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Books in Adaptive control

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Cooperative Control of Multi-Agent Systems

  • 1st Edition
  • March 25, 2020
  • Jianan Wang + 4 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 2 0 1 1 8 - 3
  • eBook
    9 7 8 - 0 - 1 2 - 8 2 0 4 4 5 - 0
Cooperative Control of Multi-Agent Systems: An Optimal and Robust Perspective reports and encourages technology transfer in the field of cooperative control of multi-agent systems. The book deals with UGVs, UAVs, UUVs and spacecraft, and more. It presents an extended exposition of the authors’ recent work on all aspects of multi-agent technology. Modelling and cooperative control of multi-agent systems are topics of great interest, across both academia (research and education) and industry (for real applications and end-users). Graduate students and researchers from a wide spectrum of specialties in electrical, mechanical or aerospace engineering fields will use this book as a key resource.

Learning-Based Adaptive Control

  • 1st Edition
  • July 11, 2016
  • Mouhacine Benosman
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 0 3 1 3 6 - 0
  • eBook
    9 7 8 - 0 - 1 2 - 8 0 3 1 5 1 - 3
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.

Adaptive Systems in Control and Signal Processing 1989

  • 1st Edition
  • June 28, 2014
  • T.S. Durrani + 3 more
  • English
  • eBook
    9 7 8 - 1 - 4 8 3 2 - 9 4 2 4 - 7
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.

Learning Automata

  • 1st Edition
  • June 28, 2014
  • K. Najim + 1 more
  • English
  • eBook
    9 7 8 - 1 - 4 8 3 2 - 9 9 4 0 - 2
Learning systems have made a significant impact on all areas of engineering problems. They are attractive methods for solving many problems which are too complex, highly non-linear, uncertain, incomplete or non-stationary, and have subtle and interactive exchanges with the environment where they operate. The main aim of the book is to give a systematic treatment of learning automata and to produce a guide to a wide variety of ideas and methods that can be used in learning systems, including enough theoretical material to enable the user of the relevant techniques and concepts to understand why and how they can be used. The book also contains the materials that are necessary for the understanding and development of learning automata for different purposes such as processes identification, optimization and control. Learning Automata: Theory and Applications may be recommended as a reference for courses on learning automata, modelling, control and optimization. The presentation is intended both for graduate students in control theory and statistics and for practising control engineers.

Energy Systems

  • 1st Edition
  • November 12, 2012
  • T. Ohta
  • English
  • eBook
    9 7 8 - 0 - 0 8 - 0 9 8 4 5 8 - 2
This book consists mainly of revised versions of the papers presentedat the "Energy Systems and Technologies: as Approached from Adaptive Complexity" symposium sessions during the 4th International Conference on "NewEnergy Systems and Conversions" (20-30 June 1999; Osaka University, Japan), as well assome pertinent additional research reports.In order to realise the adaptive complexity of a system, it is necessary to know the energy conversion mechanisms of the media. This book details a wide range of situations in which adaptive complexity can be applied and found, from predicting air-flow in a room to describing turbulence as a complex system. The idea of approaching both the study of energy systems and energy technologies from the adaptive complexity aspect is new, and still a very much developing field.These pioneering articles discuss not only previous, but also pending problems.

Modeling, Sensing and Control of Gas Metal Arc Welding

  • 1st Edition
  • June 11, 2003
  • S. Ozcelik + 1 more
  • D.S Naidu
  • English
  • eBook
    9 7 8 - 0 - 0 8 - 0 5 3 6 6 2 - 0
Arc welding is one of the key processes in industrial manufacturing, with welders using two types of processes - gas metal arc welding (GMAW) and gas tungsten arc welding (GTAW). This new book provides a survey-oriented account of the modeling, sensing, and automatic control of the GMAW process.Researchers are presented with the most recent information in the areas of modeling, sensing and automatic control of the GMAW process, collecting a number of original research results on the topic from the authors and colleagues.Providing an overview of a variety of topics, this book looks at the classification of various welding processes; the modeling aspects of GMAW; physics of welding; metal transfer characteristics; weld pool geometry; process voltages and variables; power supplies; sensing (sensors for arc length, weld penetration control, weld pool geometry, using optical and intelligent sensors); control techniques of PI, PID, multivariable control, adaptive control, and intelligent control. Finally, the book illustrates a case study presented by the authors and their students at Idaho State University, in collaboration with researchers at the Idaho National Engineering and Environment Laboratory.

Techniques for Adaptive Control

  • 1st Edition
  • October 17, 2002
  • Vance VanDoren
  • English
  • eBook
    9 7 8 - 0 - 0 8 - 0 5 4 2 2 5 - 6
Techniques for Adaptive Control compiles chapters from a team of expert contributors that allow readers to gain a perspective into a number of different approaches to adaptive control. In order to do this, each contributor provides an overview of a particular product, how it works, and reasons why a user would want it as well as an in depth explanation of their particular method.This is one of the latest technologies to emerge in the instrumentation and control field. These latest control methodologies offer a means to revolutionize plant and process efficiency, response time and profitability by allowing a process to be regulated by a form of rule-based AI, without human intervention.Rather than the common academic-based approach that books on this subject generally take, the contributions here outline practical applications of adaptive control technology allowing for a real look inside the industry and the new technologies available.

Adaptive Control Systems

  • 1st Edition
  • May 10, 1999
  • Gang Feng + 1 more
  • English
  • eBook
    9 7 8 - 0 - 0 8 - 0 4 9 8 6 0 - 7
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.