Modern Adaptive Fuzzy Control Systems PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Modern Adaptive Fuzzy Control Systems PDF full book. Access full book title Modern Adaptive Fuzzy Control Systems.
| Author | : Ardashir Mohammadzadeh |
| Publisher | : Springer Nature |
| Total Pages | : 161 |
| Release | : 2022-11-02 |
| Genre | : Technology & Engineering |
| ISBN | : 3031173937 |
Download Modern Adaptive Fuzzy Control Systems Book in PDF, ePub and Kindle
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.
| Author | : S. Ramakrishnan |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 468 |
| Release | : 2017-08-30 |
| Genre | : Mathematics |
| ISBN | : 9535133896 |
Download Modern Fuzzy Control Systems and Its Applications Book in PDF, ePub and Kindle
Control systems play an important role in engineering. Fuzzy logic is the natural choice for designing control applications and is the most popular and appropriate for the control of home and industrial appliances. Academic and industrial experts are constantly researching and proposing innovative and effective fuzzy control systems. This book is an edited volume and has 21 innovative chapters arranged into five sections covering applications of fuzzy control systems in energy and power systems, navigation systems, imaging, and industrial engineering. Overall, this book provides a rich set of modern fuzzy control systems and their applications and will be a useful resource for the graduate students, researchers, and practicing engineers in the field of electrical engineering.
| Author | : Dimiter Driankov |
| Publisher | : Physica |
| Total Pages | : 421 |
| Release | : 2013-04-17 |
| Genre | : Computers |
| ISBN | : 3790818860 |
Download Advances in Fuzzy Control Book in PDF, ePub and Kindle
Model-based fuzzy control uses a given conventional or a fuzzy open loop of the plant under control in order to derive the set of fuzzy if-then rules constituting the corresponding fuzzy controller. Furthermore, of central interest are the consequent stability, performance, and robustness analysis of the resulting closed loop system involving a conventional model and a fuzzy controller, or a fuzzy model and a fuzzy controller. The major objective of the model-based fuzzy control is to use the full available range of existing linear and nonlinear design of such fuzzy controllers which have better stability, performance, and robustness properties than the corresponding non-fuzzy controllers designed by the use of these same techniques.
| Author | : Li-Xin Wang |
| Publisher | : Prentice Hall |
| Total Pages | : 262 |
| Release | : 1994 |
| Genre | : Computers |
| ISBN | : |
Download Adaptive Fuzzy Systems and Control Book in PDF, ePub and Kindle
This volume develops a variety of adaptive fuzzy systems and applies them to a variety of engineering problems. It summarizes the state-of-the-art methods for automatic tuning of the parameters and structures of fuzzy logic systems.
| Author | : John H. Lilly |
| Publisher | : John Wiley & Sons |
| Total Pages | : 199 |
| Release | : 2011-03-10 |
| Genre | : Technology & Engineering |
| ISBN | : 1118097815 |
Download Fuzzy Control and Identification Book in PDF, ePub and Kindle
This book gives an introduction to basic fuzzy logic and Mamdani and Takagi-Sugeno fuzzy systems. The text shows how these can be used to control complex nonlinear engineering systems, while also also suggesting several approaches to modeling of complex engineering systems with unknown models. Finally, fuzzy modeling and control methods are combined in the book, to create adaptive fuzzy controllers, ending with an example of an obstacle-avoidance controller for an autonomous vehicle using modus ponendo tollens logic.
| Author | : Ruiyun Qi |
| Publisher | : Springer |
| Total Pages | : 282 |
| Release | : 2019-06-11 |
| Genre | : Technology & Engineering |
| ISBN | : 3030198820 |
Download Fuzzy System Identification and Adaptive Control Book in PDF, ePub and Kindle
This book provides readers with a systematic and unified framework for identification and adaptive control of Takagi–Sugeno (T–S) fuzzy systems. Its design techniques help readers applying these powerful tools to solve challenging nonlinear control problems. The book embodies a systematic study of fuzzy system identification and control problems, using T–S fuzzy system tools for both function approximation and feedback control of nonlinear systems. Alongside this framework, the book also: introduces basic concepts of fuzzy sets, logic and inference system; discusses important properties of T–S fuzzy systems; develops offline and online identification algorithms for T–S fuzzy systems; investigates the various controller structures and corresponding design conditions for adaptive control of continuous-time T–S fuzzy systems; develops adaptive control algorithms for discrete-time input–output form T–S fuzzy systems with much relaxed design conditions, and discrete-time state-space T–S fuzzy systems; and designs stable parameter-adaptation algorithms for both linearly and nonlinearly parameterized T–S fuzzy systems. The authors address adaptive fault compensation problems for T–S fuzzy systems subject to actuator faults. They cover a broad spectrum of related technical topics and to develop a substantial set of adaptive nonlinear system control tools. Fuzzy System Identification and Adaptive Control helps engineers in the mechanical, electrical and aerospace fields, to solve complex control design problems. The book can be used as a reference for researchers and academics in nonlinear, intelligent, adaptive and fault-tolerant control.
