Adaptive Internal Model Control PDF Download
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Author | : Aniruddha Datta |
Publisher | : Springer Science & Business Media |
Total Pages | : 166 |
Release | : 2012-12-06 |
Genre | : Technology & Engineering |
ISBN | : 0857293311 |
Download Adaptive Internal Model Control Book in PDF, ePub and Kindle
Written in a self-contained tutorial fashion, this monograph successfully brings the latest theoretical advances in the design of robust adaptive systems to the realm of industrial applications. It provides a theoretical basis for verifying some of the reported industrial successes of existing adaptive control schemes and enables readers to synthesize adaptive versions of their own robust internal model control schemes.
Author | : Jason C. Hung |
Publisher | : Springer |
Total Pages | : 2003 |
Release | : 2019-05-18 |
Genre | : Technology & Engineering |
ISBN | : 9811336482 |
Download Frontier Computing Book in PDF, ePub and Kindle
This book presents the proceedings of the 6th International Conference on Frontier Computing, held in Kuala Lumpur, Malaysia on July 3–6, 2018, and provides comprehensive coverage of the latest advances and trends in information technology, science and engineering. It addresses a number of broad themes, including communication networks, business intelligence and knowledge management, web intelligence, and related fields that inspire the development of information technology. The contributions cover a wide range of topics: database and data mining, networking and communications, web and internet of things, embedded systems, soft computing, social network analysis, security and privacy, optical communication, and ubiquitous/pervasive computing. Many of the papers outline promising future research directions. The book is a valuable resource for students, researchers and professionals, and also offers a useful reference guide for newcomers to the field.
Author | : Gang Feng |
Publisher | : Newnes |
Total Pages | : 360 |
Release | : 1999-06-08 |
Genre | : Technology & Engineering |
ISBN | : 9780750639965 |
Download Adaptive Control Systems Book in PDF, ePub and Kindle
List of contributors; Preface; Adaptive internal model control; An algorithm for robust adaptive control with less prior knowledge; Adaptive variable structure control; Indirect adaptive periodic control; Adaptive stabilization of uncertain discrete-time systems via switching control: the method of localization; Adaptive nonlinear control: passivation and small gain techniques; Active identification for control of discrete-time uncertain nonlinear systems; Optimal adaptive tracking for nonlinear systems; Stable adaptive systems in the presence of nonlinear parametrization; Adaptive inverse for actuator compensation; Stable multi-input multi-output adaptive fuzzy/neural control; Adaptive robust control scheme with an application to PM synchronous motors; Index.
Author | : Gang Feng |
Publisher | : Elsevier |
Total Pages | : 361 |
Release | : 1999-05-10 |
Genre | : Technology & Engineering |
ISBN | : 0080498604 |
Download Adaptive Control Systems Book in PDF, ePub and Kindle
Adaptive control is no longer just an important theoretical field of study, but is also providing solutions to real-world problems. Adaptive techniques will transform the world of control. The leading world practitioners of adaptive control have contributed to this handbook which is the most important work yet in this field. Not only are techniques described in theory, but detailed control algorithms are given, making this a practical cookbook of adaptive control for both control professionals and practising engineers.The book presents the most advanced techniques and algorithms of adaptive control. These include various robust techniques, performance enhancement techniques, techniques with less a-priori knowledge, nonlinear adaptive control techniques and intelligent adaptive techniques. Each technique described has been developed to provide a practical solution to a real-life problem. This volume will therefore not only advance the field of adaptive control as an area of study, but will also show how the potential of this technology can be realised and offer significant benefits. Practical cookbook of adaptive control Contains important research
Author | : Petros Ioannou |
Publisher | : Courier Corporation |
Total Pages | : 850 |
Release | : 2013-09-26 |
Genre | : Technology & Engineering |
ISBN | : 0486320723 |
Download Robust Adaptive Control Book in PDF, ePub and Kindle
This tutorial-style presentation of the fundamental techniques and algorithms in adaptive control is designed to meet the needs of a wide audience without sacrificing mathematical depth or rigor. The text explores the design, analysis, and application of a wide variety of algorithms that can be used to manage dynamical systems with unknown parameters. Topics include models for dynamic systems, stability, online parameter estimation, parameter identifiers, model reference adaptive control, adaptive pole placement control, and robust adaptive laws. Engineers and students interested in learning how to design, stimulate, and implement parameter estimators and adaptive control schemes will find that this treatment does not require a full understanding of the analytical and technical proofs. This volume will also serve graduate students who wish to examine the analysis of simple schemes and discover the steps involved in more complex proofs. Advanced students and researchers will find it a guide to the grasp of long and technical proofs. Numerous examples demonstrating design procedures and the techniques of basic analysis enrich the text.
