Analysis and Control of Complex Dynamical Systems

Analysis and Control of Complex Dynamical Systems
Author :
Publisher : Springer
Total Pages : 215
Release :
ISBN-10 : 9784431550136
ISBN-13 : 4431550135
Rating : 4/5 (36 Downloads)

Book Synopsis Analysis and Control of Complex Dynamical Systems by : Kazuyuki Aihara

Download or read book Analysis and Control of Complex Dynamical Systems written by Kazuyuki Aihara and published by Springer. This book was released on 2015-03-20 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 resource for mathematicians, physicists, and biophysicists, as well as for researchers in nonlinear science and control engineering, allowing them to develop a better fundamental understanding of the analysis and control synthesis of such complex systems.

Nonlinear Pinning Control of Complex Dynamical Networks

Nonlinear Pinning Control of Complex Dynamical Networks
Author :
Publisher : CRC Press
Total Pages : 228
Release :
ISBN-10 : 9781000415193
ISBN-13 : 1000415198
Rating : 4/5 (93 Downloads)

Book Synopsis Nonlinear Pinning Control of Complex Dynamical Networks by : Edgar N. Sanchez

Download or read book Nonlinear Pinning Control of Complex Dynamical Networks written by Edgar N. Sanchez and published by CRC Press. This book was released on 2021-08-19 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents two nonlinear control strategies for complex dynamical networks. First, sliding-mode control is used, and then the inverse optimal control approach is employed. For both cases, model-based is considered in Chapter 3 and Chapter 5; then, Chapter 4 and Chapter 6 are based on determining a model for the unknow system using a recurrent neural network, using on-line extended Kalman filtering for learning. The book is organized in four sections. The first one covers mathematical preliminaries, with a brief review for complex networks, and the pinning methodology. Additionally, sliding-mode control and inverse optimal control are introduced. Neural network structures are also discussed along with a description of the high-order ones. The second section presents the analysis and simulation results for sliding-mode control for identical as well as non-identical nodes. The third section describes analysis and simulation results for inverse optimal control considering identical or non-identical nodes. Finally, the last section presents applications of these schemes, using gene regulatory networks and microgrids as examples.

Analysis And Control Of Complex Nonlinear Processes In Physics, Chemistry And Biology

Analysis And Control Of Complex Nonlinear Processes In Physics, Chemistry And Biology
Author :
Publisher : World Scientific
Total Pages : 453
Release :
ISBN-10 : 9789814475792
ISBN-13 : 9814475793
Rating : 4/5 (92 Downloads)

Book Synopsis Analysis And Control Of Complex Nonlinear Processes In Physics, Chemistry And Biology by : Lutz Schimansky-geier

Download or read book Analysis And Control Of Complex Nonlinear Processes In Physics, Chemistry And Biology written by Lutz Schimansky-geier and published by World Scientific. This book was released on 2007-01-30 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nonlinear dynamics of complex processes is an active research field with large numbers of publications in basic research, and broad applications from diverse fields of science. Nonlinear dynamics as manifested by deterministic and stochastic evolution models of complex behavior has entered statistical physics, physical chemistry, biophysics, geophysics, astrophysics, theoretical ecology, semiconductor physics and -optics, etc. This field of research has induced a new terminology in science connected with new questions, problems, solutions and methods. New scenarios have emerged for spatio-temporal structures in dynamical systems far from equilibrium. Their analysis and possible control are intriguing and challenging aspects of the current research.The duality of fundamental and applied research is a focal point of its main attractivity and fascination. Basic topics and foundations are always linked to concrete and precise examples. Models and measurements of complex nonlinear processes evoke and provoke new fundamental questions that diversify and broaden the mathematical concepts and tools. In return, new mathematical approaches to modeling and analysis enlarge the scope and efficiency of applied research.

Modeling, Analysis And Control Of Dynamical Systems With Friction And Impacts

Modeling, Analysis And Control Of Dynamical Systems With Friction And Impacts
Author :
Publisher : #N/A
Total Pages : 277
Release :
ISBN-10 : 9789813225305
ISBN-13 : 9813225300
Rating : 4/5 (05 Downloads)

Book Synopsis Modeling, Analysis And Control Of Dynamical Systems With Friction And Impacts by : Pawel Olejnik

Download or read book Modeling, Analysis And Control Of Dynamical Systems With Friction And Impacts written by Pawel Olejnik and published by #N/A. This book was released on 2017-07-07 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is aimed primarily towards physicists and mechanical engineers specializing in modeling, analysis, and control of discontinuous systems with friction and impacts. It fills a gap in the existing literature by offering an original contribution to the field of discontinuous mechanical systems based on mathematical and numerical modeling as well as the control of such systems. Each chapter provides the reader with both the theoretical background and results of verified and useful computations, including solutions of the problems of modeling and application of friction laws in numerical computations, results from finding and analyzing impact solutions, the analysis and control of dynamical systems with discontinuities, etc. The contents offer a smooth correspondence between science and engineering and will allow the reader to discover new ideas. Also emphasized is the unity of diverse branches of physics and mathematics towards understanding complex piecewise-smooth dynamical systems. Mathematical models presented will be important in numerical experiments, experimental measurements, and optimization problems found in applied mechanics.

Optimal Control And Forecasting Of Complex Dynamical Systems

Optimal Control And Forecasting Of Complex Dynamical Systems
Author :
Publisher : World Scientific
Total Pages : 213
Release :
ISBN-10 : 9789814478588
ISBN-13 : 981447858X
Rating : 4/5 (88 Downloads)

Book Synopsis Optimal Control And Forecasting Of Complex Dynamical Systems by : Ilya Grigorenko

Download or read book Optimal Control And Forecasting Of Complex Dynamical Systems written by Ilya Grigorenko and published by World Scientific. This book was released on 2006-03-06 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: This important book reviews applications of optimization and optimal control theory to modern problems in physics, nano-science and finance. The theory presented here can be efficiently applied to various problems, such as the determination of the optimal shape of a laser pulse to induce certain excitations in quantum systems, the optimal design of nanostructured materials and devices, or the control of chaotic systems and minimization of the forecast error for a given forecasting model (for example, artificial neural networks). Starting from a brief review of the history of variational calculus, the book discusses optimal control theory and global optimization using modern numerical techniques. Key elements of chaos theory and basics of fractional derivatives, which are useful in control and forecast of complex dynamical systems, are presented. The coverage includes several interdisciplinary problems to demonstrate the efficiency of the presented algorithms, and different methods of forecasting complex dynamics are discussed.

Data-Driven Science and Engineering

Data-Driven Science and Engineering
Author :
Publisher : Cambridge University Press
Total Pages : 615
Release :
ISBN-10 : 9781009098489
ISBN-13 : 1009098489
Rating : 4/5 (89 Downloads)

Book Synopsis Data-Driven Science and Engineering by : Steven L. Brunton

Download or read book Data-Driven Science and Engineering written by Steven L. Brunton and published by Cambridge University Press. This book was released on 2022-05-05 with total page 615 pages. Available in PDF, EPUB and Kindle. Book excerpt: A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLABĀ®.

Modeling and Control of Complex Physical Systems

Modeling and Control of Complex Physical Systems
Author :
Publisher : Springer Science & Business Media
Total Pages : 423
Release :
ISBN-10 : 9783642031960
ISBN-13 : 364203196X
Rating : 4/5 (60 Downloads)

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 and published by Springer Science & Business Media. This book was released on 2009-10-15 with total page 423 pages. 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.