Universal Fuzzy Controllers For Non Affine Nonlinear Systems

Download Universal Fuzzy Controllers For Non Affine Nonlinear Systems full books in PDF, epub, and Kindle. Read online Universal Fuzzy Controllers For Non Affine Nonlinear Systems ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Universal Fuzzy Controllers for Non-affine Nonlinear Systems

Author : Qing Gao
Publisher : Springer
ISBN 13 : 9811019746
Total Pages : 151 pages
Book Rating : 4.8/5 (11 download)

DOWNLOAD NOW!

Book Synopsis Universal Fuzzy Controllers for Non-affine Nonlinear Systems by : Qing Gao

Download or read book Universal Fuzzy Controllers for Non-affine Nonlinear Systems written by Qing Gao and published by Springer. This book was released on 2016-07-19 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : 高慶
Publisher :
ISBN 13 :
Total Pages : 382 pages
Book Rating : 4.:/5 (112 download)

DOWNLOAD NOW!

Book Synopsis Universal Fuzzy Controllers for Non-affine Nonlinear Systems by : 高慶

Download or read book Universal Fuzzy Controllers for Non-affine Nonlinear Systems written by 高慶 and published by . This book was released on 2013 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Differential Evolution Algorithm with Type-2 Fuzzy Logic for Dynamic Parameter Adaptation with Application to Intelligent Control

Download Differential Evolution Algorithm with Type-2 Fuzzy Logic for Dynamic Parameter Adaptation with Application to Intelligent Control PDF Online Free

Author : Oscar Castillo
Publisher : Springer Nature
ISBN 13 : 3030621332
Total Pages : 66 pages
Book Rating : 4.0/5 (36 download)

DOWNLOAD NOW!

Book Synopsis Differential Evolution Algorithm with Type-2 Fuzzy Logic for Dynamic Parameter Adaptation with Application to Intelligent Control by : Oscar Castillo

Download or read book Differential Evolution Algorithm with Type-2 Fuzzy Logic for Dynamic Parameter Adaptation with Application to Intelligent Control written by Oscar Castillo and published by Springer Nature. This book was released on 2020-11-19 with total page 66 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Maude Josée Blondin
Publisher : Springer Nature
ISBN 13 : 3030254461
Total Pages : 355 pages
Book Rating : 4.0/5 (32 download)

DOWNLOAD NOW!

Book Synopsis Computational Intelligence and Optimization Methods for Control Engineering by : Maude Josée Blondin

Download or read book Computational Intelligence and Optimization Methods for Control Engineering written by Maude Josée Blondin and published by Springer Nature. This book was released on 2019-09-20 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Yong-Duan Song
Publisher : CRC Press
ISBN 13 : 0429847637
Total Pages : 216 pages
Book Rating : 4.4/5 (298 download)

DOWNLOAD NOW!

Book Synopsis Control of Nonlinear Systems via PI, PD and PID by : Yong-Duan Song

Download or read book Control of Nonlinear Systems via PI, PD and PID written by Yong-Duan Song and published by CRC Press. This book was released on 2018-10-10 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Salim Ziani
Publisher : Springer Nature
ISBN 13 : 9819700450
Total Pages : 614 pages
Book Rating : 4.8/5 (197 download)

DOWNLOAD NOW!

Book Synopsis Proceedings of the 5th International Conference on Electrical Engineering and Control Applications–Volume 1 by : Salim Ziani

Download or read book Proceedings of the 5th International Conference on Electrical Engineering and Control Applications–Volume 1 written by Salim Ziani and published by Springer Nature. This book was released on with total page 614 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Knowledge-Based Intelligent Information and Engineering Systems

Author : Rajiv Khosla
Publisher : Springer Science & Business Media
ISBN 13 : 354028897X
Total Pages : 1009 pages
Book Rating : 4.5/5 (42 download)

DOWNLOAD NOW!

