Optimization And Multiobjective Control Of Time Discrete Systems

Author : Dmitrii Lozovanu
Publisher : Springer Science & Business Media
ISBN 13 : 3540850252
Total Pages : 295 pages
Book Rating : 4.50/5 ( download)

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Download or read book Optimization and Multiobjective Control of Time-Discrete Systems written by Dmitrii Lozovanu and published by Springer Science & Business Media. This book was released on 2009-04-21 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: Richard Bellmann developed a theory of dynamic programming which is for many reasons still in the center of great interest. The authors present a new approach in the ?eld of the optimization and multi-objective control of time-discrete systems which is closely related to the work of Richard Bellmann. They develop their own concept and their extension to the optimization and multi-objective control of time-discrete systems as well as to dynamic networks and multilayered structures are very stimulating for further research. Di?erent perspectives of discrete control and optimal dynamic ?ow problems on networks are treated and characterized. Together with the algorithmic solutions a framework of multi-objective control problems is - rived. The conclusion with a real world example underlines the necessity and - portance of their theoretic framework. As they come back to the classical Bellmann concept of dynamic programming they stress and honor his basic concept without debase their own work. Multilayereddecisionprocessesaspartofthedesignandanalysisofcomplexsystems and networks will be essential in many ways and ?elds in the future.

Author : Richard Anthony Conway
Publisher :
ISBN 13 :
Total Pages : 94 pages
Book Rating : 4.46/5 ( download)

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Download or read book Multi-objective Control Design for Discrete Time Periodic Systems Via Convex Optimization written by Richard Anthony Conway and published by . This book was released on 2008 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Dmitrii Lozovanu
Publisher : Springer
ISBN 13 : 3319118331
Total Pages : 420 pages
Book Rating : 4.38/5 ( download)

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Download or read book Optimization of Stochastic Discrete Systems and Control on Complex Networks written by Dmitrii Lozovanu and published by Springer. This book was released on 2014-11-27 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest findings on stochastic dynamic programming models and on solving optimal control problems in networks. It includes the authors’ new findings on determining the optimal solution of discrete optimal control problems in networks and on solving game variants of Markov decision problems in the context of computational networks. First, the book studies the finite state space of Markov processes and reviews the existing methods and algorithms for determining the main characteristics in Markov chains, before proposing new approaches based on dynamic programming and combinatorial methods. Chapter two is dedicated to infinite horizon stochastic discrete optimal control models and Markov decision problems with average and expected total discounted optimization criteria, while Chapter three develops a special game-theoretical approach to Markov decision processes and stochastic discrete optimal control problems. In closing, the book’s final chapter is devoted to finite horizon stochastic control problems and Markov decision processes. The algorithms developed represent a valuable contribution to the important field of computational network theory.

Author : Ahmadreza Argha
Publisher : CRC Press
ISBN 13 : 1351470485
Total Pages : 228 pages
Book Rating : 4.83/5 ( download)

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Download or read book Advances in Discrete-Time Sliding Mode Control written by Ahmadreza Argha and published by CRC Press. This book was released on 2018-06-14 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: The focus of this book is on the design of a specific control strategy using digital computers. This control strategy referred to as Sliding Mode Control (SMC), has its roots in (continuous-time) relay control. This book aims to explain recent investigations' output in the field of discrete-time sliding mode control (DSMC). The book starts by explaining a new robust LMI-based (state-feedback and observer-based output-feedback) DSMC including a new scheme for sparsely distributed control. It includes a novel event-driven control mechanism, called actuator-based event-driven scheme, using a synchronized-rate biofeedback system for heart rate regulation during cycle-ergometer. Key Features: Focuses on LMI-based SMC (sliding mode control) for uncertain discrete-time system using novel nonlinear components in the control law Makes reader understand the techniques of designing a discrete controller based on the flexible sliding functions Proposes new algorithms for sparsifying control and observer network through multi-objective optimization frameworks Discusses a framework for the design of SMC for two-dimensional systems along with analyzing the controllability of two-dimensional systems Discusses novel schemes for sparsifying the control network

Author : Magdi S. Mahmoud
Publisher : Springer
ISBN 13 :
Total Pages : 696 pages
Book Rating : 4.95/5 ( download)

