Identification And Self Adaptive Control PDF Download
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Author | : W. D. T. Davies |
Publisher | : John Wiley & Sons |
Total Pages | : 404 |
Release | : 1970 |
Genre | : Technology & Engineering |
ISBN | : |
Download System Identification for Self-adaptive Control Book in PDF, ePub and Kindle
Author | : W. D. T. Davies |
Publisher | : |
Total Pages | : 380 |
Release | : 1970 |
Genre | : |
ISBN | : |
Download System Identification for Self-adaptive Control. Davies Book in PDF, ePub and Kindle
Author | : Celal Batur |
Publisher | : |
Total Pages | : |
Release | : 1975 |
Genre | : |
ISBN | : |
Download Identification and Self-adaptive Control Book in PDF, ePub and Kindle
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 | : Karl J. Åström |
Publisher | : Courier Corporation |
Total Pages | : 596 |
Release | : 2013-04-26 |
Genre | : Technology & Engineering |
ISBN | : 0486319148 |
Download Adaptive Control Book in PDF, ePub and Kindle
Suitable for advanced undergraduates and graduate students, this overview introduces theoretical and practical aspects of adaptive control, with emphasis on deterministic and stochastic viewpoints. 1995 edition.
Author | : Shankar Sastry |
Publisher | : Courier Corporation |
Total Pages | : 402 |
Release | : 2011-01-01 |
Genre | : Technology & Engineering |
ISBN | : 0486482022 |
Download Adaptive Control Book in PDF, ePub and Kindle
This volume surveys the major results and techniques of analysis in the field of adaptive control. Focusing on linear, continuous time, single-input, single-output systems, the authors offer a clear, conceptual presentation of adaptive methods, enabling a critical evaluation of these techniques and suggesting avenues of further development. 1989 edition.
Author | : P. H. Hammond |
Publisher | : Springer |
Total Pages | : 360 |
Release | : 2013-11-11 |
Genre | : Technology & Engineering |
ISBN | : 1489962891 |
Download Theory of Self-Adaptive Control Systems Book in PDF, ePub and Kindle
Author | : Eugene Lavretsky |
Publisher | : Springer Science & Business Media |
Total Pages | : 506 |
Release | : 2012-11-13 |
Genre | : Technology & Engineering |
ISBN | : 1447143965 |
Download Robust and Adaptive Control Book in PDF, ePub and Kindle
Robust and Adaptive Control shows the reader how to produce consistent and accurate controllers that operate in the presence of uncertainties and unforeseen events. Driven by aerospace applications the focus of the book is primarily on continuous-dynamical systems. The text is a three-part treatment, beginning with robust and optimal linear control methods and moving on to a self-contained presentation of the design and analysis of model reference adaptive control (MRAC) for nonlinear uncertain dynamical systems. Recent extensions and modifications to MRAC design are included, as are guidelines for combining robust optimal and MRAC controllers. Features of the text include: · case studies that demonstrate the benefits of robust and adaptive control for piloted, autonomous and experimental aerial platforms; · detailed background material for each chapter to motivate theoretical developments; · realistic examples and simulation data illustrating key features of the methods described; and · problem solutions for instructors and MATLAB® code provided electronically. The theoretical content and practical applications reported address real-life aerospace problems, being based on numerous transitions of control-theoretic results into operational systems and airborne vehicles that are drawn from the authors’ extensive professional experience with The Boeing Company. The systems covered are challenging, often open-loop unstable, with uncertainties in their dynamics, and thus requiring both persistently reliable control and the ability to track commands either from a pilot or a guidance computer. Readers are assumed to have a basic understanding of root locus, Bode diagrams, and Nyquist plots, as well as linear algebra, ordinary differential equations, and the use of state-space methods in analysis and modeling of dynamical systems. Robust and Adaptive Control is intended to methodically teach senior undergraduate and graduate students how to construct stable and predictable control algorithms for realistic industrial applications. Practicing engineers and academic researchers will also find the book of great instructional value.
Author | : H. Wilson |
Publisher | : |
Total Pages | : |
Release | : 1971 |
Genre | : |
ISBN | : |
Download A Study of the Correlation Techniques Applied to System Identification and Self-adaptive Control Systems Book in PDF, ePub and Kindle
Author | : P. R. Kumar |
Publisher | : SIAM |
Total Pages | : 371 |
Release | : 2015-12-15 |
Genre | : Mathematics |
ISBN | : 1611974259 |
Download Stochastic Systems Book in PDF, ePub and Kindle
Since its origins in the 1940s, the subject of decision making under uncertainty has grown into a diversified area with application in several branches of engineering and in those areas of the social sciences concerned with policy analysis and prescription. These approaches required a computing capacity too expensive for the time, until the ability to collect and process huge quantities of data engendered an explosion of work in the area. This book provides succinct and rigorous treatment of the foundations of stochastic control; a unified approach to filtering, estimation, prediction, and stochastic and adaptive control; and the conceptual framework necessary to understand current trends in stochastic control, data mining, machine learning, and robotics.