theory & Applications, 2013 - Wiley Online Library
This study presents a stability condition for a guaranteed cost sampled‐data fuzzy control
problem of non‐linear systems. A Takagi–Sugeno (T–S) fuzzy model is adopted for the non …

A SOS based alternative to LMI approaches for non-quadratic stabilization of continuous-time Takagi-Sugeno fuzzy systems

CC Duong, K Guelton… - 2013 IEEE International …, 2013 - ieeexplore.ieee.org
Nowadays, when dealing with non-quadratic controllers design for continuous-time Takagi-
Sugeno (TS) models, LMIs-based successive conditions become more and more complex …

Filter design for discrete-time singularly perturbed T–S fuzzy systems

T Peng, C Han, Y Xiong, L Wu, B Pang - Journal of the Franklin Institute, 2013 - Elsevier
This paper investigates the H∞ filtering problem for a class of nonlinear discrete-time
singular systems described by Takagi–Sugeno (T–S) fuzzy singular model with time-delay …

无人机全包线模糊TS 建模

刘智, 王勇 - 北京航空航天大学学报, 2013 - cqvip.com
针对无人机大包线一体化飞行控制要求, 提出全包线模糊T—s (Takagi—Suge—no) 建模方法.
该方法根据非仿射系统的局部线性化原理, 将模糊T—S 建模转化为仅对模糊规则中隶属度函数 …

Hankel norm model approximation of Takagi–Sugeno fuzzy time-delay systems

T Peng, X Yang, C Wu, L Wu, B Pang - Journal of the Franklin Institute, 2013 - Elsevier
This paper is concerned with the Hankel norm model approximation for discrete-time Takagi–
Sugeno (T–S) fuzzy systems with time delay. For a given stable T–S fuzzy system, our …