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Author: K. Warwick
Publisher: Inst of Engineering & Technology
ISBN: 9780863411274
Category : Technology & Engineering
Languages : en
Pages : 311
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Book Description
Recursive estimation schemes for self-tuning control. LOG based self-tuning controllers. Simplified self-tuning control algorithms. Implementation of continuous-time controllers. Numerical problems in adaptive control. Self-tuning control using extended prediction horizons. Software aspects of self-tuning control. Application of long range predictive control. Self adaptive state variable feedback control with application to glasshouse systems. Self-tuning control - a case study. LQG adaptive autopilots.
Author: K. Warwick
Publisher: Inst of Engineering & Technology
ISBN: 9780863411274
Category : Technology & Engineering
Languages : en
Pages : 311
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Book Description
Recursive estimation schemes for self-tuning control. LOG based self-tuning controllers. Simplified self-tuning control algorithms. Implementation of continuous-time controllers. Numerical problems in adaptive control. Self-tuning control using extended prediction horizons. Software aspects of self-tuning control. Application of long range predictive control. Self adaptive state variable feedback control with application to glasshouse systems. Self-tuning control - a case study. LQG adaptive autopilots.
Author: Vladimír Bobál
Publisher: Springer Science & Business Media
ISBN: 9781852339807
Category : Technology & Engineering
Languages : en
Pages : 340
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Book Description
Practical emphasis to teach students to use the powerful ideas of adaptive control in real applications Custom-made Matlab® functionality to facilitate the design and construction of self-tuning controllers for different processes and systems Examples, tutorial exercises and clearly laid-out flowcharts and formulae to make the subject simple to follow for students and to help tutors with class preparation
Author: Vladimír Bobál
Publisher: Springer Science & Business Media
ISBN: 1846280419
Category : Technology & Engineering
Languages : en
Pages : 328
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Book Description
Practical emphasis to teach students to use the powerful ideas of adaptive control in real applications Custom-made Matlab® functionality to facilitate the design and construction of self-tuning controllers for different processes and systems Examples, tutorial exercises and clearly laid-out flowcharts and formulae to make the subject simple to follow for students and to help tutors with class preparation
Author: Brian Roffel
Publisher:
ISBN: 9780138116705
Category : Adaptive control systems.
Languages : en
Pages : 117
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Book Description
Author: Liuping Wang
Publisher: John Wiley & Sons
ISBN: 1119469341
Category : Science
Languages : en
Pages : 366
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Book Description
Covers PID control systems from the very basics to the advanced topics This book covers the design, implementation and automatic tuning of PID control systems with operational constraints. It provides students, researchers, and industrial practitioners with everything they need to know about PID control systems—from classical tuning rules and model-based design to constraints, automatic tuning, cascade control, and gain scheduled control. PID Control System Design and Automatic Tuning using MATLAB/Simulink introduces PID control system structures, sensitivity analysis, PID control design, implementation with constraints, disturbance observer-based PID control, gain scheduled PID control systems, cascade PID control systems, PID control design for complex systems, automatic tuning and applications of PID control to unmanned aerial vehicles. It also presents resonant control systems relevant to many engineering applications. The implementation of PID control and resonant control highlights how to deal with operational constraints. Provides unique coverage of PID Control of unmanned aerial vehicles (UAVs), including mathematical models of multi-rotor UAVs, control strategies of UAVs, and automatic tuning of PID controllers for UAVs Provides detailed descriptions of automatic tuning of PID control systems, including relay feedback control systems, frequency response estimation, Monte-Carlo simulation studies, PID controller design using frequency domain information, and MATLAB/Simulink simulation and implementation programs for automatic tuning Includes 15 MATLAB/Simulink tutorials, in a step-by-step manner, to illustrate the design, simulation, implementation and automatic tuning of PID control systems Assists lecturers, teaching assistants, students, and other readers to learn PID control with constraints and apply the control theory to various areas. Accompanying website includes lecture slides and MATLAB/ Simulink programs PID Control System Design and Automatic Tuning using MATLAB/Simulink is intended for undergraduate electrical, chemical, mechanical, and aerospace engineering students, and will greatly benefit postgraduate students, researchers, and industrial personnel who work with control systems and their applications.
