Intelligent Control Design and MATLAB Simulation

Intelligent Control Design and MATLAB Simulation

Author: Jinkun Liu

Publisher: Springer

ISBN: 9789811052637

Category: Technology & Engineering

Page: 290

View: 901

This book offers a comprehensive introduction to intelligent control system design, using MATLAB simulation to verify typical intelligent controller designs. It also uses real-world case studies that present the results of intelligent controller implementations to illustrate the successful application of the theory. Addressing the need for systematic design approaches to intelligent control system design using neural network and fuzzy-based techniques, the book introduces the concrete design method and MATLAB simulation of intelligent control strategies; offers a catalog of implementable intelligent control design methods for engineering applications; provides advanced intelligent controller design methods and their stability analysis methods; and presents a sample simulation and Matlab program for each intelligent control algorithm. The main topics addressed are expert control, fuzzy logic control, adaptive fuzzy control, neural network control, adaptive neural control and intelligent optimization algorithms, providing several engineering application examples for each method.

Intelligent Control in Energy Systems

Intelligent Control in Energy Systems

Author: Anastasios Dounis

Publisher: MDPI

ISBN: 9783039214150

Category: Science

Page: 508

View: 606

The editors of this Special Issue titled “Intelligent Control in Energy Systems” have attempted to create a book containing original technical articles addressing various elements of intelligent control in energy systems. In response to our call for papers, we received 60 submissions. Of those submissions, 27 were published and 33 were rejected. In this book, we offer the 27 accepted technical articles as well as one editorial. Authors from 15 countries (China, Netherlands, Spain, Tunisia, United Sates of America, Korea, Brazil, Egypt, Denmark, Indonesia, Oman, Canada, Algeria, Mexico, and the Czech Republic) elaborate on several aspects of intelligent control in energy systems. The book covers a broad range of topics including fuzzy PID in automotive fuel cell and MPPT tracking, neural networks for fuel cell control and dynamic optimization of energy management, adaptive control on power systems, hierarchical Petri Nets in microgrid management, model predictive control for electric vehicle battery and frequency regulation in HVAC systems, deep learning for power consumption forecasting, decision trees for wind systems, risk analysis for demand side management, finite state automata for HVAC control, robust μ-synthesis for microgrids, and neuro-fuzzy systems in energy storage.

Intelligent Control

Intelligent Control

Author: Willem de Lint

Publisher: University of Toronto Press

ISBN: 9781442693388

Category: Law

Page: 240

View: 241

Massive public protests have had a prominent presence at the turn of the millennium, with many thousands of protestors controlled by small, yet, increasingly specialized police forces. Investigating the ways in which police practices have evolved in relation to labour strikes and protests, Intelligent Control examines the means by which police forces have developed more coercive and consent-based approaches to regulating social unrest. Willem de Lint and Alan Hall argue that police forces have been gradually adapting public order operations to match or reflect wider trends in politics and society. The main such development is the enfolding of neoliberalism. Police and labour and protester adaptations have followed a fine line between legitimacy and illegitimacy, consent and coercion. The authors explore the development of consent policing from its roots in labour strike countering and the emergence of what they call 'intelligent control' from expanded covert, intelligence-gathering operations. A concise study of how police practices changed from the 1960s to the present day, Intelligent Control is an informative account of a revolution in modern policing.

Intelligent Control in Drying

Intelligent Control in Drying

Author: Alex Martynenko

Publisher: CRC Press

ISBN: 9780429811319

Category: Science

Page: 463

View: 386

Despite the available general literature in intelligent control, there is a definite lack of knowledge and know-how in practical applications of intelligent control in drying. This book fills that gap. Intelligent Control in Drying serves as an innovative and practical guide for researchers and professionals in the field of drying technologies, providing an overview of control principles and systems used in drying operations, from classical to model-based to adaptive and optimal control. At the same time, it lays out approaches to synthesis of control systems, based on the objectives and control strategies, reflecting complexity of drying process and material under drying. This essential reference covers both fundamental and practical aspects of intelligent control, sensor fusion and dynamic optimization with respect to drying.