Book Synopsis Knowledge-Based Intelligent Information and Engineering Systems by : Rajiv Khosla

Download or read book Knowledge-Based Intelligent Information and Engineering Systems written by Rajiv Khosla and published by Springer Science & Business Media. This book was released on 2005-08-30 with total page 1009 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Intelligent Backstepping Control for the Alternating-Current Drive Systems

Author : Jinpeng Yu
Publisher : Springer Nature
ISBN 13 : 3030677230
Total Pages : 221 pages
Book Rating : 4.0/5 (36 download)

DOWNLOAD NOW!

Book Synopsis Intelligent Backstepping Control for the Alternating-Current Drive Systems by : Jinpeng Yu

Download or read book Intelligent Backstepping Control for the Alternating-Current Drive Systems written by Jinpeng Yu and published by Springer Nature. This book was released on 2021-02-13 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Neural Network-Based Adaptive Control of Uncertain Nonlinear Systems

Author : Kasra Esfandiari
Publisher : Springer Nature
ISBN 13 : 3030731367
Total Pages : 181 pages
Book Rating : 4.0/5 (37 download)

DOWNLOAD NOW!

Book Synopsis Neural Network-Based Adaptive Control of Uncertain Nonlinear Systems by : Kasra Esfandiari

Download or read book Neural Network-Based Adaptive Control of Uncertain Nonlinear Systems written by Kasra Esfandiari and published by Springer Nature. This book was released on 2021-06-18 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Fractional Order Control and Synchronization of Chaotic Systems

Author : Ahmad Taher Azar
Publisher : Springer
ISBN 13 : 3319502492
Total Pages : 873 pages
Book Rating : 4.3/5 (195 download)

DOWNLOAD NOW!

Book Synopsis Fractional Order Control and Synchronization of Chaotic Systems by : Ahmad Taher Azar

Download or read book Fractional Order Control and Synchronization of Chaotic Systems written by Ahmad Taher Azar and published by Springer. This book was released on 2017-02-27 with total page 873 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book reports on the latest advances in and applications of fractional order control and synchronization of chaotic systems, explaining the concepts involved in a clear, matter-of-fact style. It consists of 30 original contributions written by eminent scientists and active researchers in the field that address theories, methods and applications in a number of research areas related to fractional order control and synchronization of chaotic systems, such as: fractional chaotic systems, hyperchaotic systems, complex systems, fractional order discrete chaotic systems, chaos control, chaos synchronization, jerk circuits, fractional chaotic systems with hidden attractors, neural network, fuzzy logic controllers, behavioral modeling, robust and adaptive control, sliding mode control, different types of synchronization, circuit realization of chaotic systems, etc. In addition to providing readers extensive information on chaos fundamentals, fractional calculus, fractional differential equations, fractional control and stability, the book also discusses key applications of fractional order chaotic systems, as well as multidisciplinary solutions developed via control modeling. As such, it offers the perfect reference guide for graduate students, researchers and practitioners in the areas of fractional order control systems and fractional order chaotic systems.

Fault Diagnosis and Fault-Tolerant Control Based on Adaptive Control Approach

Author : Qikun Shen
Publisher : Springer
ISBN 13 : 3319525301
Total Pages : 250 pages
Book Rating : 4.3/5 (195 download)

DOWNLOAD NOW!

Book Synopsis Fault Diagnosis and Fault-Tolerant Control Based on Adaptive Control Approach by : Qikun Shen

Download or read book Fault Diagnosis and Fault-Tolerant Control Based on Adaptive Control Approach written by Qikun Shen and published by Springer. This book was released on 2017-02-14 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides recent theoretical developments in and practical applications of fault diagnosis and fault tolerant control for complex dynamical systems, including uncertain systems, linear and nonlinear systems. Combining adaptive control technique with other control methodologies, it investigates the problems of fault diagnosis and fault tolerant control for uncertain dynamic systems with or without time delay. As such, the book provides readers a solid understanding of fault diagnosis and fault tolerant control based on adaptive control technology. Given its depth and breadth, it is well suited for undergraduate and graduate courses on linear system theory, nonlinear system theory, fault diagnosis and fault tolerant control techniques. Further, it can be used as a reference source for academic research on fault diagnosis and fault tolerant control, and for postgraduates in the field of control theory and engineering.

