Control of Complex Systems

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  • Author : Sarangapani Jagannathan
  • Publisher : Butterworth-Heinemann
  • Pages : 762 pages
  • ISBN : 9780128052464
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Control of Complex Systems

Download or Read online Control of Complex Systems full in PDF, ePub and kindle. this book written by Sarangapani Jagannathan and published by Butterworth-Heinemann which was released on 29 July 2016 with total page 762 pages. We cannot guarantee that Control of Complex Systems book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. In the era of cyber-physical systems, the area of control of complex systems has grown to be one of the hardest in terms of algorithmic design techniques and analytical tools. The 23 chapters, written by international specialists in the field, cover a variety of interests within the broader field of learning, adaptation, optimization and networked control. The editors have grouped these into the following 5 sections: Introduction and Background on Control Theory, Adaptive Control and Neuroscience, Adaptive Learning Algorithms, Cyber-Physical Systems and Cooperative Control, Applications . The diversity of the research presented gives the reader a unique opportunity to explore a comprehensive overview of a field of great interest to control and system theorists. This book is intended for researchers and control engineers in machine learning, adaptive control, optimization and automatic control systems, including Electrical Engineers, Computer Science Engineers, Mechanical Engineers, Aerospace/Automotive Engineers, and Industrial Engineers. It could be used as a text or reference for advanced courses in complex control systems. Collection of chapters from several well-known professors and researchers that will showcase their recent work Presents different state-of-the-art control approaches and theory for complex systems Gives algorithms that take into consideration the presence of modelling uncertainties, the unavailability of the model, the possibility of cooperative/non-cooperative goals and malicious attacks compromising the security of networked teams Real system examples and figures throughout, make ideas concrete Includes chapters from several well-known professors and researchers that showcases their recent workPresents different state-of-the-art control approaches and theory for complex systemsExplores the presence of modelling uncertainties, the unavailability of the model, the possibility of cooperative/non-cooperative goals, and malicious attacks compromising the security of networked teamsServes as a helpful reference for researchers and control engineers working with machine learning, adaptive control, and automatic control systems"

Control of Complex Systems

Control of Complex Systems
  • Author : Sarangapani Jagannathan
  • Publisher : Butterworth-Heinemann
  • Release : 29 July 2016
GET THIS BOOK Control of Complex Systems

In the era of cyber-physical systems, the area of control of complex systems has grown to be one of the hardest in terms of algorithmic design techniques and analytical tools. The 23 chapters, written by international specialists in the field, cover a variety of interests within the broader field of learning, adaptation, optimization and networked control. The editors have grouped these into the following 5 sections: Introduction and Background on Control Theory, Adaptive Control and Neuroscience, Adaptive Learning Algorithms, Cyber-Physical Systems and

Nonlinear and Adaptive Control of Complex Systems

Nonlinear and Adaptive Control of Complex Systems
  • Author : A.L. Fradkov,I.V. Miroshnik,V.O. Nikiforov
  • Publisher : Springer Science & Business Media
  • Release : 31 July 1999
GET THIS BOOK Nonlinear and Adaptive Control of Complex Systems

This volume presents a theoretical framework and control methodology for a class of complex dynamical systems characterised by high state space dimension, multiple inputs and outputs, significant nonlinearity, parametric uncertainty, and unmodeled dynamics. A unique feature of the authors' approach is the combination of rigorous concepts and methods of nonlinear control (invariant and attracting submanifolds, Lyapunov functions, exact linearisation, passification) with approximate decomposition results based on singular perturbations and decentralisation. Some results published previously in the Russian literature and not

Control of Complex Systems

Control of Complex Systems
  • Author : Aleksandar Zecevic,Dragoslav D. Siljak
  • Publisher : Springer Science & Business Media
  • Release : 08 January 2010
GET THIS BOOK Control of Complex Systems

"Control of Complex Systems: Structural Constraints and Uncertainty" focuses on control design under information structure constraints, with a particular emphasis on large-scale systems. The complexity of such systems poses serious computational challenges and severely restricts the types of feedback laws that can be used in practice. This book systematically addresses the main issues, and provides a number of applications that illustrate potential design methods, most which use Linear Matrix Inequalities (LMIs), which have become a popular design tool over the

Analysis and Control of Complex Dynamical Systems

Analysis and Control of Complex Dynamical Systems
  • Author : Kazuyuki Aihara,Jun-ichi Imura,Tetsushi Ueta
  • Publisher : Springer
  • Release : 09 October 2016
GET THIS BOOK Analysis and Control of Complex Dynamical Systems

