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Control, Optimization, and Mathematical Modeling of Complex Systems

Control, Optimization, and Mathematical Modeling of Complex Systems PDF Author: Mikhail Posypkin
Publisher: Mdpi AG
ISBN: 9783036576404
Category :
Languages : en
Pages : 0

Book Description
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.

Control, Optimization, and Mathematical Modeling of Complex Systems

Control, Optimization, and Mathematical Modeling of Complex Systems PDF Author: Mikhail Posypkin
Publisher: Mdpi AG
ISBN: 9783036576404
Category :
Languages : en
Pages : 0

Book Description
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.

Modeling, Control and Optimization of Complex Systems

Modeling, Control and Optimization of Complex Systems PDF Author: Weibo Gong
Publisher: Springer Science & Business Media
ISBN: 1461511399
Category : Science
Languages : en
Pages : 312

Book Description
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.

Mathematical Modeling and Optimization of Complex Structures

Mathematical Modeling and Optimization of Complex Structures PDF Author: Pekka Neittaanmäki
Publisher: Springer
ISBN: 3319235648
Category : Technology & Engineering
Languages : en
Pages : 337

Book Description
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.

Mathematical Modelling and Optimization of Engineering Problems

Mathematical Modelling and Optimization of Engineering Problems PDF Author: J. A. Tenreiro Machado
Publisher: Springer Nature
ISBN: 3030370623
Category : Mathematics
Languages : en
Pages : 204

Book Description
This book presents recent developments in modelling and optimization of engineering systems and the use of advanced mathematical methods for solving complex real-world problems. It provides recent theoretical developments and new techniques based on control, optimization theory, mathematical modeling and fractional calculus that can be used to model and understand complex behavior in natural phenomena including latest technologies such as additive manufacturing. Specific topics covered in detail include combinatorial optimization, flow and heat transfer, mathematical modelling, energy storage and management policy, artificial intelligence, optimal control, modelling and optimization of manufacturing systems.

Modeling and Control of Complex Systems

Modeling and Control of Complex Systems PDF Author: Petros A. Ioannou
Publisher: CRC Press
ISBN: 0849379865
Category : Medical
Languages : en
Pages : 552

Book Description
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

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

Handbook of Research on Modeling, Analysis, and Control of Complex Systems PDF Author: Azar, Ahmad Taher
Publisher: IGI Global
ISBN: 1799857905
Category : Mathematics
Languages : en
Pages : 685

Book Description
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.

Management and Intelligent Decision-Making in Complex Systems: An Optimization-Driven Approach

Management and Intelligent Decision-Making in Complex Systems: An Optimization-Driven Approach PDF Author: Ameer Hamza Khan
Publisher: Springer Nature
ISBN: 9811593922
Category : Technology & Engineering
Languages : en
Pages : 91

Book Description
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.

Control and Modeling of Complex Systems

Control and Modeling of Complex Systems PDF Author: Koichi Hashimoto
Publisher: Springer Science & Business Media
ISBN: 1461200237
Category : Technology & Engineering
Languages : en
Pages : 350

Book Description
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.

Mission Oriented Effectiveness Evaluation and Optimization of Complex Systems

Mission Oriented Effectiveness Evaluation and Optimization of Complex Systems PDF Author: De Ping Zhang
Publisher:
ISBN: 9781536193800
Category : Computers
Languages : en
Pages : 0

Book Description
With the development and wide application of new information technology, the trend of informationization, intelligence and integration for complex systems is becoming increasingly obvious. Various complex systems promote and restrict each other to form an organic system with a feature of system emergence.The goal of these complex systems is to accomplish complex tasks in very complicated and uncertain environments and get better results than people expect. System effectiveness is always used to measure the design quality and capacity of complex systems. It represents the comprehensive capability of a complex system to perform specific tasks under specific conditions. To guide the optimization design process, improve design quality, reduce the design lifecycle and ultimately enhance the overall capabilities of complex systems, it is necessary to find a scientific method to evaluate and optimize the system effectiveness of the complex system.At present, there are many methods to evaluate system effectiveness, but most of the evaluation objects are mainly single equipment or a subsystem. Complex systems have various typical characteristics of large scale, complex relationships, diverse tasks, and typical uncertainties. It is difficult to achieve comprehensive evaluation and it is not effective to use the existing simple methods directly. Because the existing research on comprehensive evaluation of system effectiveness struggles to meet the emergence requirements of complex systems, it is necessary to research and form a comprehensive evaluation and optimization method of system effectiveness for the complex system.The basic theories and applications of effectiveness evaluation and optimization technology are introduced in this book. The book contains nine chapters, the main contents of which are as follows: Introduction; Construction of Effectiveness Evaluation Index System; Mathematical Modeling and Analysis Technology of Effectiveness Index; Analysis Technology of Classical Effectiveness Evaluation; Mission Oriented Effectiveness Evaluation Technology; Operational Effectiveness Sensitivity Analysis Technology; Analysis Technology of System Effectiveness Contribution; Mission oriented Modeling; and Evaluation and Optimization of Complex Systems.The main content of this book includes: the entire analyzing process of system effectiveness and complex system performance; the construction, selection and modeling of the index system; the evaluation of system effectiveness; and the analysis of sensitivity and contribution, among other topics. Each chapter has a close logical relationship, which can help the readers understand the field more easily. This book has strong practicality. Based on the basic theories of various methods, we provide many concrete cases. Readers can quickly apply them to the practice of effectiveness evaluation following the case studies. The authors' research and applications provide not only theoretical knowledge, but practical knowledge as well. The latest technological developments are also considered. This book mainly discusses the performance evaluation of typical complex systems, focusing on new theories and methods in this field. We believe this can help the development and application of effectiveness evaluation of complex systems.This book can be used as reference material or as a textbook for high grade students and graduated students in computer simulation and system modeling and simulation, control science and engineering. It also has important reference value for researchers and engineers in professional fields such as ship engineering, aircraft guidance and control, and aircraft design.

Advances in System Dynamics and Control

Advances in System Dynamics and Control PDF Author: Azar, Ahmad Taher
Publisher: IGI Global
ISBN: 1522540784
Category : Computers
Languages : en
Pages : 706

Book Description
Complex systems are pervasive in many areas of science. With the increasing requirement for high levels of system performance, complex systems has become an important area of research due to its role in many industries. Advances in System Dynamics and Control provides emerging research on the applications in the field of control and analysis for complex systems, with a special emphasis on how to solve various control design and observer design problems, nonlinear systems, interconnected systems, and singular systems. Featuring coverage on a broad range of topics, such as adaptive control, artificial neural network, and synchronization, this book is an important resource for engineers, professionals, and researchers interested in applying new computational and mathematical tools for solving the complicated problems of mathematical modeling, simulation, and control.