| Author | : Dimiter Driankov |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 329 |
| Release | : 2013-06-29 |
| Genre | : Computers |
| ISBN | : 3662032848 |
Download An Introduction to Fuzzy Control Book in PDF, ePub and Kindle
Fuzzy controllers are a class of knowledge based controllers using artificial intelligence techniques with origins in fuzzy logic. They can be found either as stand-alone control elements or as integral parts of a wide range of industrial process control systems and consumer products. Applications of fuzzy controllers are an established practice for Japanese manufacturers, and are spreading in Europe and America. The main aim of this book is to show that fuzzy control is not totally ad hoc, that there exist formal techniques for the analysis of a fuzzy controller, and that fuzzy control can be implemented even when no expert knowledge is available. The book is mainly oriented to control engineers and theorists, although parts can be read without any knowledge of control theory and may interest AI people. This 2nd, revised edition incorporates suggestions from numerous reviewers and updates and reorganizes some of the material.
| Author | : Kaushik Das Sharma |
| Publisher | : Springer |
| Total Pages | : 302 |
| Release | : 2018-08-28 |
| Genre | : Technology & Engineering |
| ISBN | : 9811312982 |
Download Intelligent Control Book in PDF, ePub and Kindle
This book discusses systematic designs of stable adaptive fuzzy logic controllers employing hybridizations of Lyapunov strategy-based approaches/H∞ theory-based approaches and contemporary stochastic optimization techniques. The text demonstrates how candidate stochastic optimization techniques like Particle swarm optimization (PSO), harmony search (HS) algorithms, covariance matrix adaptation (CMA) etc. can be utilized in conjunction with the Lyapunov theory/H∞ theory to develop such hybrid control strategies. The goal of developing a series of such hybridization processes is to combine the strengths of both Lyapunov theory/H∞ theory-based local search methods and stochastic optimization-based global search methods, so as to attain superior control algorithms that can simultaneously achieve desired asymptotic performance and provide improved transient responses. The book also demonstrates how these intelligent adaptive control algorithms can be effectively utilized in real-life applications such as in temperature control for air heater systems with transportation delay, vision-based navigation of mobile robots, intelligent control of robot manipulators etc.
| Author | : Abraham Kandel |
| Publisher | : CRC Press |
| Total Pages | : 664 |
| Release | : 1993-09-27 |
| Genre | : Computers |
| ISBN | : 9780849344961 |
Download Fuzzy Control Systems Book in PDF, ePub and Kindle
Fuzzy Control Systems explores one of the most active areas of research involving fuzzy set theory. The contributors address basic issues concerning the analysis, design, and application of fuzzy control systems. Divided into three parts, the book first devotes itself to the general theory of fuzzy control systems. The second part deals with a variety of methodologies and algorithms used in the analysis and design of fuzzy controllers. The various paradigms include fuzzy reasoning models, fuzzy neural networks, fuzzy expert systems, and genetic algorithms. The final part considers current applications of fuzzy control systems. This book should be required reading for researchers, practitioners, and students interested in fuzzy control systems, artificial intelligence, and fuzzy sets and systems.
| Author | : Ian S. Shaw |
| Publisher | : Springer |
| Total Pages | : 205 |
| Release | : 2013-12-20 |
| Genre | : Mathematics |
| ISBN | : 1475728131 |
Download Fuzzy Control of Industrial Systems Book in PDF, ePub and Kindle
Fuzzy Control of Industrial Systems: Theory and Applications presents the basic theoretical framework of crisp and fuzzy set theory, relating these concepts to control engineering based on the analogy between the Laplace transfer function of linear systems and the fuzzy relation of a nonlinear fuzzy system. Included are generic aspects of fuzzy systems with an emphasis on the many degrees of freedom and its practical design implications, modeling and systems identification techniques based on fuzzy rules, parametrized rules and relational equations, and the principles of adaptive fuzzy and neurofuzzy systems. Practical design aspects of fuzzy controllers are covered by the detailed treatment of fuzzy and neurofuzzy software design tools with an emphasis on iterative fuzzy tuning, while novel stability limit testing methods and the definition and practical examples of the new concept of collaborative control systems are also given. In addition, case studies of successful applications in industrial automation, process control, electric power technology, electric traction, traffic engineering, wastewater treatment, manufacturing, mineral processing and automotive engineering are also presented, in order to assist industrial control systems engineers in recognizing situations when fuzzy and neurofuzzy would offer certain advantages over traditional methods, particularly in controlling highly nonlinear and time-variant plants and processes.
