T-S Fuzzy system
Delay-Dependent Control and Stability Analysis for T–S Fuzzy Systems with a Sensor Delay
... Complex nonlinear systems can be represented by a Takagi-Sugeno (T-S) fuzzy system, effectively [1]. There have appeared some stability analysis and controller design of T-S ...
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Modeling of Stripper Temperature based on Improved T-S Fuzzy Neural Network
... that T-S fuzzy model is essentially a nonlinear methodology, which could approximate any nonlinear system precisely, and is able to identify the process with high modeling ...and fuzzy ...
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Robust Stability Analysis for T S Fuzzy Neural Networks with Time varying Delays
... There has been a large amount of literature that studies the stability properties of linear time delay systems. Some fundamental results on these topics have been published in the literature [1-16] and the reference ...
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Maximum Power Point Tracking for Photovoltaic Panel based on T S Fuzzy Systems
... photovoltaic system has a highly nonlinear current-voltage ...type fuzzy logic controllers (FLC) have also been investigated ...type fuzzy system has been used to model the PV array ...Sugeno ...
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Adaptive fault estimation for T S fuzzy systems with unmeasurable premise variables
... that T-S fuzzy models are capable of approximating nonlinear behaviors of smooth systems, which is achieved by blending a set of local linear models through nonlinear membership functions ...of ...
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PDC Control of Time Delay Fuzzy T-S modeled HIV-1 System through Drug Dosage
... a fuzzy T-S model out of the novel nonlinear model; and d)to design a fuzzy T-S controller for the ...the T-S fuzzy system with ...stabilizing ...
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Robust Fuzzy Control of Inverter Pendulum Robot via Time-Delay Affine T-S Fuzzy Models
... (T–S) fuzzy system models [2–9]. The affine T–S fuzzy system means the fuzzy system of which consequent part is affined and which has a constant bias ...
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Delay-dependent Robust H∞ Control for T-S Fuzzy Descriptor Networked Control System with Multiple State Delays
... a fuzzy model in the descriptor form is introduced, and stability and stabilization problems for the system are ...of fuzzy descriptor systems ...employ fuzzy descriptor model in NCS systems ...
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A New Approach to Stabilization of Continuous- Time T-S Fuzzy Control Systems via Fuzzy Lyapunov Function
... drives system from the same university, Newcastle University, Newcastle upon Tyne, United ...Drives System, System Identification and Estimation,Optimisation and Intelligent ...
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Fault detection for switched T S fuzzy systems in finite frequency domain
... switched T-S fuzzy systems with actuator faults. The system faults and unknown disturbances are considered to be in a finite frequency ...and S-procedure, a new finite frequency method of ...
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Approach to Fuzzy Controller Design of an Inverted Pendulum Controlled by a DC Motor
... nonlinear system is modelled by T-S fuzzy model using the concept of sector nonlinearity and parameter uncertainty is added in the system then a fuzzy controller is design using ...
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Reliability Analysis of Automatic Transmission Based on T S Fuzzy Fault Tree
... the T-S model and fuzzy theory and the revision of the confidence index are pro- ...The T-S model is introduced into the typical fault analysis, using the fuzzy possibility to ...
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Global Exponential Stabilization for Some Impulsive T-S Fuzzy Systems with Uncertainties
... with fuzzy control. A lot of such systems are described by T-S models and can be mathematically formalized as a locally-linear system of d- ifferential ...The T-S fuzzy ...
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Robust Fuzzy Gain-Scheduled Control of the 3-Phase IPMSM
... a fuzzy robust Mixed - Sensitivity Gain - Scheduled H ∞ controller based on the Loop - Shaping methodology for a class of MIMO uncertain nonlinear Time - Varying ...- S) fuzzy ...overall ...
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Takagi-Sugeno Fuzzy Control for Nonlinear Systems
... nonlinear system is represented as the fuzzy average of local linear models which are popularly known as Takagi-Sugeno (T-S) Fuzzy ...nonlinear system in terms of a ...
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Research on the pH Neutralization Process Based on the T-S Fuzzy Model
... Mcavoyt T J proposes the mathematical model of pH neutralization process ...the system [5]. Nie J H adopts a simplified fuzzy model as an approximate reasoner to deduce the model output on the basis ...
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Research of Multiple Sensors Adaptive Fault-Tolerant Control Based on T-S Fuzzy Model for EMB System
... of system and the reference trajectory match ...EMB system can get satisfy output when sensor faults ...the system errors to some extent, so as to achieve the purpose of improving the robustness of ...
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[14] . The T-S fuzzy model consists of
... of fuzzy data, but also can be used in crisp ...automatic T-S fuzzy ...nonlinear system when the observations of response are fuzzy ...
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Full Text ()
... T-S Fuzzy scheme is also deployed to control NWBR. Whenever T-S fuzzy model of NWBR was available, Parallel Distributed Compensation (PDC) technique [26] could be adapted ...
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Observer design for a class of T S fuzzy singular systems
... power system, electronic network, chemistry, biology, economy, and other fields [–] at present; the study of the singular system is still an area of control theory research of great interest at home and ...
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