[PDF] Top 20 Fuzzy Control Design for Nonlinear Multiple Time-Delay Systems
Has 10000 "Fuzzy Control Design for Nonlinear Multiple Time-Delay Systems" found on our website. Below are the top 20 most common "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
T-S fuzzy controllers for Nonlinear interconnected systems with multiple time delays
... Terms—Fuzzy control, modeling error, multiple time delay, Takagi–Sugeno (T-S) fuzzy ...HE control methods so far have been broadly classified into passive control ... See full document
11
Robust sliding control for mismatched uncertain fuzzy time-delay systems using linear matrix inequality approach
... sliding control design method for a mismatched uncertain T–S fuzzy delay- time model with parameter uncertainties and external ...condition for the existence of the ... See full document
10
Robust self-tuning fuzzy tracker design of time-varying nonlinear systems
... code:961 Systems Science - ...731.1 Control Systems - ...Radio Systems and Equipment - 723 Computer Software, Data Handling and Applications - ...Television Systems and ... See full document
2
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
Neural-network-based optimal fuzzy controller design for nonlinear systems
... closed-loop systems. 4. Conclusions A neural-learning-based fuzzy inference network, which emphasizes physical system input- and state- dependence consequences in each fuzzy rule, is proposed to ... See full document
26
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 ... See full document
11
Observer-based direct adaptive fuzzy-neural control for nonaffine nonlinear systems
... adaptive fuzzy-neural control scheme is presented for nonaffine nonlinear systems in the presence of unknown structure of ...To design the output feedback control law, no ... See full document
9
Discrete-time quasi-sliding-mode control for a class of nonlinear control systems
... Numerical simulations are given in Figs. 1 and 2. Among these, three different control laws are adopted. Two of them are the QSM controller (5) (labelled by QSMC1) and the modified QSM controller (6) (labelled by ... See full document
2
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- ...feedback control term. We derive LMI ... See full document
10
Fuzzy Controllers for Nonlinear Systems via T-S Fuzzy Models
... 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 nonlinear ...by fuzzy IF-THEN rules and it ... See full document
8
Hybrid compensation control for affine TSK fuzzy control systems
... TSK fuzzy model as a linear system subject to a class of nonlinear uncertainties and claimed that the computational cost of checking such a stability criterion is less than that of finding a common Lyapunov ... See full document
9
T-S Model-Based SMC Reliable Design for a Class of Nonlinear Control Systems
... Reliable Design for a Class of Nonlinear Control Systems Yew-Wen Liang, Member, IEEE, Sheng-Dong Xu, Student Member, IEEE, and Li-Wei Ting Abstract—This paper studies the robust ... See full document
10
FIR fuzzy equalizer design for nonlinear channels LMI-based fuzzy approach
... Recently, fuzzy techniques have been applied in various fields such as control systems, communication systems, sig- nal processing, and so ...various fuzzy modeling themes, ... See full document
4
Sliding-mode-based direct adaptive fuzzy controller design for a class of uncertain multivariable nonlinear systems
... the switching hyperplane with on-line f i. Secondly, the hitting control is appended to assure that the proposed FSMC can result in a closed-loop system that is stable for [r] ... See full document
6
Robust digital design of continuous-time nonlinear control systems using adaptive prediction and random-local-optimal NARMAX model
... prediction control converges very quickly, works highly effectively, and ...works for nonlinear delayed plants with ...feed-forward control scheme is partitioned into two stages that can be ... See full document
31
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 ... See full document
15
Output-feedback control of nonlinear systems using direct adaptive fuzzy-neural controller
... a nonlinear system into a linear one, so that linear control techniques can be employed to acquire desired ...and fuzzy systems are applied to several control problems with satisfac- ... See full document
18
Design of a new fuzzy suction controller using fuzzy modeling for nonlinear boundary layer
... Automatic Control Research Program, National Science Council, and serving as an Advisor of Ministry of Education, Taiwan, and nu- merous consulting ...Committee for many IEEE sponsored international ... See full document
12
H-infinity tracking-based sliding mode control for uncertain nonlinear systems via an adaptive fuzzy-neural approach
... uncertain nonlinear system having the same model as (21), where the uncertain nonlinear func- tion and external disturbance are and , ...same design parameters ( or ) as Case 1 in Example 1 are taken ... See full document
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