Discrete Event Control Of Stochastic Networks

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Discrete Event Control Of Stochastic Networks Multimodularity And Regularity

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Author : Eitan Altman
language : en
Publisher: Springer Science & Business Media
Release Date : 2003

Discrete Event Control Of Stochastic Networks Multimodularity And Regularity written by Eitan Altman and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Combinatorial analysis categories.

Discrete Event Control Of Stochastic Networks

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Author : Eitan Altman
language : en
Publisher:
Release Date : 2014-01-15

Discrete Event Control Of Stochastic Networks written by Eitan Altman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-15 with categories.

Discrete Event Control Of Stochastic Networks Multimodularity And Regularity

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Author : Eitan Altman
language : en
Publisher: Springer
Release Date : 2003-11-17

Discrete Event Control Of Stochastic Networks Multimodularity And Regularity written by Eitan Altman and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-11-17 with Mathematics categories.

Opening new directions in research in both discrete event dynamic systems as well as in stochastic control, this volume focuses on a wide class of control and of optimization problems over sequences of integer numbers. This is a counterpart of convex optimization in the setting of discrete optimization. The theory developed is applied to the control of stochastic discrete-event dynamic systems. Some applications are admission, routing, service allocation and vacation control in queuing networks. Pure and applied mathematicians will enjoy reading the book since it brings together many disciplines in mathematics: combinatorics, stochastic processes, stochastic control and optimization, discrete event dynamic systems, algebra.

Introduction To Discrete Event Systems

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Author : Christos G. Cassandras
language : en
Publisher: Springer Nature
Release Date : 2021-11-11

Introduction To Discrete Event Systems written by Christos G. Cassandras and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-11 with Computers categories.

This unique textbook comprehensively introduces the field of discrete event systems, offering a breadth of coverage that makes the material accessible to readers of varied backgrounds. The book emphasizes a unified modeling framework that transcends specific application areas, linking the following topics in a coherent manner: language and automata theory, supervisory control, Petri net theory, Markov chains and queueing theory, discrete-event simulation, and concurrent estimation techniques. Topics and features: detailed treatment of automata and language theory in the context of discrete event systems, including application to state estimation and diagnosis comprehensive coverage of centralized and decentralized supervisory control of partially-observed systems timed models, including timed automata and hybrid automata stochastic models for discrete event systems and controlled Markov chains discrete event simulation an introduction to stochastic hybrid systems sensitivity analysis and optimization of discrete event and hybrid systems new in the third edition: opacity properties, enhanced coverage of supervisory control, overview of latest software tools This proven textbook is essential to advanced-level students and researchers in a variety of disciplines where the study of discrete event systems is relevant: control, communications, computer engineering, computer science, manufacturing engineering, transportation networks, operations research, and industrial engineering. ​Christos G. Cassandras is Distinguished Professor of Engineering, Professor of Systems Engineering, and Professor of Electrical and Computer Engineering at Boston University. Stéphane Lafortune is Professor of Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor.

Stochastic Discrete Event Systems

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Author : Armin Zimmermann
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-01-12

Stochastic Discrete Event Systems written by Armin Zimmermann and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-12 with Computers categories.

Stochastic discrete-event systems (SDES) capture the randomness in choices due to activity delays and the probabilities of decisions. This book delivers a comprehensive overview on modeling with a quantitative evaluation of SDES. It presents an abstract model class for SDES as a pivotal unifying result and details important model classes. The book also includes nontrivial examples to explain real-world applications of SDES.

Control And System Theory Of Discrete Time Stochastic Systems

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Author : Jan H. van Schuppen
language : en
Publisher: Springer Nature
Release Date : 2021-08-02

Control And System Theory Of Discrete Time Stochastic Systems written by Jan H. van Schuppen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-02 with Technology & Engineering categories.

This book helps students, researchers, and practicing engineers to understand the theoretical framework of control and system theory for discrete-time stochastic systems so that they can then apply its principles to their own stochastic control systems and to the solution of control, filtering, and realization problems for such systems. Applications of the theory in the book include the control of ships, shock absorbers, traffic and communications networks, and power systems with fluctuating power flows. The focus of the book is a stochastic control system defined for a spectrum of probability distributions including Bernoulli, finite, Poisson, beta, gamma, and Gaussian distributions. The concepts of observability and controllability of a stochastic control system are defined and characterized. Each output process considered is, with respect to conditions, represented by a stochastic system called a stochastic realization. The existence of a control law is related to stochastic controllability while the existence of a filter system is related to stochastic observability. Stochastic control with partial observations is based on the existence of a stochastic realization of the filtration of the observed process.​

Discrete Event Systems Stochastic Systems Fuzzy And Neural Systems I

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Author : Han-Fu Chen
language : en
Publisher: Pergamon
Release Date : 1999-10

Discrete Event Systems Stochastic Systems Fuzzy And Neural Systems I written by Han-Fu Chen and has been published by Pergamon this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-10 with Computers categories.

