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[PDF] Top 20 Nonlinear input mapping in fuzzy control systems

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Nonlinear input mapping in fuzzy control systems

Nonlinear input mapping in fuzzy control systems

... If different menibership functions could deduce different performance, using nonlinear mapping properly, we can get suitable membership function to achieve better perfo[r] ... See full document

5

Fuzzy Control Design for Nonlinear Multiple Time-Delay Systems

Fuzzy Control Design for Nonlinear Multiple Time-Delay Systems

... feedback control is designed for each local linear ...overall fuzzy controller, which is nonlinear in general, is a fuzzy blending of each individual linear controller [5, ...T-S ... See full document

12

Adaptive Fuzzy CMAC Control for a Class of Nonlinear Systems with Smooth Compensation

Adaptive Fuzzy CMAC Control for a Class of Nonlinear Systems with Smooth Compensation

... Adaptive fuzzy CMAC control for a class of nonlinear systems with smooth compensation ...Adaptive fuzzy cerebellar model articulation controller (CMAC) schemes are proposed to solve the ... See full document

11

Observer-based direct adaptive fuzzy-neural control for nonaffine nonlinear systems

Observer-based direct adaptive fuzzy-neural control for nonaffine nonlinear systems

... ONCLUSION In this paper, an observer-based direct adaptive fuzzy-neural control scheme is presented for nonaffine nonlinear systems in the presence of unknown structure of ... See full document

9

LMI-based robust sliding control for mismatched uncertain nonlinear systems using fuzzy models

LMI-based robust sliding control for mismatched uncertain nonlinear systems using fuzzy models

... sliding control design method for the mis- matched uncertain T–S fuzzy model with parameter uncertainties and norm-bounded external dis- ...matrix in terms of the solution of the LMI existence ...the ... See full document

10

Output-feedback control of nonlinear systems using direct adaptive fuzzy-neural controller

Output-feedback control of nonlinear systems using direct adaptive fuzzy-neural controller

... Abstract In this paper, a direct adaptive fuzzy-neural output-feedback controller (DAFOC) for a class of uncertain nonlinear systems is developed under the constraint that only the system ... See full document

18

Robust discrete-time fuzzy control of composite nonlinear systems by tuning consequent membership functions

Robust discrete-time fuzzy control of composite nonlinear systems by tuning consequent membership functions

... Recently, increasing emphasis has been put on the issues of stability, robustness, and convergence performance of the fuzzy control systems [3]. Using Lyapunov-based[r] ... See full document

5

Robust adaptive sliding mode control using fuzzy modelling for aclass of uncertain MIMO nonlinear systems

Robust adaptive sliding mode control using fuzzy modelling for aclass of uncertain MIMO nonlinear systems

... nominal designs based on an online approximation of the unknown nonlinear functions of the plant. The fine-tuning mechanism is designed to encounter the equivalent uncer- t[r] ... See full document

9

A novel adaptive fuzzy variable structure control for a class of nonlinear uncertain systems via backstepping

A novel adaptive fuzzy variable structure control for a class of nonlinear uncertain systems via backstepping

... Given such smooth B-spline- type membership functions, the proposed adaptive fuzzy variable structure controller with a dedicated structure can adaptively compensate for the syst[r] ... See full document

6

Direct adaptive iterative learning control of nonlinear systems using an output-recurrent fuzzy neural network

Direct adaptive iterative learning control of nonlinear systems using an output-recurrent fuzzy neural network

... output-recurrent fuzzy neural net- work (ORFNN) is presented for a class of repeatable nonlinear sys- tems with unknown nonlinearities and variable initial resetting er- ...rors. In order to overcome ... See full document

12

Fuzzy Controllers for Nonlinear Systems via T-S Fuzzy Models

Fuzzy Controllers for Nonlinear Systems via T-S Fuzzy Models

... + In a little more than a decade ago, a fuzzy dynamical model had been developed primarily from the pioneering work of Takagi and Sugeno [16] to represent local linear input/output relations of ... See full document

8

H∞ control for nonlinear descriptor systems

H∞ control for nonlinear descriptor systems

... given in terms of the existence of nonnegative solutions to two Hamilton–Jacobi inequal- ities, together with a weak coupling ...published in [1] for (W -)input affine nonlinear systems ... See full document

7

Hybrid compensation control for affine TSK fuzzy control systems

Hybrid compensation control for affine TSK fuzzy control systems

... sign in all rules that implies . In most of existing approaches, is always ...that in a transition instant, the input can hardly change the system ...states. In other words, the system ... See full document

9

A neural network approach of input-output linearization of affine nonlinear systems

A neural network approach of input-output linearization of affine nonlinear systems

... Feedback linearization based on concepts from differential geometry [2,6,9] can be adopted as a design methodology of nonlinear control systems. Using nonlinear coor[r] ... See full document

5

H-infinity tracking-based sliding mode control for uncertain nonlinear systems via an adaptive fuzzy-neural approach

H-infinity tracking-based sliding mode control for uncertain nonlinear systems via an adaptive fuzzy-neural approach

... and in 1978, Professor and Chairman of the Department of Control Engineering, ...NCTU. In 1981, he became Professor and Director of the Institute of Control En- gineering, ...NCTU. In ... See full document

10

Adaptive hybrid intelligent control for uncertain nonlinear dynamical systems

Adaptive hybrid intelligent control for uncertain nonlinear dynamical systems

... Intelligent Control for Uncertain Nonlinear Dynamical Systems Chi-Hsu Wang, Senior Member, IEEE, Tsung-Chih Lin, Tsu-Tian Lee, Fellow, IEEE, and Han-Leih Liu Abstract—A new hybrid direct/indirect ... See full document

15

Observer-based indirect adaptive fuzzy-neural tracking control for nonlinear SISO systems using VSS and H-infinity approaches

Observer-based indirect adaptive fuzzy-neural tracking control for nonlinear SISO systems using VSS and H-infinity approaches

... and Control Engineering, Chiao-Tung University, Hsinchu, Taiwan Received 21 November 2001; received in revised form 18 February 2003; accepted 8 April 2003 Abstract Fuzzy control is a model ... See full document

22

A new design of adaptive robust fuzzy controller for nonlinear systems

A new design of adaptive robust fuzzy controller for nonlinear systems

... Thus, a control synthesis is proposed here, which combines the adaptive fuzzy control approach and a robust control approach to generate the final adaptive robust fuzzy c[r] ... See full document

5

Wavelet adaptive backstepping control for a class of nonlinear systems

Wavelet adaptive backstepping control for a class of nonlinear systems

... network-based control technique has represented an alternative method to solve control problems ...or nonlinear mapping through ...of control system dynamics or controllers. The basic ... See full document

9

The Absolute Stability Analysis in Fuzzy Control Systems with Parametric Uncertainties and Reference Inputs

The Absolute Stability Analysis in Fuzzy Control Systems with Parametric Uncertainties and Reference Inputs

... stability in P and PD type fuzzy logic control systems with both certain and uncertain linear ...reference input, actuator gain and interval plant ...error) in P and PD types is ... See full document

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