Fuzzy Controllers

Author : Teodor Lucian Grigorie
Publisher : BoD – Books on Demand
ISBN 13 : 9533075430
Total Pages : 386 pages
Book Rating : 4.5/5 (33 download)

DOWNLOAD NOW!

Book Synopsis Fuzzy Controllers by : Teodor Lucian Grigorie

Download or read book Fuzzy Controllers written by Teodor Lucian Grigorie and published by BoD – Books on Demand. This book was released on 2011-02-28 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: Trying to meet the requirements in the field, present book treats different fuzzy control architectures both in terms of the theoretical design and in terms of comparative validation studies in various applications, numerically simulated or experimentally developed. Through the subject matter and through the inter and multidisciplinary content, this book is addressed mainly to the researchers, doctoral students and students interested in developing new applications of intelligent control, but also to the people who want to become familiar with the control concepts based on fuzzy techniques. Bibliographic resources used to perform the work includes books and articles of present interest in the field, published in prestigious journals and publishing houses, and websites dedicated to various applications of fuzzy control. Its structure and the presented studies include the book in the category of those who make a direct connection between theoretical developments and practical applications, thereby constituting a real support for the specialists in artificial intelligence, modelling and control fields.

Advanced Computational Intelligence and Intelligent Informatics

Author : Bin Xin
Publisher : Springer Nature
ISBN 13 : 981997593X
Total Pages : 365 pages
Book Rating : 4.8/5 (199 download)

DOWNLOAD NOW!

Book Synopsis Advanced Computational Intelligence and Intelligent Informatics by : Bin Xin

Download or read book Advanced Computational Intelligence and Intelligent Informatics written by Bin Xin and published by Springer Nature. This book was released on 2023-12-05 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set constitutes the refereed proceedings of the 8th International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2023, held in Beijing, China, in November 2023. The 56 papers presented were thoroughly reviewed and selected from the 118 qualifies submissions. They are organized in the topical sections on intelligent information processing; intelligent optimization and decision-making; pattern recognition and computer vision; advanced control; multi-agent systems; robotics.

Proceedings of 2013 Chinese Intelligent Automation Conference

Author : Zengqi Sun
Publisher : Springer Science & Business Media
ISBN 13 : 3642385249
Total Pages : 841 pages
Book Rating : 4.6/5 (423 download)

DOWNLOAD NOW!

Book Synopsis Proceedings of 2013 Chinese Intelligent Automation Conference by : Zengqi Sun

Download or read book Proceedings of 2013 Chinese Intelligent Automation Conference written by Zengqi Sun and published by Springer Science & Business Media. This book was released on 2013-06-24 with total page 841 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the 2013 Chinese Intelligent Automation Conference presents selected research papers from the CIAC’13, held in Yangzhou, China. The topics include e.g. adaptive control, fuzzy control, neural network based control, knowledge based control, hybrid intelligent control, learning control, evolutionary mechanism based control, multi-sensor integration, failure diagnosis, and reconfigurable control. Engineers and researchers from academia, industry, and government can gain an inside view of new solutions combining ideas from multiple disciplines in the field of intelligent automation. Zengqi Sun and Zhidong Deng are professors at the Department of Computer Science, Tsinghua University, China.

Fuzzy Systems Conference (FUZZ), 2000

Author : IEEE Neural Networks Council
Publisher : Institute of Electrical & Electronics Engineers(IEEE)
ISBN 13 : 9780780358775
Total Pages : 568 pages
Book Rating : 4.3/5 (587 download)

DOWNLOAD NOW!