Author: P. E. Wellstead
Publisher: Chichester, West Sussex, England ; New York : Wiley
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 616
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Book Description
Geared to the users' needs, this work provides comprehensive coverage of the main techniques and methods necessary to construct a self-tuning and self-adaptive system. Eliminating a lot of theoretical rigor, it provides the reader with a fundamental understanding of basic algorithms and techniques useful in self-tuning control and signal processing. Every aspect of adaptive engineering is thoroughly covered including extensive descriptions of applications, commercial instruments and current research. Besides offering sections on advanced and detailed topics, the book provides a wide selection of tutorial problems that will aid and stimulate the reader.
Author: Thomas Duriez
Publisher: Springer
ISBN: 3319406248
Category : Technology & Engineering
Languages : en
Pages : 211
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Book Description
This is the first textbook on a generally applicable control strategy for turbulence and other complex nonlinear systems. The approach of the book employs powerful methods of machine learning for optimal nonlinear control laws. This machine learning control (MLC) is motivated and detailed in Chapters 1 and 2. In Chapter 3, methods of linear control theory are reviewed. In Chapter 4, MLC is shown to reproduce known optimal control laws for linear dynamics (LQR, LQG). In Chapter 5, MLC detects and exploits a strongly nonlinear actuation mechanism of a low-dimensional dynamical system when linear control methods are shown to fail. Experimental control demonstrations from a laminar shear-layer to turbulent boundary-layers are reviewed in Chapter 6, followed by general good practices for experiments in Chapter 7. The book concludes with an outlook on the vast future applications of MLC in Chapter 8. Matlab codes are provided for easy reproducibility of the presented results. The book includes interviews with leading researchers in turbulence control (S. Bagheri, B. Batten, M. Glauser, D. Williams) and machine learning (M. Schoenauer) for a broader perspective. All chapters have exercises and supplemental videos will be available through YouTube.
Author: Christopher John Harris
Publisher:
ISBN:
Category : Adaptive control systems
Languages : en
Pages : 360
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Book Description
Author: Chalam
Publisher: Routledge
ISBN: 1351468979
Category : Technology & Engineering
Languages : en
Pages : 391
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Book Description
impossible to access. It has been widely scattered in papers, reports, and proceedings ofsymposia, with different authors employing different symbols and terms. But now thereis a book that covers all aspects of this dynamic topic in a systematic manner.Featuring consistent terminology and compatible notation, and emphasizing unifiedstrategies, Adaptive Control Systems provides a comprehensive, integrated accountof basic concepts, analytical tools, algorithms, and a wide variety of application trendsand techniques.Adaptive Control Systems deals not only with the two principal approachesmodelreference adaptive control and self-tuning regulators-but also considers otheradaptive strategies involving variable structure systems, reduced order schemes, predictivecontrol, fuzzy logic, and more. In addition, it highlights a large number of practical applicationsin a range of fields from electrical to biomedical and aerospace engineering ...and includes coverage of industrial robots.The book identifies current trends in the development of adaptive control systems ...delineates areas for further research . : . and provides an invaluable bibliography of over1,200 references to the literature.The first authoritative reference in this important area of work, Adaptive ControlSystems is an essential information source for electrical and electronics, R&D,chemical, mechanical, aerospace, biomedical, metallurgical, marine, transportation, andpower plant engineers. It is also useful as a text in professional society seminars and inhousetraining programs for personnel involved with the control of complex systems, andfor graduate students engaged in the study of adaptive control systems.
Author: K. Warwick
Publisher: IET
ISBN: 9780863411373
Category : Technology & Engineering
Languages : en
Pages : 552
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Book Description
Includes: Digital signals and systems. Digital controllers for process control applications. Design of digital controllers. Control of time delay systems. State-space concepts. System identification. Introduction to discrete optimal control. Multivariable control. Adaptive control. Computer aided design for industrial control systems. Reliability and redundancy in microprocessor controllers. Software and hardware aspects of industrial controller implementations. Application of distributed digital control algorithms to power stations. An expert system for process control.