Methods and Applications of Intelligent Control

Methods and Applications of Intelligent Control

Author: S.G. Tzafestas

Publisher: Springer Science & Business Media

ISBN: 9789401154987

Category: Technology & Engineering

Page: 564

View: 949

This book is concerned with Intelligent Control methods and applications. The field of intelligent control has been expanded very much during the recent years and a solid body of theoretical and practical results are now available. These results have been obtained through the synergetic fusion of concepts and techniques from a variety of fields such as automatic control, systems science, computer science, neurophysiology and operational research. Intelligent control systems have to perform anthropomorphic tasks fully autonomously or interactively with the human under known or unknown and uncertain environmental conditions. Therefore the basic components of any intelligent control system include cognition, perception, learning, sensing, planning, numeric and symbolic processing, fault detection/repair, reaction, and control action. These components must be linked in a systematic, synergetic and efficient way. Predecessors of intelligent control are adaptive control, self-organizing control, and learning control which are well documented in the literature. Typical application examples of intelligent controls are intelligent robotic systems, intelligent manufacturing systems, intelligent medical systems, and intelligent space teleoperators. Intelligent controllers must employ both quantitative and qualitative information and must be able to cope with severe temporal and spatial variations, in addition to the fundamental task of achieving the desired transient and steady-state performance. Of course the level of intelligence required in each particular application is a matter of discussion between the designers and users. The current literature on intelligent control is increasing, but the information is still available in a sparse and disorganized way.

Intelligent Control and Innovative Computing

Intelligent Control and Innovative Computing

Author: Sio Iong Ao

Publisher: Springer Science & Business Media

ISBN: 9781461416944

Category: Technology & Engineering

Page: 433

View: 161

A large international conference on Advances in Intelligent Control and Innovative Computing was held in Hong Kong, March March 16-18, 2011, under the auspices of the International MultiConference of Engineers and Computer Scientists (IMECS 2010). The IMECS is organized by the International Association of Engineers (IAENG). Intelligent Control and Computer Engineering contains 25 revised and extended research articles written by prominent researchers participating in the conference. Topics covered include artificial intelligence, control engineering, decision supporting systems, automated planning, automation systems, systems identification, modelling and simulation, communication systems, signal processing, and industrial applications. Intelligent Control and Innovative Computing offers the state of the art of tremendous advances in intelligent control and computer engineering and also serves as an excellent reference text for researchers and graduate students, working on intelligent control and computer engineering.

Intelligent Control Systems Using Soft Computing Methodologies

Intelligent Control Systems Using Soft Computing Methodologies

Author: Ali Zilouchian

Publisher: CRC Press

ISBN: 9781420058147

Category: Technology & Engineering

Page: 504

View: 772

In recent years, intelligent control has emerged as one of the most active and fruitful areas of research and development. Until now, however, there has been no comprehensive text that explores the subject with focus on the design and analysis of biological and industrial applications. Intelligent Control Systems Using Soft Computing Methodologies does all that and more. Beginning with an overview of intelligent control methodologies, the contributors present the fundamentals of neural networks, supervised and unsupervised learning, and recurrent networks. They address various implementation issues, then explore design and verification of neural networks for a variety of applications, including medicine, biology, digital signal processing, object recognition, computer networking, desalination technology, and oil refinery and chemical processes. The focus then shifts to fuzzy logic, with a review of the fundamental and theoretical aspects, discussion of implementation issues, and examples of applications, including control of autonomous underwater vehicles, navigation of space vehicles, image processing, robotics, and energy management systems. The book concludes with the integration of genetic algorithms into the paradigm of soft computing methodologies, including several more industrial examples, implementation issues, and open problems and open problems related to intelligent control technology. Suitable as a textbook or a reference, Intelligent Control Systems explores recent advances in the field from both the theoretical and the practical viewpoints. It also integrates intelligent control design methodologies to give designers a set of flexible, robust controllers and provide students with a tool for solving the examples and exercises within the book.

Intelligent Control Systems Using Computational Intelligence Techniques

Intelligent Control Systems Using Computational Intelligence Techniques

Author: A.E. Ruano

Publisher: IET

ISBN: 9780863414893

Category: Computers

Page: 478

View: 849

Intelligent Control techniques are becoming important tools in both academia and industry. Methodologies developed in the field of soft-computing, such as neural networks, fuzzy systems and evolutionary computation, can lead to accommodation of more complex processes, improved performance and considerable time savings and cost reductions. Intelligent Control Systems using Computational Intellingence Techniques details the application of these tools to the field of control systems. Each chapter gives and overview of current approaches in the topic covered, with a set of the most important references in the field, and then details the author's approach, examining both the theory and practical applications.

1997 IEEE International Symposium on Intelligent Control

1997 IEEE International Symposium on Intelligent Control

Author: IEEE Control Systems Society

Publisher: Institute of Electrical & Electronics Engineers(IEEE)

ISBN: UOM:39015035295842

Category: Intelligent control systems

Page: 498

View: 144

These papers discuss major areas of intelligent control. Topics include: intelligent control in space structures; hybrid control system synthesis, verification and stability; intelligent machines; and neural networks for robotics."