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Download or read book Discrete Systems, Analysis, Control, and Optimization written by Magdi S. Mahmoud and published by Springer. This book was released on 1984 with total page 696 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Anirudh Oberoi
Publisher :
ISBN 13 :
Total Pages : 160 pages
Book Rating : 4.74/5 ( download)

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Download or read book A Convex Optimization Approach to the Design of Multiobjective Discrete Time Systems written by Anirudh Oberoi and published by . This book was released on 2004 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Demonstrates that a robust control approach based on Linear Matrix Inequalities (LMIs) provides a rigorous framework for the systematic analysis and design of noise-shaping coders in contrast to existing ad hoc design techniques used for such problems traditionally. A MATLAB toolbox for discrete-time controller design using the LMI approach was implemented. In order to illustrate the advantages and effectiveness of the LMI framework to multiobjective design problems, it was applied to the design of a noise-shaping feedback coder.

Author : Z. Nahorski
Publisher : Springer
ISBN 13 :
Total Pages : 148 pages
Book Rating : 4.35/5 ( download)

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Download or read book Optimization of Discrete Time Systems written by Z. Nahorski and published by Springer. This book was released on 1983-04 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Ruizhuo Song
Publisher : Springer
ISBN 13 : 9811317127
Total Pages : 271 pages
Book Rating : 4.25/5 ( download)

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Download or read book Adaptive Dynamic Programming: Single and Multiple Controllers written by Ruizhuo Song and published by Springer. This book was released on 2018-12-28 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a class of novel optimal control methods and games schemes based on adaptive dynamic programming techniques. For systems with one control input, the ADP-based optimal control is designed for different objectives, while for systems with multi-players, the optimal control inputs are proposed based on games. In order to verify the effectiveness of the proposed methods, the book analyzes the properties of the adaptive dynamic programming methods, including convergence of the iterative value functions and the stability of the system under the iterative control laws. Further, to substantiate the mathematical analysis, it presents various application examples, which provide reference to real-world practices.

Author : Qinglai Wei
Publisher : Springer
ISBN 13 : 981104080X
Total Pages : 230 pages
Book Rating : 4.01/5 ( download)

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Download or read book Self-Learning Optimal Control of Nonlinear Systems written by Qinglai Wei and published by Springer. This book was released on 2017-06-13 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a class of novel, self-learning, optimal control schemes based on adaptive dynamic programming techniques, which quantitatively obtain the optimal control schemes of the systems. It analyzes the properties identified by the programming methods, including the convergence of the iterative value functions and the stability of the system under iterative control laws, helping to guarantee the effectiveness of the methods developed. When the system model is known, self-learning optimal control is designed on the basis of the system model; when the system model is not known, adaptive dynamic programming is implemented according to the system data, effectively making the performance of the system converge to the optimum. With various real-world examples to complement and substantiate the mathematical analysis, the book is a valuable guide for engineers, researchers, and students in control science and engineering.

Author : Bor-Sen Chen
Publisher : CRC Press
ISBN 13 : 1000999521
Total Pages : 292 pages
Book Rating : 4.25/5 ( download)

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Download or read book Multi-Objective Optimization System Designs and Their Applications written by Bor-Sen Chen and published by CRC Press. This book was released on 2023-12-05 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces multi-objective design methods to solve multi-objective optimization problems (MOPs) of linear/nonlinear dynamic systems under intrinsic random fluctuation and external disturbance. The MOPs of multiple targets for systems are all transformed into equivalent linear matrix inequality (LMI)-constrained MOPs. Corresponding reverse-order LMI-constrained multi-objective evolution algorithms are introduced to solve LMI-constrained MOPs using MATLAB®. All proposed design methods are based on rigorous theoretical results, and their applications are focused on more practical engineering design examples. Features: Discusses multi-objective optimization from an engineer’s perspective. Contains the theoretical design methods of multi-objective optimization schemes. Includes a wide spectrum of recent research topics in control design, especially for stochastic mean field diffusion problems. Covers practical applications in each chapter, like missile guidance design, economic and financial systems, power control tracking, minimization design in communication, and so forth. Explores practical multi-objective optimization design examples in control, signal processing, communication, and cyber-financial systems. This book is aimed at researchers and graduate students in electrical engineering, control design, and optimization.