Universal Fuzzy Controllers For Non Affine Nonlinear Systems
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Universal Fuzzy Controllers For Non Affine Nonlinear Systems
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Author : Qing Gao
language : en
Publisher: Springer
Release Date : 2016-07-19
Universal Fuzzy Controllers For Non Affine Nonlinear Systems written by Qing Gao and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-19 with Technology & Engineering categories.
This thesis provides a systematic and integral answer to an open problem concerning the universality of dynamic fuzzy controllers. It presents a number of novel ideas and approaches to various issues including universal function approximation, universal fuzzy models, universal fuzzy stabilization controllers, and universal fuzzy integral sliding mode controllers. The proposed control design criteria can be conveniently verified using the MATLAB toolbox. Moreover, the thesis provides a new, easy-to-use form of fuzzy variable structure control. Emphasis is given to the point that, in the context of deterministic/stochastic systems in general, the authors are in fact discussing non-affine nonlinear systems using a class of generalized T-S fuzzy models, which offer considerable potential in a wide range of applications.
Universal Fuzzy Controllers For Non Affine Nonlinear Systems
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Author : 高慶
language : en
Publisher:
Release Date : 2013
Universal Fuzzy Controllers For Non Affine Nonlinear Systems written by 高慶 and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Automatic control categories.
Differential Evolution Algorithm With Type 2 Fuzzy Logic For Dynamic Parameter Adaptation With Application To Intelligent Control
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Author : Oscar Castillo
language : en
Publisher: Springer Nature
Release Date : 2020-11-19
Differential Evolution Algorithm With Type 2 Fuzzy Logic For Dynamic Parameter Adaptation With Application To Intelligent Control written by Oscar Castillo and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-19 with Technology & Engineering categories.
This book focuses on the fields of fuzzy logic, bio-inspired algorithm, especially the differential evolution algorithm and also considering the fuzzy control area. The main idea is that these two areas together can help solve various control problems and to find better results. In this book, the authors test the proposed method using five benchmark control problems. First, the water tank, temperature, mobile robot, and inverted pendulum controllers are considered. For these 4 problems, experimentation was carried out using a Type-1 fuzzy system and an Interval Type-2 system. The last control problem was the D.C. motor, for which the experiments were performed with Type-1, Interval Type-2, and Generalized Type-2 fuzzy systems. When we use fuzzy systems combined with the differential evolution algorithm, we can notice that the results obtained in each of the controllers are better and with increasing uncertainty, the results are even better. For this reason, the authors consider in this book the proposed method using fuzzy systems and the differential evolution algorithm to improve the fuzzy controllers’ behavior in complex control problems.
Computational Intelligence And Optimization Methods For Control Engineering
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Author : Maude Josée Blondin
language : en
Publisher: Springer Nature
Release Date : 2019-09-20
Computational Intelligence And Optimization Methods For Control Engineering written by Maude Josée Blondin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-20 with Mathematics categories.
This volume presents some recent and principal developments related to computational intelligence and optimization methods in control. Theoretical aspects and practical applications of control engineering are covered by 14 self-contained contributions. Additional gems include the discussion of future directions and research perspectives designed to add to the reader’s understanding of both the challenges faced in control engineering and the insights into the developing of new techniques. With the knowledge obtained, readers are encouraged to determine the appropriate control method for specific applications.
Control Of Nonlinear Systems Via Pi Pd And Pid
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Author : Yong-Duan Song
language : en
Publisher: CRC Press
Release Date : 2018-10-10
Control Of Nonlinear Systems Via Pi Pd And Pid written by Yong-Duan Song and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-10 with Technology & Engineering categories.
The purpose of this book is to give an exposition of recently adaptive PI/PD/PID control design for nonlinear systems. Since PI/PD/PID control is simple in structure and inexpensive in implementation, it has been undoubtedly the most widely employed controller in industry. In fact, PI/PD/PID controllers are sufficient for many control problems, particularly when process dynamics are benign and the performance requirements are modest. The book focuses on how to design general PI/PD/PID controller with self-tuning gains for different systems, which includes SISO nonlinear system, SISO nonaffine system and MIMO nonlinear system.
