Modeling Control And Optimization Of Complex Systems
Download Modeling Control And Optimization Of Complex Systems full books in PDF, epub, and Kindle. Read online free Modeling Control And Optimization Of Complex Systems ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads.
Author |
: Weibo Gong |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 312 |
Release |
: 2012-12-06 |
ISBN-10 |
: 9781461511397 |
ISBN-13 |
: 1461511399 |
Rating |
: 4/5 (97 Downloads) |
Synopsis Modeling, Control and Optimization of Complex Systems by : Weibo Gong
Modeling, Control And Optimization Of Complex Systems is a collection of contributions from leading international researchers in the fields of dynamic systems, control theory, and modeling. These papers were presented at the Symposium on Modeling and Optimization of Complex Systems in honor of Larry Yu-Chi Ho in June 2001. They include exciting research topics such as: -modeling of complex systems, -power control in ad hoc wireless networks, -adaptive control using multiple models, -constrained control, -linear quadratic control, -discrete events, -Markov decision processes and reinforcement learning, -optimal control for discrete event and hybrid systems, -optimal representation and visualization of multivariate data and functions in low-dimensional spaces.
Author |
: Mikhail Posypkin |
Publisher |
: Mdpi AG |
Total Pages |
: 0 |
Release |
: 2023-06-26 |
ISBN-10 |
: 3036576401 |
ISBN-13 |
: 9783036576404 |
Rating |
: 4/5 (01 Downloads) |
Synopsis Control, Optimization, and Mathematical Modeling of Complex Systems by : Mikhail Posypkin
Complex systems have long been an integral part of modern life and can be encountered everywhere. Undertaking a comprehensive study of such systems is a challenging problem, one which is impossible to solve without the use of contemporary mathematical modeling techniques. Mathematical models form the basis for the optimal design and control of complex systems. The present reprint contains all the articles accepted and published in the Special Issue of Mathematics entitled "Control, Optimization, and Mathematical Modeling of Complex Systems". This Special Issue is focused on recent theoretical and computational studies of complex systems modeling, control, and optimization. The topics addressed in this Special Issue cover a wide range of areas, including numerical simulation in physical, social, and life sciences; the modeling and analysis of complex systems based on mathematical methods and AI/ML approaches; control problems in robotics; design optimization of complex systems, modeling in economics and social sciences; stochastic models in physics and engineering; mathematical models in material science; and high-performance computing for mathematical modeling. It is our hope that the scientific results presented in this reprint will serve as valuable sources of documentation and inspiration to those seeking to delve into complex systems modeling, control, and optimization and examine their wide-ranging applications.
Author |
: Petros A. Ioannou |
Publisher |
: CRC Press |
Total Pages |
: 552 |
Release |
: 2007-12-26 |
ISBN-10 |
: 9780849379864 |
ISBN-13 |
: 0849379865 |
Rating |
: 4/5 (64 Downloads) |
Synopsis Modeling and Control of Complex Systems by : Petros A. Ioannou
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
Author |
: Azar, Ahmad Taher |
Publisher |
: IGI Global |
Total Pages |
: 685 |
Release |
: 2020-12-05 |
ISBN-10 |
: 9781799857907 |
ISBN-13 |
: 1799857905 |
Rating |
: 4/5 (07 Downloads) |
Synopsis Handbook of Research on Modeling, Analysis, and Control of Complex Systems by : Azar, Ahmad Taher
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.
Author |
: Pekka Neittaanmäki |
Publisher |
: Springer |
Total Pages |
: 337 |
Release |
: 2015-10-07 |
ISBN-10 |
: 9783319235646 |
ISBN-13 |
: 3319235648 |
Rating |
: 4/5 (46 Downloads) |
Synopsis Mathematical Modeling and Optimization of Complex Structures by : Pekka Neittaanmäki
This volume contains selected papers in three closely related areas: mathematical modeling in mechanics, numerical analysis, and optimization methods. The papers are based upon talks presented on the International Conference for Mathematical Modeling and Optimization in Mechanics, held in Jyväskylä, Finland, March 6-7, 2014 dedicated to Prof. N. Banichuk on the occasion of his 70th birthday. The articles are written by well-known scientists working in computational mechanics and in optimization of complicated technical models. Also, the volume contains papers discussing the historical development, the state of the art, new ideas, and open problems arising in modern continuum mechanics and applied optimization problems. Several papers are concerned with mathematical problems in numerical analysis, which are also closely related to important mechanical models. The main topics treated include: * Computer simulation methods in mechanics, physics, and biology; * Variational problems and methods; minimization algorithms; * Optimal control problems with distributed and discrete control; * Shape optimization and shape design problems in science and engineering; * Sensitivity analysis and parameters optimization of complex systems.