This book is the first to report on theoretical breakthroughs on control of complex dynamical systems developed by collaborative researchers in the two fields of dynamical systems theory and control theory. As well, its basic point of view is of three kinds of complexity: bifurcation phenomena subject to model uncertainty, complex behavior including periodic/quasi-periodic orbits as well as chaotic orbits, and network complexity emerging from dynamical interactions between subsystems. Analysis and Control of Complex Dynamical Systems offers a valuable

Control of Complex Systems

Control of Complex Systems
  • Author : H. Abou-Kandil,M. Drouin,M. Mariton
  • Publisher : Springer Science & Business Media
  • Release : 29 June 2013
GET THIS BOOK Control of Complex Systems

Since the begining of the sixties, control theorists have developed a large body of knowledge concerning complex or large-scale systems theory. Using the state space approach, their purpose was to extend methods to cope with the increasingly sophisticated automation needs of man-made systems. Despite several remarkable contributions, and some successful applications, it can be stated that this theory has not yet become an engineering tool. On the other hand, the emergence of cheap and reliable microprocessors has profoundly transformed industrial

Collectives and the Design of Complex Systems

Collectives and the Design of Complex Systems
  • Author : Kagan Tumer,David Wolpert
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
GET THIS BOOK Collectives and the Design of Complex Systems

Many complex systems found in nature can be viewed as function optimizers. In particular, they can be viewed as such optimizers of functions in extremely high dimensional spaces. Given the difficulty of performing such high-dimensional op timization with modern computers, there has been a lot of exploration of computa tional algorithms that try to emulate those naturally-occurring function optimizers. Examples include simulated annealing (SA [15,18]), genetic algorithms (GAs) and evolutionary computation [2,3,9,11,20-22,24,28]. The ultimate goal of this work is an algorithm

Modeling and Control of Complex Systems

Modeling and Control of Complex Systems
  • Author : Petros A. Ioannou,Andreas Pitsillides
  • Publisher : CRC Press
  • Release : 26 December 2007
GET THIS BOOK Modeling and Control of Complex Systems

Comprehension of complex systems comes from an understanding of not only the behavior of constituent elements but how they act together to form the behavior of the whole. However, given the multidisciplinary nature of complex systems, the scattering of information across different areas creates a chaotic situation for those trying to understand possible solutions and applications. Modeling and Control of Complex Systems brings together a number of research experts to present some of their latest approaches and future research directions

Predictive Approaches to Control of Complex Systems

Predictive Approaches to Control of Complex Systems
  • Author : Gorazd Karer,Igor Škrjanc
  • Publisher : Springer
  • Release : 20 September 2012
GET THIS BOOK Predictive Approaches to Control of Complex Systems

A predictive control algorithm uses a model of the controlled system to predict the system behavior for various input scenarios and determines the most appropriate inputs accordingly. Predictive controllers are suitable for a wide range of systems; therefore, their advantages are especially evident when dealing with relatively complex systems, such as nonlinear, constrained, hybrid, multivariate systems etc. However, designing a predictive control strategy for a complex system is generally a difficult task, because all relevant dynamical phenomena have to be

Developments in Advanced Control and Intelligent Automation for Complex Systems

Developments in Advanced Control and Intelligent Automation for Complex Systems
  • Author : Min Wu,Witold Pedrycz,Luefeng Chen
  • Publisher : Springer
  • Release : 27 March 2021
GET THIS BOOK Developments in Advanced Control and Intelligent Automation for Complex Systems

This book discusses the developments in the advanced control and intelligent automation for complex systems completed over the last two decades, including the progress in advanced control theory and method, intelligent control and decision-making of complex metallurgical processes, intelligent systems and machine learning, intelligent robot systems design and control, and prediction and control technology for renewable energy. With the depth and breadth of coverage of this book, it serves as a useful reference for engineers in the field of automation

Nonlinear and Adaptive Control of Complex Systems

Nonlinear and Adaptive Control of Complex Systems
  • Author : A.L. Fradkov,I.V. Miroshnik,V.O. Nikiforov
  • Publisher : Springer Science & Business Media
  • Release : 29 June 2013
GET THIS BOOK Nonlinear and Adaptive Control of Complex Systems

This volume presents a theoretical framework and control methodology for a class of complex dynamical systems characterised by high state space dimension, multiple inputs and outputs, significant nonlinearity, parametric uncertainty, and unmodeled dynamics. A unique feature of the authors' approach is the combination of rigorous concepts and methods of nonlinear control (invariant and attracting submanifolds, Lyapunov functions, exact linearisation, passification) with approximate decomposition results based on singular perturbations and decentralisation. Some results published previously in the Russian literature and not