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Book Cover
E-book
Author Mohammadzadeh, Ardashir

Title Modern adaptive fuzzy control systems / Ardashir Mohammadzadeh, Mohammad Hosein Sabzalian, Chunwei Zhang, Oscar Castillo, Rathinasamy Sakthivel, Fayez F. M. El-Sousy
Published Cham : Springer, [2023]

Copies

Description 1 online resource (161 p.)
Series Studies in Fuzziness and Soft Computing ; v.421
Studies in fuzziness and soft computing ; v. 421.
Contents Intro -- Preface -- Contents -- 1 An Introduction to Fuzzy and Fuzzy Control Systems -- 1.1 Historical Background -- 1.2 What is Adaptive Fuzzy Control? -- 1.3 Why Adaptive Fuzzy Control? -- 1.4 Problems in Adaptive Fuzzy Controller -- References -- 2 Classification of Adaptive Fuzzy Controllers -- 2.1 Direct Adaptive Fuzzy Controller -- 2.2 Indirect Adaptive Fuzzy Controller -- 2.3 Integrating Adaptive Fuzzy Controller with Other Controllers -- 2.3.1 Integrating Direct and Indirect Adaptive Controllers
2.3.2 Integrating Hybrid Fuzzy Controller with Other Controllers to Compensate for Estimation Error -- 2.3.3 Integrating Hybrid Fuzzy Controller with Output Feedback Controller -- 2.3.4 Integrating Adaptive Fuzzy Controller with Hinfty Control -- 2.3.5 Integrating Adaptive Fuzzy Controller with Supervised Controller -- 2.3.6 Integrating Adaptive Fuzzy Controller with Other Control Methods -- 2.4 Different Classes of Nonlinear Systems -- 2.4.1 Affine Nonlinear Systems -- 2.4.2 Non-affine Nonlinear Systems -- 2.4.3 Nonlinear Feedback Systems -- 2.4.4 Nonlinear Pure-Feedback Systems
2.4.5 Nonlinear Single-Input-Single-Output and Multi-Input-Multi-Output Systems -- 2.4.6 Nonlinear Output and State Feedback Systems -- 2.4.7 Discrete and Continuous Systems -- 2.5 Adaptation Mechanism in Fuzzy Systems -- 2.5.1 Setting Parameters -- 2.5.2 Setting Structure and Parameter -- 2.6 Conclusion -- References -- 3 Type-2 Fuzzy Systems -- 3.1 Introduction -- 3.2 Singleton Fuzzy Systems -- 3.3 Non-singleton Fuzzy Systems -- 3.4 Features of Type-2 Fuzzy Systems -- 3.5 Basic Operations in Type-2 Fuzzy -- 3.6 Fuzzification -- 3.7 Rules -- 3.8 Logics -- 3.9 Type Reduction
3.10 Implementation in MATLAB -- 3.11 Designing a General Type-2 Fuzzy System with an Example -- 3.12 Interval Type-2 Fuzzy System -- 3.13 Conclusion -- References -- 4 Training Interval Type-2 Fuzzy Systems Based on Error Backpropagation -- 4.1 Introduction -- 4.2 Training Fuzzy Systems with Nie-Tan Type-Reduction -- 4.2.1 Implementation in MATLAB -- 4.3 Fuzzy System with KM-EKM Type-Reduction -- 4.4 Training Type-2 Fuzzy System with Extended Kalman Filter -- 4.5 Training Type-2 Fuzzy System Based on Genetic Algorithm -- 4.5.1 Introduction -- 4.6 Calling Genetic Algorithm
4.7 Jargons of GA Toolkit in MATLAB -- 4.7.1 GA-Based Optimization of Neuro-Fuzzy System Parameters -- 4.8 Training Neural Networks Based on PSO -- 4.8.1 Introduction -- 4.9 Formulation of Algorithm -- 4.10 Implementation in MATLAB -- 4.11 Training Type-2 Fuzzy System Through Second-Order Algorithms -- 4.11.1 Introduction -- 4.11.2 Newton's Method -- 4.11.3 Levenberg-Marquardt Algorithm -- 4.11.4 Conjugate Gradient Method -- 4.11.5 Implementation in MATLAB -- 4.12 Conclusion -- References -- 5 Baseline Indirect Adaptive Control -- 5.1 Problem Specifications -- 5.2 Designing Fuzzy Controller
Summary This book explains the basic concepts, theory and applications of fuzzy systems in control in a simple unified approach with clear ex-amples and simulations in the MATLAB programming language. Fuzzy systems, especially, type-2 neuro-fuzzy systems, are now used extensively in various engineering fields for different purposes. In plain language, this book aims to practically explain fuzzy sys-tems and different methods of training and optimizing these systems. For this purpose, type-2 neuro-fuzzy systems are first analyzed along with various methods of training and optimizing these systems through implementation in MATLAB. These systems are then em-ployed to design adaptive fuzzy controllers. The authors aim at pre-senting all the well-known optimization methods clearly and code them in the MATLAB language
Notes Description based upon print version of record
5.3 Designing Moderation Principle
Subject Fuzzy systems.
Control theory.
Control theory
Fuzzy systems
Form Electronic book
Author Sabzalian, Mohammad Hosein
Zhang, Chunwei
Castillo, Oscar, 1959-
Sakthivel, Rathinasamy
El-Sousy, Fayez F. M
ISBN 9783031173936
3031173937