Control of Complex Systems

The world of artificial systems is reaching complexity levels that es cape human understanding. Surface traffic, electricity distribution, air planes, mobile communications, etc. , are examples that demonstrate that we are running into problems that are beyond classical scientific or engi neering knowledge. There is an ongoing world-wide effort to understand these systems and develop models that can capture its behavior. The reason for this work is clear, if our lack of understanding deepens, we will lose our capability to control these systems and make they behave as we want. Researchers from many different fields are trying to understand and develop theories for complex man-made systems. This book presents re search from the perspective of control and systems theory. The book has grown out of activities in the research program Control of Complex Systems (COSY). The program has been sponsored by the Eu ropean Science Foundation (ESF) which for 25 years has been one of the leading players in stimulating scientific research. ESF is a European asso ciation of more than 60 leading national science agencies spanning more than 20 countries. ESF covers has standing committees in Medical Sci ences, Life and Environmental Sciences, Physical and Engineering Sci ences, Humanities and Social Sciences. The COSY program was ESF's first activity in the Engineering Sciences. The program run for a period of five years starting January 1995.

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  • Author : Karl J. Aström
  • Publisher : Springer Science & Business Media
  • Pages : 482 pages
  • ISBN : 1447103491
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKControl of Complex Systems

Control of Complex Systems

Control of Complex Systems
  • Author : Karl J. Aström,Pedro Albertos,Mogens Blanke,Alberto Isidori,Walther Schaufelberger,Ricardo Sanz
  • Publisher : Springer Science & Business Media
  • Release : 28 June 2011
GET THIS BOOKControl of Complex Systems

The world of artificial systems is reaching complexity levels that es cape human understanding. Surface traffic, electricity distribution, air planes, mobile communications, etc. , are examples that demonstrate that we are running into problems that are beyond classical scientific or engi neering knowledge. There is an ongoing world-wide effort to understand these systems and develop models that can capture its behavior. The reason for this work is clear, if our lack of understanding deepens, we will lose our capability to control

Control of Complex Systems

Control of Complex Systems
  • Author : Kyriakos Vamvoudakis,Sarangapani Jagannathan
  • Publisher : Butterworth-Heinemann
  • Release : 27 July 2016
GET THIS BOOKControl 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

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 BOOKModeling 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

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 BOOKControl 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

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 BOOKControl 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

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 BOOKNonlinear 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

Complex Systems and Networks

Complex Systems and Networks
  • Author : Jinhu Lü,Xinghuo Yu,Guanrong Chen,Wenwu Yu
  • Publisher : Springer
  • Release : 14 August 2015
GET THIS BOOKComplex Systems and Networks

This elementary book provides some state-of-the-art research results on broad disciplinary sciences on complex networks. It presents an in-depth study with detailed description of dynamics, controls and applications of complex networks. The contents of this book can be summarized as follows. First, the dynamics of complex networks, for example, the cluster dynamic analysis by using kernel spectral methods, community detection algorithms in bipartite networks, epidemiological modeling with demographics and epidemic spreading on multi-layer networks, are studied. Second, the controls of

Philosophy of Complex Systems

Philosophy of Complex Systems
  • Author : Anonim
  • Publisher : Elsevier
  • Release : 23 May 2011
GET THIS BOOKPhilosophy of Complex Systems

The domain of nonlinear dynamical systems and its mathematical underpinnings has been developing exponentially for a century, the last 35 years seeing an outpouring of new ideas and applications and a concomitant confluence with ideas of complex systems and their applications from irreversible thermodynamics. A few examples are in meteorology, ecological dynamics, and social and economic dynamics. These new ideas have profound implications for our understanding and practice in domains involving complexity, predictability and determinism, equilibrium, control, planning, individuality, responsibility and

Cooperative Control of Complex Network Systems with Dynamic Topologies

Cooperative Control of Complex Network Systems with Dynamic Topologies
  • Author : Guanghui Wen,Wenwu Yu,Yuezu Lv,Peijun Wang
  • Publisher : CRC Press
  • Release : 02 July 2021
GET THIS BOOKCooperative Control of Complex Network Systems with Dynamic Topologies

Far from being separate entities, many social and engineering systems can be considered as complex network systems (CNSs) associated with closely linked interactions with neighbouring entities such as the Internet and power grids. Roughly speaking, a CNS refers to a networking system consisting of lots of interactional individuals, exhibiting fascinating collective behaviour that cannot always be anticipated from the inherent properties of the individuals themselves. As one of the most fundamental examples of cooperative behaviour, consensus within CNSs (or the

Handbook of Research on Modeling, Analysis, and Control of Complex Systems

Handbook of Research on Modeling, Analysis, and Control of Complex Systems
  • Author : Azar, Ahmad Taher,Kamal, Nashwa Ahmad
  • Publisher : IGI Global
  • Release : 05 December 2020
GET THIS BOOKHandbook of Research on Modeling, Analysis, and Control of Complex Systems

The current literature on dynamic systems is quite comprehensive, and system theory’s mathematical jargon can remain quite complicated. Thus, there is a need for a compendium of accessible research that involves the broad range of fields that dynamic systems can cover, including engineering, life sciences, and the environment, and which can connect researchers in these fields. The Handbook of Research on Modeling, Analysis, and Control of Complex Systems is a comprehensive reference book that describes the recent developments in

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 BOOKPredictive 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

Design and Control of Self-organizing Systems

Design and Control of Self-organizing Systems
  • Author : Carlos Gershenson
  • Publisher : CopIt ArXives
  • Release : 05 September 2007
GET THIS BOOKDesign and Control of Self-organizing Systems

Complex systems are usually difficult to design and control. There are several particular methods for coping with complexity, but there is no general approach to build complex systems. In this book I propose a methodology to aid engineers in the design and control of complex systems. This is based on the description of systems as self-organizing. Starting from the agent metaphor, the methodology proposes a conceptual framework and a series of steps to follow to find proper mechanisms that will

Modeling and Control of Complex Physical Systems

Modeling and Control of Complex Physical Systems
  • Author : Vincent Duindam,Alessandro Macchelli,Stefano Stramigioli,Herman Bruyninckx
  • Publisher : Springer Science & Business Media
  • Release : 15 October 2009
GET THIS BOOKModeling and Control of Complex Physical Systems

Energy exchange is a major foundation of the dynamics of physical systems, and, hence, in the study of complex multi-domain systems, methodologies that explicitly describe the topology of energy exchanges are instrumental in structuring the modeling and the computation of the system's dynamics and its control. This book is the outcome of the European Project "Geoplex" (FP5 IST-2001-34166) that studied and extended such system modeling and control methodologies. This unique book starts from the basic concept of port-based modeling,

Decision Control, Management, and Support in Adaptive and Complex Systems: Quantitative Models

Decision Control, Management, and Support in Adaptive and Complex Systems: Quantitative Models
  • Author : Pavlov, Yuri P.
  • Publisher : IGI Global
  • Release : 28 February 2013
GET THIS BOOKDecision Control, Management, and Support in Adaptive and Complex Systems: Quantitative Models

In order to ensure the criteria for monitoring and managing the various problems and design for decision control, a mathematical description of exact human knowledge is required for the management of adaptive and complex systems. Decision Control, Management, and Support in Adaptive and Complex Systems: Quantitative Models presents an application and demonstration of a new mathematical technique for descriptions of complex systems. This comprehensive collection contains scientific results in the field of contemporary approaches to adaptive decision making that is