Author |
: J. Dolezal |
Publisher |
: Springer |
Total Pages |
: 635 |
Release |
: 2013-06-05 |
ISBN-10 |
: 9780387348971 |
ISBN-13 |
: 0387348972 |
Rating |
: 4/5 (71 Downloads) |
Synopsis System Modelling and Optimization by : J. Dolezal
Proceedings volume contains carefully selected papers presented during the 17th IFIP Conference on System Modelling and Optimization. Optimization theory and practice, optimal control, system modelling, stochastic optimization, and technical and non-technical applications of the existing theory are among areas mostly addressed in the included papers. Main directions are treated in addition to several survey papers based on invited presentations of leading specialists in the respective fields. Publication provides state-of-the-art in the area of system theory and optimization and points out several new areas (e.g fuzzy set, neural nets), where classical optimization topics intersects with computer science methodology.
Author |
: Koichi Hashimoto |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 350 |
Release |
: 2012-12-06 |
ISBN-10 |
: 9781461200239 |
ISBN-13 |
: 1461200237 |
Rating |
: 4/5 (39 Downloads) |
Synopsis Control and Modeling of Complex Systems by : Koichi Hashimoto
Hidenori Kimura, renowned system and control theorist, turned 60 years of age in November, 2001. To celebrate this memorable occasion, his friends, collaborators, and former students gathered from all over the world and held a symposium in his honor on November 1 and 2, 2001, at the Sanjo Conference Hall at the University of Tokyo. Reflecting his current research interests, the symposium was entitled "Cybernetics in the 21st Century: Information and Complexity in Control Theory," and it drew nearly 150 attendees. There were twenty-five lectures, on which the present volume is based. Hidenori Kimura was born on November 3, 1941, in Tokyo, just prior to the outbreak of the Second World War. It is not hard to imagine, then, that his early days, like those of so many of his contemporaries, must have been difficult. Fortunately, the war ended in 1945, and his generation found itself thoroughly occupied with the rebuilding effort and with Japan's uphill journey in the last half-century. He entered the University of Tokyo in 1963, received a B. S. in 1965, an M. S. in 1967, and, in 1970, a Ph. D. degree for his dissertation "A Study of Differential Games. " After obtaining his doctorate, he joined the Department of Control En gineering at Osaka University as a research associate, and in 1973 he was promoted to an associate professor.
Author |
: Kyriakos Vamvoudakis |
Publisher |
: Butterworth-Heinemann |
Total Pages |
: 764 |
Release |
: 2016-07-27 |
ISBN-10 |
: 9780128054376 |
ISBN-13 |
: 0128054379 |
Rating |
: 4/5 (76 Downloads) |
Synopsis Control of Complex Systems by : Kyriakos Vamvoudakis
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 work - Presents different state-of-the-art control approaches and theory for complex systems - Explores 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 - Serves as a helpful reference for researchers and control engineers working with machine learning, adaptive control, and automatic control systems
Author |
: Ameer Hamza Khan |
Publisher |
: Springer Nature |
Total Pages |
: 91 |
Release |
: 2020-10-29 |
ISBN-10 |
: 9789811593925 |
ISBN-13 |
: 9811593922 |
Rating |
: 4/5 (25 Downloads) |
Synopsis Management and Intelligent Decision-Making in Complex Systems: An Optimization-Driven Approach by : Ameer Hamza Khan
In this book, the authors focus on three aspects related to the development of articulated agents: presenting an overview of high-level control algorithms for intelligent decision-making of articulated agents, experimental study of the properties of soft agents as the end-effector of articulated agents, and accurate management of low-level torque-control loop to accurately control the articulated agents. This book summarizes recent advances related to articulated agents. The motive behind the book is to trigger theoretical and practical research studies related to articulated agents.
Author |
: Thomas Rauschenbach |
Publisher |
: Springer |
Total Pages |
: 308 |
Release |
: 2015-12-14 |
ISBN-10 |
: 9783642160264 |
ISBN-13 |
: 3642160263 |
Rating |
: 4/5 (64 Downloads) |
Synopsis Modeling, Control and Optimization of Water Systems by : Thomas Rauschenbach
This book provides essential background knowledge on the development of model-based real-world solutions in the field of control and decision making for water systems. It presents system engineering methods for modelling surface water and groundwater resources as well as water transportation systems (rivers, channels and pipelines). The models in turn provide information on both the water quantity (flow rates, water levels) of surface water and groundwater and on water quality. In addition, methods for modelling and predicting water demand are described. Sample applications of the models are presented, such as a water allocation decision support system for semi-arid regions, a multiple-criteria control model for run-of-river hydropower plants, and a supply network simulation for public services.