Discrete Event Systems Stochastic Systems Fuzzy And Neural Systems I
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| Author | : Han-Fu Chen |
| Publisher | : Pergamon |
| Total Pages | : 486 |
| Release | : 1999-10 |
| Genre | : Computers |
| ISBN | : 9780080432212 |
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.
| Author | : Armin Zimmermann |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 393 |
| Release | : 2008-01-12 |
| Genre | : Computers |
| ISBN | : 3540741739 |
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.
| Author | : International Federation of Automatic Control. World Congress |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 1999 |
| Genre | : Automatic control |
| ISBN | : 9780080432212 |
| Author | : Christos G. Cassandras |
| Publisher | : Springer Nature |
| Total Pages | : 821 |
| Release | : 2021-11-11 |
| Genre | : Computers |
| ISBN | : 3030722740 |
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.
| Author | : Reuven Y. Rubinstein |
| Publisher | : |
| Total Pages | : 360 |
| Release | : 1993-10-19 |
| Genre | : Mathematics |
| ISBN | : |
A unified and rigorous treatment of the associated stochastic optimization problems is provided and recent advances in perturbation theory encompassed. Throughout the book emphasis is upon concepts rather than mathematical completeness with the advantage that the reader only requires a basic knowledge of probability, statistics and optimization.
| Author | : R. Boel |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 489 |
| Release | : 2012-12-06 |
| Genre | : Science |
| ISBN | : 1461544939 |
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).
| Author | : Eitan Altman |
| Publisher | : Springer |
| Total Pages | : 303 |
| Release | : 2003-12-09 |
| Genre | : Mathematics |
| ISBN | : 3540397051 |
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.
| Author | : Chun-hung Chen |
| Publisher | : World Scientific |
| Total Pages | : 274 |
| Release | : 2013-07-03 |
| Genre | : Technology & Engineering |
| ISBN | : 9814513024 |
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.
| Author | : Derui Ding |
| Publisher | : CRC Press |
| Total Pages | : 249 |
| Release | : 2018-10-11 |
| Genre | : Mathematics |
| ISBN | : 0429880030 |
The book addresses the system performance with a focus on the network-enhanced complexities and developing the engineering-oriented design framework of controllers and filters with potential applications in system sciences, control engineering and signal processing areas. Therefore, it provides a unified treatment on the analysis and synthesis for discrete-time stochastic systems with guarantee of certain performances against network-enhanced complexities with applications in sensor networks and mobile robotics. Such a result will be of great importance in the development of novel control and filtering theories including industrial impact. Key Features Provides original methodologies and emerging concepts to deal with latest issues in the control and filtering with an emphasis on a variety of network-enhanced complexities Gives results of stochastic control and filtering distributed control and filtering, and security control of complex networked systems Captures the essence of performance analysis and synthesis for stochastic control and filtering Concepts and performance indexes proposed reflect the requirements of engineering practice Methodologies developed in this book include backward recursive Riccati difference equation approach and the discrete-time version of input-to-state stability in probability
| Author | : Yaman Barlas |
| Publisher | : EOLSS Publications |
| Total Pages | : 346 |
| Release | : 2009-06-29 |
| Genre | : |
| ISBN | : 1848261373 |
System Dynamics is a component of Encyclopedia of Technology, Information, and Systems Management Resources in the global Encyclopedia of Life Support Systems (EOLSS), which is an integrated compendium of twenty one Encyclopedias. The world is facing a wide range of increasingly complex, dynamic problems in the public and private arenas alike. System dynamics discipline is an attempt to address such dynamic, long-term policy problems. Applications cover a very wide spectrum, including national economic problems, supply chains, project management, educational problems, energy systems, sustainable development, politics, psychology, medical sciences, health care, and many other areas. This theme provides a comprehensive overview of system dynamics methodology, including its conceptual / philosophical framework, as well as the technical aspects of modeling and analysis. System dynamics can address the fundamental structural causes of the long-term dynamic contemporary socio-economic problems. Its "systems" perspective challenges the barriers that separate disciplines. The interdisciplinary and systemic approach of system dynamics could be critical in dealing with the increasingly complex problems of our modern world in this new century. These two volumes are aimed at the following five major target audiences: University and College students Educators, Professional practitioners, Research personnel and Policy analysts, managers, and decision makers and NGOs.