Book Synopsis Fuzzy Systems Conference (FUZZ), 2000 by : IEEE Neural Networks Council

Download or read book Fuzzy Systems Conference (FUZZ), 2000 written by IEEE Neural Networks Council and published by Institute of Electrical & Electronics Engineers(IEEE). This book was released on 2000 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Fuzzy Algorithms for Control

Author : H. B. Verbruggen
Publisher : Springer Science & Business Media
ISBN 13 : 9401144052
Total Pages : 353 pages
Book Rating : 4.4/5 (11 download)

DOWNLOAD NOW!

Book Synopsis Fuzzy Algorithms for Control by : H. B. Verbruggen

Download or read book Fuzzy Algorithms for Control written by H. B. Verbruggen and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy Algorithms for Control gives an overview of the research results of a number of European research groups that are active and play a leading role in the field of fuzzy modeling and control. It contains 12 chapters divided into three parts. Chapters in the first part address the position of fuzzy systems in control engineering and in the AI community. State-of-the-art surveys on fuzzy modeling and control are presented along with a critical assessment of the role of these methodologists in control engineering. The second part is concerned with several analysis and design issues in fuzzy control systems. The analytical issues addressed include the algebraic representation of fuzzy models of different types, their approximation properties, and stability analysis of fuzzy control systems. Several design aspects are addressed, including performance specification for control systems in a fuzzy decision-making framework and complexity reduction in multivariable fuzzy systems. In the third part of the book, a number of applications of fuzzy control are presented. It is shown that fuzzy control in combination with other techniques such as fuzzy data analysis is an effective approach to the control of modern processes which present many challenges for the design of control systems. One has to cope with problems such as process nonlinearity, time-varying characteristics for incomplete process knowledge. Examples of real-world industrial applications presented in this book are a blast furnace, a lime kiln and a solar plant. Other examples of challenging problems in which fuzzy logic plays an important role and which are included in this book are mobile robotics and aircraft control. The aim of this book is to address both theoretical and practical subjects in a balanced way. It will therefore be useful for readers from the academic world and also from industry who want to apply fuzzy control in practice.

Sliding-Mode Fuzzy Controllers

Author : Mojtaba Ahmadieh Khanesar
Publisher : Springer Nature
ISBN 13 : 3030691829
Total Pages : 237 pages
Book Rating : 4.0/5 (36 download)

DOWNLOAD NOW!

Book Synopsis Sliding-Mode Fuzzy Controllers by : Mojtaba Ahmadieh Khanesar

Download or read book Sliding-Mode Fuzzy Controllers written by Mojtaba Ahmadieh Khanesar and published by Springer Nature. This book was released on 2021-07-21 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses some of the challenges suffered by the well-known and robust sliding-mode control paradigm. The authors show how the fusion of fuzzy systems with sliding-mode controllers can alleviate some of these problems and promote applicability. Fuzzy systems used as soft switches eliminate high-frequency signal oscillations and can substantially lower the noise sensitivity of sliding-mode controllers. The amount of a priori knowledge required concerning the nominal structure and parameters of a nonlinear system is also shown to be much reduced by exploiting the general function-approximation property of fuzzy systems so as to use them as identifiers. The main features of this book include: • a review of various existing structures of sliding-mode fuzzy control; • a guide to the fundamental mathematics of sliding-mode fuzzy controllers and their stability analysis; • state-of-the-art procedures for the design of a sliding-mode fuzzy controller; • source codes including MATLAB® and Simulink® codes illustrating the simulation of these controllers, particularly the adaptive controllers; • a short bibliography for each chapter for readers interested in learning more on a particular subject; and • illustrative examples and simulation results to support the main claims made in the text. Academic researchers and graduate students interested in the control of nonlinear systems and particularly those working in sliding-mode controller design will find this book a valuable source of comparative information on existing controllers and ideas for the development of new ones.