Chapter headings selected papers: Control of Discrete Event Systems. Control synthesis of timed discrete event systems: part one (H. Chen, H.-M. Hanisch). Control synthesis of timed discrete event systems: part two (H. Chen, H.-M. Hanisch). Modelling and Performance of Discrete Event Systems. Modelling of distributed systems based on a generalized min plus algebra (T. Berger et al.). Hybrid Systems. Parametric analysis for linear hybrid systems (J. Hou et al.). Applications of Discrete Event System Theory. Application of a genetic algorithm in crane movement scheduling (S.J. Henriksen et al.). Scheduling and Control of Manufacturing Systems. Control robustness and electroplating line with multi-manufacturing process (S. Collart Dutilleul, J.-P. Denat). Petri Nets in Manufacturing. A linear state variable model for first-order hybrid petri nets (F. Balduzzi et al.). Systems with Markov Jump Parameters. Robust stabilization of discrete time-delay Markovian jump systems (P. Shi et al.). Control of Stochastic Systems. Quantized control of stochastic stable linear systems (K.-S. Lee, A.H. Haddad). Continuous-Time Stochastic Systems. Properties of perturbed Lyapunov mapping and its application to stochastic stability problems (T. Sasagawa). Recursive Estimation and Stochastic Approximation. Easy and accurate state estimation for nonlinear systems (M. Norgaard et al.). Neural Control Applications I. A neural networks approach to nonlinear control of neutralization process (H.D. Siahaan et al.). Neural Control Applications II. Sliding mode fuzzy control of magnetic bearing systems (T. Kosaki, M. Sano). Neural network based active control of unstable combustion systems (G.P. Liu, S. Daley). Neural Networks for Identification. A neural network for robust estimation and uncertainty intervals evaluation of nonlinear models (I.N. Silva et al.). Shifting of the center of RBF network with disturbance (Q. Song et al.). Author index. Keyword index.

Discrete Event Systems Manufacturing Systems And Communication Networks

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Author : P.R. Kumar
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Discrete Event Systems Manufacturing Systems And Communication Networks written by P.R. Kumar and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Science categories.

This IMA Volume in Mathematics and its Applications DISCRETE EVENT SYSTEMS, MANUFACTURING SYSTEMS AND COMMUNICATION NETWORKS is based on the proceedings of a workshop that was an integral part of the 1992-93 IMA program on "Control Theory. " The study of discrete event dynamical systems (DEDS) has become rapidly popular among researchers in systems and control, in communication networks, in manufacturing, and in distributed computing. This development has created problems for re searchers and potential "consumers" of the research. The first problem is the veritable Babel of languages, formalisms, and approaches, which makes it very difficult to determine the commonalities and distinctions among the competing schools of approaches. The second, related, problem arises from the different traditions, paradigms, values, and experience that scholars bring to their study of DEDS, depending on whether they come from control, com munication, computer science, or mathematical logic. As a result, intellectual exchange among scholars becomes compromised by unexplicated assumptions. The purpose of the Workshop was to promote exchange among scholars representing some of the major "schools" of thought in DEDS with the hope that (1) greater clarity will be achieved thereby, and (2) cross-fertilization will lead to more fruitful questions. We thank P. R. Kumar and P. P. Varaiya for organizing the workshop and editing the proceedings. We also take this opportunity to thank the National Science Foundation and the Army Research Office, whose financial support made the workshop possible. A vner Friedman Willard Miller, Jr.

Stochastic Simulation Optimization For Discrete Event Systems

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Author : Chun-Hung Chen
language : en
Publisher: World Scientific
Release Date : 2013

Stochastic Simulation Optimization For Discrete Event Systems written by Chun-Hung Chen and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Mathematics categories.

Discrete event systems (DES) have become pervasive in our daily lives. Examples include (but are not restricted to) manufacturing and supply chains, transportation, healthcare, call centers, and financial engineering. However, due to their complexities that often involve millions or even billions of events with many variables and constraints, modeling these stochastic simulations has long been a hard nut to crack. The advance in available computer technology, especially of cluster and cloud computing, has paved the way for the realization of a number of stochastic simulation optimization for complex discrete event systems. This book will introduce two important techniques initially proposed and developed by Professor Y C Ho and his team; namely perturbation analysis and ordinal optimization for stochastic simulation optimization, and present the state-of-the-art technology, and their future research directions.

Discrete Event Systems

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Author : R. Boel
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Discrete Event Systems written by R. Boel and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Science categories.

Discrete Event Systems: Analysis and Control is the proceedings of WODES2000 (the 5th Workshop on Discrete Event Systems, held in Ghent, Belgium, on August 21-23, 2000). This book provides a survey of the current state of the art in the field of modeling, analysis and control synthesis of discrete event systems, lecture notes for a mini course on sensitivity analysis for performance evaluation of timed discrete event systems, and 48 carefully selected papers covering all areas of discrete event theory and the most important applications domains. Topics include automata theory and supervisory control (12); Petri net based models for discrete event systems, and their control synthesis (11); (max,+) and timed automata models (9); applications papers related to scheduling, failure detection, and implementation of supervisory controllers (7); formal description of PLCs (6); and finally, stochastic models of discrete event systems (3).