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Author : Yongliang Zhu
Publisher :
Page : 268 pages
File Size : 19,43 MB
Release : 2001
Category :
ISBN :
Author : Gang Tao
Publisher : Springer Science & Business Media
Page : 425 pages
File Size : 50,43 MB
Release : 2013-04-17
Category : Technology & Engineering
ISBN : 144713687X
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 : An-chyau Huang
Publisher : World Scientific
Page : 229 pages
File Size : 29,19 MB
Release : 2015-01-29
Category : Technology & Engineering
ISBN : 9814663565
In this book, we collected recent results on the control of underactuated mechanical systems subject to internal uncertainties and external disturbances. The strategy developed is so universal that it is not restricted to a specific system but a large class of underactuated systems. Several benchmark systems are studied in this book, including detailed literature review, system dynamics derivation, control problem formulation, and simulation verification. The control strategy developed in chapter 4 is able to stabilize all these benchmark systems with satisfactory performance regardless of the underactuated dynamics and various uncertainties. The book is written as a text suitable for graduate students in the advanced course for the control of underactuated systems. It also provides valuable tools for researchers and practicing engineers working on the control of underactuated mechanical systems.
Author : Carlos A. Canudas de Wit
Publisher : Elsevier Publishing Company
Page : 292 pages
File Size : 21,17 MB
Release : 1988
Category : Technology & Engineering
ISBN :
Adaptive control has been considered as an alternative in designing high-performance control systems, from the beginning of the 1950s. Since then, most of the adaptive control schemes have been formulated either in the continuous-time or in the discrete-time framework. Both approaches commonly use black-box'' models for describing the process to be controlled; models with known structure but unknown parameters. These models have the advantage that they are general but also the disadvantage that many parameters have to be estimated. There are in practice, however, many adaptive problems where the system can be described as partially known in the sense that part of the system dynamics is known and another part unknown. This is the kind of system considered in this book. Most of the adaptive algorithms that are reliable - in the sense that they guarantee closed-loop stability and some performance behaviour - require to a certain extent some system knowledge and a checking procedure for the caution update of the parameter estimates.
Author : Claudiu Iurian
Publisher :
Page : 96 pages
File Size : 17,17 MB
Release : 2007
Category :
ISBN :
Author : Jing Zhou
Publisher : CRC Press
Page : 250 pages
File Size : 43,88 MB
Release : 2021-12-14
Category : Technology & Engineering
ISBN : 1000487768
This book presents a series of innovative technologies and research results on adaptive control of dynamic systems with quantization, uncertainty, and nonlinearity, including the theoretical success and practical development such as the approaches for stability analysis, the compensation of quantization, the treatment of subsystem interactions, and the improvement of system tracking and transient performance. Novel solutions by adopting backstepping design tools to a number of hotspots and challenging problems in the area of adaptive control are provided. In the first three chapters, the general design procedures and stability analysis of backstepping controllers and the basic descriptions and properties of quantizers are introduced as preliminary knowledge for this book. In the remainder of this book, adaptive control schemes are introduced to compensate for the effects of input quantization, state quantization, both input and state/output quantization for uncertain nonlinear systems and are applied to helicopter systems and DC Microgrid. Discussion remarks are provided in each chapter highlighting new approaches and contributions to emphasize the novelty of the presented design and analysis methods. Simulation results are also given in each chapter to show the effectiveness of these methods. This book is helpful to learn and understand the fundamental backstepping schemes for state feedback control and output feedback control. It can be used as a reference book or a textbook on adaptive quantized control for students with some background in feedback control systems. Researchers, graduate students, and engineers in the fields of control, information, and communication, electrical engineering, mechanical engineering, computer science, and others will benefit from this book.
Author : Teresa Zielinska
Publisher : Springer Science & Business Media
Page : 463 pages
File Size : 29,75 MB
Release : 2013-11-22
Category : Technology & Engineering
ISBN : 321138927X
The aim of this publication is to present the research results in robotics that are now state-of-the-art, and indicate the possible future lines of development. To effectively work and cooperate with us, robots must exhibit abilities that are comparable to those of humans. The book describes the ongoing efforts to design and develop human-friendly robotic systems that can safely and effectively interact and work with humans.
Author : T.S. Durrani
Publisher : Elsevier
Page : 629 pages
File Size : 22,45 MB
Release : 2014-06-28
Category : Technology & Engineering
ISBN : 1483294242
The Symposium covered three major areas: adaptive control, identification and signal processing. In all three, new developments were discussed covering both theoretical and applications research. Within the subject area of adaptive control the discussion centred around the challenges of robust control design to unmodelled dynamics, robust parameter estimation and enhanced performance from the estimator, while the papers on identification took the theme of it being a bridge between adaptive control and signal processing. The final area looked at two aspects of signal processing: recursive estimation and adaptive filters.
Author : Marcio S. de Queiroz
Publisher : Springer Science & Business Media
Page : 321 pages
File Size : 33,20 MB
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 1461213525
The design of nonlinear controllers for mechanical systems has been an ex tremely active area of research in the last two decades. From a theoretical point of view, this attention can be attributed to their interesting dynamic behavior, which makes them suitable benchmarks for nonlinear control the oreticians. On the other hand, recent technological advances have produced many real-world engineering applications that require the automatic con trol of mechanical systems. the mechanism for de Often, Lyapunov-based techniques are utilized as veloping different nonlinear control structures for mechanical systems. The allure of the Lyapunov-based framework for mechanical system control de sign can most likely be assigned to the fact that Lyapunov function candi dates can often be crafted from physical insight into the mechanics of the system. That is, despite the nonlinearities, couplings, and/or the flexible effects associated with the system, Lyapunov-based techniques can often be used to analyze the stability of the closed-loop system by using an energy like function as the Lyapunov function candidate. In practice, the design procedure often tends to be an iterative process that results in the death of many trees. That is, the controller and energy-like function are often constructed in concert to foster an advantageous stability property and/or robustness property. Fortunately, over the last 15 years, many system the ory and control researchers have labored in this area to produce various design tools that can be applied in a variety of situations.
Author : Zhidong Deng
Publisher : Springer
Page : 569 pages
File Size : 42,78 MB
Release : 2015-04-20
Category : Technology & Engineering
ISBN : 3662464632
Proceedings of the 2015 Chinese Intelligent Automation Conference presents selected research papers from the CIAC’15, held in Fuzhou, China. The topics include adaptive control, fuzzy control, neural network based control, knowledge based control, hybrid intelligent control, learning control, evolutionary mechanism based control, multi-sensor integration, failure diagnosis, reconfigurable control, etc. Engineers and researchers from academia, industry and the government can gain valuable insights into interdisciplinary solutions in the field of intelligent automation.