Fuzzy Control Of Industrial Systems

Author : Ian S. Shaw
Publisher : Springer
ISBN 13 : 1475728131
Total Pages : 205 pages
Book Rating : 4.32/5 ( download)

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Download or read book Fuzzy Control of Industrial Systems written by Ian S. Shaw and published by Springer. This book was released on 2013-12-20 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Frank L. Lewis
Publisher : SIAM
ISBN 13 : 9780898717563
Total Pages : 258 pages
Book Rating : 4.66/5 ( download)

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Download or read book Neuro-Fuzzy Control of Industrial Systems with Actuator Nonlinearities written by Frank L. Lewis and published by SIAM. This book was released on 2002-01-01 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rigorous stability proofs are further verified by computer simulations, and appendices contain the computer code needed to build intelligent controllers for real-time applications. Neural networks capture the parallel processing and learning capabilities of biological nervous systems, and fuzzy logic captures the decision-making capabilities of human linguistics and cognitive systems.

Author : Ian Stephan Shaw
Publisher :
ISBN 13 : 9781475728149
Total Pages : 220 pages
Book Rating : 4.4X/5 ( download)

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Download or read book Fuzzy Control of Industrial Systems written by Ian Stephan Shaw and published by . This book was released on 2014-09-01 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Jairo Jose Espinosa Oviedo
Publisher : Springer Science & Business Media
ISBN 13 : 1846280877
Total Pages : 274 pages
Book Rating : 4.70/5 ( download)

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Download or read book Fuzzy Logic, Identification and Predictive Control written by Jairo Jose Espinosa Oviedo and published by Springer Science & Business Media. This book was released on 2007-01-04 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern industrial processes and systems require adaptable advanced control protocols able to deal with circumstances demanding "judgement” rather than simple "yes/no”, "on/off” responses: circumstances where a linguistic description is often more relevant than a cut-and-dried numerical one. The ability of fuzzy systems to handle numeric and linguistic information within a single framework renders them efficacious for this purpose. Fuzzy Logic, Identification and Predictive Control first shows you how to construct static and dynamic fuzzy models using the numerical data from a variety of real industrial systems and simulations. The second part exploits such models to design control systems employing techniques like data mining. This monograph presents a combination of fuzzy control theory and industrial serviceability that will make a telling contribution to your research whether in the academic or industrial sphere and also serves as a fine roundup of the fuzzy control area for the graduate student.

Author : Ying Bai
Publisher : Springer Science & Business Media
ISBN 13 : 1846284694
Total Pages : 342 pages
Book Rating : 4.94/5 ( download)

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Download or read book Advanced Fuzzy Logic Technologies in Industrial Applications written by Ying Bai and published by Springer Science & Business Media. This book was released on 2007-01-17 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces a dynamic, on-line fuzzy inference system. In this system membership functions and control rules are not determined until the system is applied and each output of its lookup table is calculated based on current inputs. The book describes the real-world uses of new fuzzy techniques to simplify readers’ tuning processes and enhance the performance of their control systems. It further contains application examples.

Author : Frank L. Lewis
Publisher : SIAM
ISBN 13 : 0898715059
Total Pages : 252 pages
Book Rating : 4.57/5 ( download)

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Download or read book Neuro-Fuzzy Control of Industrial Systems with Actuator Nonlinearities written by Frank L. Lewis and published by SIAM. This book was released on 2002-01-01 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Brings neural networks and fuzzy logic together with dynamical control systems. Each chapter presents powerful control approaches for the design of intelligent controllers to compensate for actuator nonlinearities.

Author : Zdenko Kovacic
Publisher : CRC Press
ISBN 13 : 142002650X
Total Pages : 416 pages
Book Rating : 4.04/5 ( download)

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Download or read book Fuzzy Controller Design written by Zdenko Kovacic and published by CRC Press. This book was released on 2018-10-08 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy control methods are critical for meeting the demands of complex nonlinear systems. They bestow robust, adaptive, and self-correcting character to complex systems that demand high stability and functionality beyond the capabilities of traditional methods. A thorough treatise on the theory of fuzzy logic control is out of place on the design bench. That is why Fuzzy Controller Design: Theory and Applications offers laboratory- and industry-tested algorithms, techniques, and formulations of real-world problems for immediate implementation. With surgical precision, the authors carefully select the fundamental elements of fuzzy logic control theory necessary to formulate effective and efficient designs. The book supplies a springboard of knowledge, punctuated with examples worked out in MATLAB®/SIMULINK®, from which newcomers to the field can dive directly into applications. It systematically covers the design of hybrid, adaptive, and self-learning fuzzy control structures along with strategies for fuzzy controller design suitable for on-line and off-line operation. Examples occupy an entire chapter, with a section devoted to the simulation of an electro-hydraulic servo system. The final chapter explores industrial applications with emphasis on techniques for fuzzy controller implementation and different implementation platforms for various applications. With proven methods based on more than a decade of experience, Fuzzy Controller Design: Theory and Applications is a concise guide to the methodology, design steps, and formulations for effective control solutions.

Author : Guanrong Chen
Publisher : CRC Press
ISBN 13 : 1420039814
Total Pages : 329 pages
Book Rating : 4.18/5 ( download)

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Download or read book Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems written by Guanrong Chen and published by CRC Press. This book was released on 2000-11-27 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the early 1970s, fuzzy systems and fuzzy control theories added a new dimension to control systems engineering. From its beginnings as mostly heuristic and somewhat ad hoc, more recent and rigorous approaches to fuzzy control theory have helped make it an integral part of modern control theory and produced many exciting results. Yesterday's "art

Author : S. Ramakrishnan
Publisher : BoD – Books on Demand
ISBN 13 : 9535133896
Total Pages : 468 pages
Book Rating : 4.96/5 ( download)

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Download or read book Modern Fuzzy Control Systems and Its Applications written by S. Ramakrishnan and published by BoD – Books on Demand. This book was released on 2017-08-30 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : John Yen
Publisher : Institute of Electrical & Electronics Engineers(IEEE)
ISBN 13 :
Total Pages : 414 pages
Book Rating : 4.26/5 ( download)

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Download or read book Industrial Applications of Fuzzy Logic and Intelligent Systems written by John Yen and published by Institute of Electrical & Electronics Engineers(IEEE). This book was released on 1995 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to fuzzy logic control. History of industrial applications of fuzzy logic in Japan. Fuzzy logic applications at OMRON Corporation. Survey of fuzzy logic applications in image-processing equipment. Applications of neural networks and fuzzy logic to consumer products. Knowledge processing based on fuzzy associative memory and its application to a helicopter control. Fuzzy logic hierarchical controller for a recuperative turboshaft engine: from mode selection to mode melding. Progress in reseacrh on autonomous vehicle motion planning. Autonomous navigation of a mobile robot using the behaviorist theory and VLSI fuzzy inferencing chips. Artificial intelligence, fuzzy logic, and sensor clusters. Intelligent sensor systems for space operations. Two automated tuning methods for fuzzy logic-based process control. On fuzzy control of nonchlorofluorocarbon air-conditioning systems. Fuzzy logic applications in Europe. Software tools for fuzzy control.