Proceedings Of The 5th International Conference On Electrical Engineering And Control Applications Volume 1
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Author : Salim Ziani
language : en
Publisher: Springer Nature
Release Date : 2024-09-30
Proceedings Of The 5th International Conference On Electrical Engineering And Control Applications Volume 1 written by Salim Ziani and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-30 with Technology & Engineering categories.
This book gathers papers presented during the 5th International Conference on Electrical Engineering and Control Applications (ICEECA 2022), held on November, 15–17, 2022, Khenchela, Algeria. It covers new control system models, troubleshooting tips, and complex system requirements, such as increased speed, precision, and remote capabilities. Additionally, the book discusses not only the engineering aspects of signal processing and various practical issues in the broad field of information transmission, but also novel technologies for communication networks and modern antenna design. The later part of the book covers important related topics such as fault diagnosis and fault-tolerant control strategies for nonlinear systems and alternative energy sources. This book is intended for researchers, engineers, and advanced postgraduate students in the fields of control and electrical engineering, computer science, signal processing, as well as mechanical and chemical engineering.
Knowledge Based Intelligent Information And Engineering Systems
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Author : Rajiv Khosla
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-08-30
Knowledge Based Intelligent Information And Engineering Systems written by Rajiv Khosla and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-08-30 with Business & Economics categories.
The four volume set LNAI 3681, LNAI 3682, LNAI 3683, and LNAI 3684 constitute the refereed proceedings of the 9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005, held in Melbourne, Australia in September 2005. The 716 revised papers presented were carefully reviewed and selected from nearly 1400 submissions. The papers present a wealth of original research results from the field of intelligent information processing in the broadest sense; topics covered in the fourth volume are innovations in intelligent systems and their applications, data mining and soft computing applications, skill acquisition and ubiquitous human computer interaction, soft computing and their applications, agent-based workflows, knowledge sharing and reuse, multi-media authentication and watermarking applications, knowledge and engineering techniques for spatio-temporal applications, intelligent data analysis and applications, creativitiy support environment and its social applications, collective intelligence, computational methods for intelligent neuro-fuzzy applications, evolutionary and self-organizing sensors, actuators and processing hardware, knowledge based systems for e-business and e-learning, multi-agent systems and evolutionary computing, ubiquitous pattern recognition, neural networks for data mining, and knowledge-based technology in crime matching, modelling and prediction.
Neural Network Based Adaptive Control Of Uncertain Nonlinear Systems
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Author : Kasra Esfandiari
language : en
Publisher: Springer Nature
Release Date : 2021-06-18
Neural Network Based Adaptive Control Of Uncertain Nonlinear Systems written by Kasra Esfandiari and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-18 with Technology & Engineering categories.
The focus of this book is the application of artificial neural networks in uncertain dynamical systems. It explains how to use neural networks in concert with adaptive techniques for system identification, state estimation, and control problems. The authors begin with a brief historical overview of adaptive control, followed by a review of mathematical preliminaries. In the subsequent chapters, they present several neural network-based control schemes. Each chapter starts with a concise introduction to the problem under study, and a neural network-based control strategy is designed for the simplest case scenario. After these designs are discussed, different practical limitations (i.e., saturation constraints and unavailability of all system states) are gradually added, and other control schemes are developed based on the primary scenario. Through these exercises, the authors present structures that not only provide mathematical tools for navigating control problems, but also supply solutions that are pertinent to real-life systems.
Intelligent Backstepping Control For The Alternating Current Drive Systems
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Author : Jinpeng Yu
language : en
Publisher: Springer Nature
Release Date : 2021-02-13
Intelligent Backstepping Control For The Alternating Current Drive Systems written by Jinpeng Yu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-13 with Technology & Engineering categories.
This book focuses on the intelligent control design for both the induction motor (IM) and the permanent magnet synchronous motor (PMSM). Compared with traditional control schemes, such as the field-oriented control (FOC) and the direct torque control (DTC), the intelligent controllers designed in this book could overcome the influence of parameter uncertainty and load torque disturbance. This book is a research monograph, which provides valuable reference material for researchers who wish to explore the area of AC motor. In addition, the main contents of the book are also suitable for a one-semester graduate course.
Fundamentals And Aerospace Applications Of Prescribed Performance Control
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Author : Caisheng Wei
language : en
Publisher: Springer Nature
Release Date :
Fundamentals And Aerospace Applications Of Prescribed Performance Control written by Caisheng Wei and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.