"Takagi-Sugeno Fuzzy Systems Non-fragile H-infinity Filtering" investigates the problem of non-fragile H-infinity filter design for T-S fuzzy systems. The nonlinear plant is represented by a T-S fuzzy model. Given a T-S fuzzy system, the objective of this book is to design an H-infinity...
The time-delay feedback controller is a simple sinusoidal function of the system's delay states, which has arbitrarily small amplitude. This approach is mathematically proven correct for rigorous generation of chaos from continuous-time TS fuzzy systems, where the generated chaos fulfills the ...
In the present paper we construct a higher order Takagi-Sugeno fuzzy system that approximates a Mamdani fuzzy system, with arbitrary accuracy. The goal of this construction is to reduce the computational complexity of a fuzzy systems considered, also to replace a nonlinear operator by an approximat...
The dissipative stability analysis of Takagi–Sugeno fuzzy system (TSFS) is the focus of this paper via taking the effects of both delays and packet dropouts. The novel augmented Lyapunov–Krasovskii functional (LKF) is proposed via utilizing the delay-dependent matrix, which provides the information...
5) Takagi-Sugeno fuzzy system Takagi-Sugeno模糊系统6) Takagi-Sugeno (T-S) fuzzy model Takagi-Sugeno(T-S)模糊模型补充资料:Ta 钽的元素符号 原子序数: 73 相对原子质量:(12c = 12.0000) 发现人:1802年由ag ekeberg (瑞典,乌普萨拉)发现。 来源:主要存在于钽铁矿中,同铌共生。 用途:用于金属合金。
and quantization effects. The discrete-time nonlinear plant considered in this paper is modeled as a Takagi–Sugeno fuzzy system with plant rules. The data missing phenomenon is considered in both measurement and performance output signals due to the unreliable nature of communication links. Further,...
This paper investigates the construction of a fuzzy functional observer for nonlinear systems with time-delays, and the application of the observer to estimate the state functions of the parallel distributed compensation controller for stabilizing the system. Two types of time-delays are considered: con...
Takagi-Sugeno Fuzzy System to Predict Discharge Ignition Probability in the Foreline Pressure Range Takagi-Sugeno Fuzzy System to Predict Discharge Ignition Probability in the Foreline Pressure Rangematerialspulsed electron beamsurface modificationfuzzy systems... H Llya,M Alexandr,S Konstantin - ...
This paper adresses the stabilization problem of uncertain T-S fuzzy models using switching control. The T-S fuzzy model is de- scribed by a set of uncertain linear systems where the local system un- certainty depends on the fulfillment degree of the corresponding rule. An optimization procedure...
This research aims to analyze the behavior of a Takagi–Sugeno (T–S) fuzzy system (TSFS) while considering both variable delays and packet dropo