Non Identifier Based Adaptive Control In Mechatronics 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 Non Identifier Based Adaptive Control In Mechatronics PDF full book. Access full book title Non Identifier Based Adaptive Control In Mechatronics.
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 | : Achim Ilchmann |
Publisher | : |
Total Pages | : 0 |
Release | : 1993 |
Genre | : Adaptive control systems |
ISBN | : 9780387198453 |
Download Non-identifier-based High-gain Adaptive Control Book in PDF, ePub and Kindle
Author | : Marcin Szuster |
Publisher | : Springer |
Total Pages | : 387 |
Release | : 2017-12-28 |
Genre | : Technology & Engineering |
ISBN | : 331968826X |
Download Intelligent Optimal Adaptive Control for Mechatronic Systems Book in PDF, ePub and Kindle
The book deals with intelligent control of mobile robots, presenting the state-of-the-art in the field, and introducing new control algorithms developed and tested by the authors. It also discusses the use of artificial intelligent methods like neural networks and neuraldynamic programming, including globalised dual-heuristic dynamic programming, for controlling wheeled robots and robotic manipulators,and compares them to classical control methods.
Author | : Mouhacine Benosman |
Publisher | : Butterworth-Heinemann |
Total Pages | : 284 |
Release | : 2016-08-02 |
Genre | : Technology & Engineering |
ISBN | : 0128031514 |
Download Learning-Based Adaptive Control Book in PDF, ePub and Kindle
Adaptive control has been one of the main problems studied in control theory. The subject is well understood, yet it has a very active research frontier. This book focuses on a specific subclass of adaptive control, namely, learning-based adaptive control. As systems evolve during time or are exposed to unstructured environments, it is expected that some of their characteristics may change. This book offers a new perspective about how to deal with these variations. By merging together Model-Free and Model-Based learning algorithms, the author demonstrates, using a number of mechatronic examples, how the learning process can be shortened and optimal control performance can be reached and maintained. Includes a good number of Mechatronics Examples of the techniques. Compares and blends Model-free and Model-based learning algorithms. Covers fundamental concepts, state-of-the-art research, necessary tools for modeling, and control.
Author | : M. Vukobratovic |
Publisher | : Springer |
Total Pages | : 404 |
Release | : 1985-09-02 |
Genre | : Computers |
ISBN | : |
Download Non-Adaptive and Adaptive Control of Manipulation Robots Book in PDF, ePub and Kindle
The material presented in this monograph is a logical continuation of research results achieved in the control of manipulation robots. This is in a way, a synthesis of many-year research efforts of the associates of Robotics Department, Mihailo Pupin Institute, in the field of dynamic control.of robotic systems. As in Vol. 2 of this Series, all results rely on the mathematical models of dynamics of active spatial mechanisms which offer the possibility for adequate dynamic control of manipula tion robots. Compared with Vol. 2, this monograph has three essential new character istics, and a variety of new tasks arising in the control of robots which have been formulated and solved for the first time. One of these novelties is nonadaptive control synthesized for the case of large variations in payload parameters, under the condition that the practical stability of the overall system is satisfied. Such a case of control synthesis meets the actual today's needs in industrial robot applications. The second characteristic of the monograph is the efficient adaptive control algorithm based on decentralized control structure intended for tasks in which parameter variations cannot be specified in advance. To be objective, this is not the case in industrial robotics today. Thus, nonadaptive control with and without a particular parameter variation is supplemented by adaptive dynamic control algorithms which will cer tainly be applicable in the future industrial practice when parametric identification of workpieces will be required.
Author | : Kwanho You |
Publisher | : BoD – Books on Demand |
Total Pages | : 382 |
Release | : 2009-01-01 |
Genre | : Technology & Engineering |
ISBN | : 9537619478 |
Download Adaptive Control Book in PDF, ePub and Kindle
Adaptive control has been a remarkable field for industrial and academic research since 1950s. Since more and more adaptive algorithms are applied in various control applications, it is becoming very important for practical implementation. As it can be confirmed from the increasing number of conferences and journals on adaptive control topics, it is certain that the adaptive control is a significant guidance for technology development.The authors the chapters in this book are professionals in their areas and their recent research results are presented in this book which will also provide new ideas for improved performance of various control application problems.
Author | : Nikolai Michailovich Filatov |
Publisher | : Springer Science & Business Media |
Total Pages | : 258 |
Release | : 2004-04-20 |
Genre | : Technology & Engineering |
ISBN | : 9783540213734 |
Download Adaptive Dual Control Book in PDF, ePub and Kindle
This monograph demonstrates how the performance of various well-known adaptive controllers can be improved significantly using the dual effect. The modifications to incorporate dual control are realized separately and independently of the main adaptive controller without complicating the algorithms. A new bicriterial approach for dual control is developed and applied to various types of popular linear and nonlinear adaptive controllers. Practical applications of the designed controllers to several real-time problems are presented. This monograph is the first book providing a complete exposition on the dual control problem from the inception in the early 1960s to the present state of the art aiming at students and researchers in adaptive control as well as design engineers in industry.
Author | : Gang Tao |
Publisher | : Springer Science & Business Media |
Total Pages | : 425 |
Release | : 2013-04-17 |
Genre | : Technology & Engineering |
ISBN | : 144713687X |
Download Adaptive Control of Nonsmooth Dynamic Systems Book in PDF, ePub and Kindle
Many of the non-smooth, non-linear phenomena covered in this well-balanced book are of vital importance in almost any field of engineering. Contributors from all over the world ensure that no one area’s slant on the subjects predominates.
Author | : Howard Kaufman |
Publisher | : Springer Science & Business Media |
Total Pages | : 380 |
Release | : 2012-12-06 |
Genre | : Technology & Engineering |
ISBN | : 146840217X |
Download Direct Adaptive Control Algorithms: Book in PDF, ePub and Kindle
Suitable either as a reference or as a text for a graduate course in adaptive control systems, this book is a self-contained compendium of easily implementable adaptive control algorithms that have been developed and applied by the authors for over 10 years. These algorithms do not require explicit process parameter identification and have been successfully applied to a wide variety of engineering problems including flexible structure control, blood pressure control and robotics. In general, these algorithms are suitable for a wide class of multiple input-output control systems containing significant uncertainty as well as disturbances.
Author | : Alessandro Astolfi |
Publisher | : Springer Science & Business Media |
Total Pages | : 302 |
Release | : 2007-12-06 |
Genre | : Technology & Engineering |
ISBN | : 1848000669 |
Download Nonlinear and Adaptive Control with Applications Book in PDF, ePub and Kindle
The authors here provide a detailed treatment of the design of robust adaptive controllers for nonlinear systems with uncertainties. They employ a new tool based on the ideas of system immersion and manifold invariance. New algorithms are delivered for the construction of robust asymptotically-stabilizing and adaptive control laws for nonlinear systems. The methods proposed lead to modular schemes that are easier to tune than their counterparts obtained from Lyapunov redesign.