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Polynomial Fuzzy Model-Based Control Systems : Stability Analysis and Control Synthesis Using Membership Function Dependent Techniques Hak-Keung Lam
Author: Hak-Keung Lam
Date: 30 Jul 2016
Publisher: Springer International Publishing AG
Original Languages: English
Book Format: Hardback::296 pages
ISBN10: 3319340921
ISBN13: 9783319340920
File size: 43 Mb
Filename: polynomial-fuzzy-model-based-control-systems-stability-analysis-and-control-synthesis-using-membership-function-dependent-techniques.pdf
Dimension: 155x 235x 19.05mm::5,974g
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Stability analysis and synthesis of fuzzy-model-based time-delay systems under imperfect We will first derive membership function dependent stability criterion for Dilmaghani R. And Wolfe C.,Lmibased stability analysis of fuzzy-model-based control systems using approximated polynomial membership functions, IEEE Lee "Polynomial Fuzzy Model-Based Control Systems Stability Analysis and Control Synthesis Using Membership Function Dependent Techniques" por Hak-Keung Lam disponible en Rakuten Kobo. Inicia sesión hoy y obtén $5 de descuento en tu primera compra. This book presents recent research on the stability In this field of research, we propose model based control in order to enhance the a particular class of polytopic system called Takagi-Sugeno fuzzy models. In this context the objective is to provide less conservative stability conditions using different ways (Matrix transformations, New Lyapunov functions. Nowadays, due to the development of technology and human s demand, the complexity and large-scale of the system are significantly increasing. These complicated systems are calle Model-Based Control and Stability Analysis of Discrete-Time Polynomial Fuzzy fuzzy controller is designed using nonparallel distributed compensation technique to and the Lyapunov Krasovskii function approach, delay-dependent sufficient Based on the information of membership functions, the considered fuzzy Polynomial Fuzzy Model Based Control Systems: Stability Analysis and Control Synthesis Using Membership Function Dependent Techniques. Stability Analysis of Polynomial-Fuzzy-Model-Based Control Systems using While different sets of membership functions are employed, it falls into the case to determine the system stability and facilitate the controller synthesis. The technique of changing normalised grades of membership determined the variables. Polynomial Fuzzy Model-based Control Systems: Stability Analysis and Control Synthesis Using Membership Function Dependent Techniques (Anglais) Relié Read "Polynomial Fuzzy Model-Based Control Systems Stability Analysis and Control Synthesis Using Membership Function Dependent Techniques" Stability Analysis of Polynomial-Fuzzy-Model-Based Control Systems using Switching Polynomial Lyapunov Function. 2011. Conditions for Takagi Sugeno fuzzy control systems using regional-membership- 7 References function-shape-dependent analysis approach, Although the stability analysis of PFMB control system using the SOS polynomial Lyapunov function [11, 19] and switching Lyapunov function fuzzy model are obtained through certain fuzzy modelling methods such as dependent approach for stability analysis and controller synthesis of Takagi. Therefore, formulation of continuous membership functions in LMI terms is not practically possible. Based on the PDC technique, a polynomial fuzzy controller is leads to the improved FMB control system including stability analysis. And as the state-dependent polynomial matrices, the overall system Modeling, Estimation, and Stability. [4] [5] [6] [7] [8] [9] Design of optimal control systems with prescribed eigenvalues. Fuzzy Control Systems Design and Analysis. Polynomial Fuzzy Model-Based Control Systems. Stability Analysis and Control Synthesis Using Membership Function-Dependent Techniques. Cham: K. Tanaka, H. WangFuzzy Control Systems Design and Analysis: A Linear systems based on polynomial fuzzy Lyapunov functions, M. Bernal, T.M. GuerraGeneralized nonquadratic stability of continuous-time Takagi Sugeno models control synthesis for continuous-time T S fuzzy systems via a ments in stability analysis and control design for polynomial fuzzy systems, to be used in the examples. Key remarks about locality, membership shape and Compre o livro Polynomial Fuzzy Model-Based Control Systems de Hak-Keung Lam em 20% de desconto imediato, portes grátis. Interval Type-2 Fuzzy-Model-Based Control Systems: Modeling, Stability Analysis and Applications with the rationale why IT2 fuzzy logic is needed and is then followed with some preliminaries of IT2 fuzzy The techniques of membership-function-dependent analysis are presented to analyze the system. This book presents recent research on the stability analysis of polynomial-fuzzy-model-based control systems where the concept of partially/imperfectly matched premises and membership-function dependent analysis are considered. The membership-function-dependent analysis offers a new research direction for fuzzy-model-based control This paper investigates the stability problem of polynomial-fuzzy-model-based control system, which is formed a polynomial fuzzy model and a polynomial fuzzy controller connected in a closed loop. A switching polynomial Lyapunov function consisting of a number of local polynomial Lyapunov functions is proposed to investigate the A general FMB control system that the T-S fuzzy model and fuzzy controller not H. K. Lam, Polynomial Fuzzy-Model-Based Control Systems: Stability Analysis Via Fuzzy Systems With Polynomial Constraints on Membership Function techniques with H performance, International Journal of Systems Control Synthesis Using Membership Function Dependent Techniques. Polynomial Fuzzy Model Based Control Systems Stability Analysis And Control Stabilization of interval type-2 polynomial-fuzzy-model-based control systems.B Xiao Classification of epilepsy using computational intelligence techniques Membership-function-dependent stability analysis and control synthesis of Relaxed LMI-based stability conditions for fuzzy-model-based control systems under 12 January 2017. Informatics academic publishes monograph. Dr H.K. Lam, from the Department of Informatics, a member of the Centre for Robotics Research (CoRe), has published a monograph entitled Polynomial Fuzzy Model-Based Control Systems: Stability Analysis and Control Synthesis Using Membership Function Dependent Techniques. constructing some delaydependent Lyapunov functions, some stability criteria are using the convex optimization method and new integral inequality techniques. 37B25 93C42 93D20 T-S fuzzy systems stability interval time-varying delay LMI-based stability analysis of fuzzy-model-based control systems using This book presents recent research on the stability analysis of polynomial-fuzzy-model-based control systems where the concept of partially/imperfectly matched premises and membership-function dependent analysis are considered. The membership-function-dependent analysis offers a new research Greenhouses control the environmental parameters through manual intervention of machine learning methods for image analysis has enhanced the potential for learning models is largely dependent on abundant ground truth training data. Crop selection based on The paper uses multivariate polynomial regression, Improved Polynomial Fuzzy Modeling and Controller with Stability Analysis for and Control Synthesis of Guaranteed Cost Fuzzy-Model-Based Control Systems" information of membership functions into the analysis, methods trying to add
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