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Modeling and Control of Complex Systems

2007-12-26 Medical
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Release : 2007-12-26
Genre : Medical
Kind : eBook
Book Rating : 865/5 ( reviews)

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Book Synopsis Modeling and Control of Complex Systems by : Petros A. Ioannou

Download or read book Modeling and Control of Complex Systems written by Petros A. Ioannou. This book was released on 2007-12-26. Available in PDF, EPUB and Kindle. Book excerpt: 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 pos

Control of Complex Systems

2011-06-28 Technology & Engineering
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Release : 2011-06-28
Genre : Technology & Engineering
Kind : eBook
Book Rating : 491/5 ( reviews)

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Book Synopsis Control of Complex Systems by : Karl J. Aström

Download or read book Control of Complex Systems written by Karl J. Aström. This book was released on 2011-06-28. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Modeling and Control of Complex Physical Systems

2009-10-15 Technology & Engineering
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Release : 2009-10-15
Genre : Technology & Engineering
Kind : eBook
Book Rating : 96X/5 ( reviews)

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Book Synopsis Modeling and Control of Complex Physical Systems by : Vincent Duindam

Download or read book Modeling and Control of Complex Physical Systems written by Vincent Duindam. This book was released on 2009-10-15. Available in PDF, EPUB and Kindle. Book excerpt: 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, and extends it to port-Hamiltonian systems. This generic paradigm is applied to various physical domains, showing its power and unifying flexibility for real multi-domain systems.

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

2020-12-05 Mathematics
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Release : 2020-12-05
Genre : Mathematics
Kind : eBook
Book Rating : 905/5 ( reviews)

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Book Synopsis Handbook of Research on Modeling, Analysis, and Control of Complex Systems by : Azar, Ahmad Taher

Download or read book Handbook of Research on Modeling, Analysis, and Control of Complex Systems written by Azar, Ahmad Taher. This book was released on 2020-12-05. Available in PDF, EPUB and Kindle. Book excerpt: 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 a wide range of areas including the modeling, analysis, and control of dynamic systems, as well as explores related applications. The book acts as a forum for researchers seeking to understand the latest theory findings and software problem experiments. Covering topics that include chaotic maps, predictive modeling, random bit generation, and software bug prediction, this book is ideal for professionals, academicians, researchers, and students in the fields of electrical engineering, computer science, control engineering, robotics, power systems, and biomedical engineering.

Predictive Approaches to Control of Complex Systems

2012-09-20 Technology & Engineering
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Release : 2012-09-20
Genre : Technology & Engineering
Kind : eBook
Book Rating : 476/5 ( reviews)

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Book Synopsis Predictive Approaches to Control of Complex Systems by : Gorazd Karer

Download or read book Predictive Approaches to Control of Complex Systems written by Gorazd Karer. This book was released on 2012-09-20. Available in PDF, EPUB and Kindle. Book excerpt: 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 considered. Establishing a suitable model of the system is an essential part of predictive control design. Classic modeling and identification approaches based on linear-systems theory are generally inappropriate for complex systems; hence, models that are able to appropriately consider complex dynamical properties have to be employed in a predictive control algorithm. This book first introduces some modeling frameworks, which can encompass the most frequently encountered complex dynamical phenomena and are practically applicable in the proposed predictive control approaches. Furthermore, unsupervised learning methods that can be used for complex-system identification are treated. Finally, several useful predictive control algorithms for complex systems are proposed and their particular advantages and drawbacks are discussed. The presented modeling, identification and control approaches are complemented by illustrative examples. The book is aimed towards researches and postgraduate students interested in modeling, identification and control, as well as towards control engineers needing practically usable advanced control methods for complex systems.

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