Author | : Thomas R. Sim |
Publisher | : |
Total Pages | : 298 |
Release | : 1990 |
Genre | : Adaptive control systems |
ISBN | : |
Download Adaptive Internal Model Control with Disturbance Prediction Book in PDF, ePub and Kindle
Author | : Lifford Lee Lancaster McLauchlan |
Publisher | : |
Total Pages | : 206 |
Release | : 2000 |
Genre | : |
ISBN | : |
Download Adaptive Internal Model Control for Multiple-input Multiple-ouput Systems Book in PDF, ePub and Kindle
Author | : Vladimir Nikiforov |
Publisher | : Springer Nature |
Total Pages | : 369 |
Release | : 2022-08-18 |
Genre | : Technology & Engineering |
ISBN | : 3030960919 |
Download Adaptive Regulation Book in PDF, ePub and Kindle
This monograph is focused on control law design methods for asymptotic tracking and disturbance rejection in the presence of uncertainties. The methods are based on adaptive implementation of the Internal Model Principle (IMP). The monograph shows how this principle can be applied to the problems of asymptotic rejection/tracking of a priori uncertain exogenous signals for linear and nonlinear plants with known and unknown parameters. The book begins by introducing the problems of adaptive control, the challenges that are faced, modern methods and an overview of the IMP. It then introduces special observers for uncertain exogeneous signals affecting linear and nonlinear systems with known and unknown parameters. The basic algorithms of adaptation applied to the canonical closed-loop error models are presented. The authors then address the systematic design of adaptive systems for asymptotic rejection/tracking of a priori uncertain exosignals. The monograph also discusses the adaptive rejection/tracking of a priori uncertain exogenous signals in systems with input delay, the problems of performance improvement in disturbance rejection and reference tracking and the issue of robustness of closed-loop systems. Adaptive Regulation provides a systematic discussion of the IMP applied to a variety of control problems, making it of interest to researchers and industrial practitioners.
Author | : Christoph M. Hackl |
Publisher | : Springer |
Total Pages | : 652 |
Release | : 2018-07-28 |
Genre | : Technology & Engineering |
ISBN | : 9783319855493 |
Download Non-identifier Based Adaptive Control in Mechatronics Book in PDF, ePub and Kindle
This book introduces non-identifier-based adaptive control (with and without internal model) and its application to the current, speed and position control of mechatronic systems such as electrical synchronous machines, wind turbine systems, industrial servo systems, and rigid-link, revolute-joint robots. In mechatronics, there is often only rough knowledge of the system. Due to parameter uncertainties, nonlinearities and unknown disturbances, model-based control strategies can reach their performance or stability limits without iterative controller design and performance evaluation, or system identification and parameter estimation. The non-identifier-based adaptive control presented is an alternative that neither identifies the system nor estimates its parameters but ensures stability. The adaptive controllers are easy to implement, compensate for disturbances and are inherently robust to parameter uncertainties and nonlinearities. For controller implementation only structural system knowledge (like relative degree, input-to-state stable zero dynamics and known sign of the high-frequency gain) is required. Moreover, the presented controllers guarantee reference tracking with prescribed asymptotic or transient accuracy, i.e. the tracking error eventually tends to or for all time evolves within an a priori specified region. The book presents the theory, modeling and application in a general but detailed and self-contained manner, making it easy to read and understand, particularly for newcomers to the topics covered
Author | : Claudio Bonivento |
Publisher | : Springer |
Total Pages | : 310 |
Release | : 2007-06-04 |
Genre | : Technology & Engineering |
ISBN | : 3540707018 |
Download Advances in Control Theory and Applications Book in PDF, ePub and Kindle
This volume is the outcome of the first CASY workshop on "Advances in Control Theory and Applications" which was held at University of Bologna on May 22-26, 2006. It consists of selected contributions by some of the invited speakers and contains recent results in control. The volume is intended for engineers, researchers, and students in control engineering.