Self-organizing Control of Stochastic Systems
Author: George N. Saridis
Publisher:
Published: 1977
Total Pages: 488
ISBN-13:
DOWNLOAD EBOOKRead and Download eBook Full
Author: George N. Saridis
Publisher:
Published: 1977
Total Pages: 488
ISBN-13:
DOWNLOAD EBOOKAuthor: George N. Saridis
Publisher:
Published: 1977
Total Pages: 518
ISBN-13:
DOWNLOAD EBOOKAuthor: George N. Saridis
Publisher:
Published: 1971
Total Pages: 112
ISBN-13:
DOWNLOAD EBOOKAuthor: N.K. Sinha
Publisher: Elsevier
Published: 2014-05-23
Total Pages: 533
ISBN-13: 1483298078
DOWNLOAD EBOOKStochastic control, the control of random processes, has become increasingly more important to the systems analyst and engineer. The Second IFAC Symposium on Stochastic Control represents current thinking on all aspects of stochastic control, both theoretical and practical, and as such represents a further advance in the understanding of such systems.
Author: Alexey Piunovskiy
Publisher: Springer Nature
Published: 2021-06-04
Total Pages: 356
ISBN-13: 3030769283
DOWNLOAD EBOOKThis book presents state-of-the-art solution methods and applications of stochastic optimal control. It is a collection of extended papers discussed at the traditional Liverpool workshop on controlled stochastic processes with participants from both the east and the west. New problems are formulated, and progresses of ongoing research are reported. Topics covered in this book include theoretical results and numerical methods for Markov and semi-Markov decision processes, optimal stopping of Markov processes, stochastic games, problems with partial information, optimal filtering, robust control, Q-learning, and self-organizing algorithms. Real-life case studies and applications, e.g., queueing systems, forest management, control of water resources, marketing science, and healthcare, are presented. Scientific researchers and postgraduate students interested in stochastic optimal control,- as well as practitioners will find this book appealing and a valuable reference.
Author: Pieter W. Otter
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 193
ISBN-13: 364245593X
DOWNLOAD EBOOKThe literature on systems seems to have been growing almost expo nentially during the last decade and one may question whether there is need for another book. In the author's view, most of the literature on 'systems' is either technical in mathematical sense or technical ifF engineering sense (with technical words such as noise, filtering etc. ) and not easily accessible to researchers is other fields, in particular not to economists, econometricians and quantitative researchers in so cial sciences. This is unfortunate, because achievements in the rather 'young' science of system theory and system engineering are of impor tance for modelling, estimation and regulation (control) problems in other branches of science. State space mode~iing; the concept of ob servability and controllability; the mathematical formulations of sta bility; the so-called canonical forms; prediction error e~timation; optimal control and Kalman filtering are some examples of results of system theory and system engineering which proved to be successful in practice. A brief summary of system theoretical concepts is given in Chapter II where an attempt has been made to translate the concepts in to the more 'familiar' language used in econometrics and social sciences by means of examples. By interrelating concepts and results from system theory with those from econometrics and social sciences, the author has attempted to narrow the gap between the more technical sciences such as engi neering and social sciences and econometrics, and to contribute to either side.
Author: F.Eugene Yates
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 658
ISBN-13: 1461308836
DOWNLOAD EBOOKTechnological systems become organized by commands from outside, as when human intentions lead to the building of structures or machines. But many nat ural systems become structured by their own internal processes: these are the self organizing systems, and the emergence of order within them is a complex phe nomenon that intrigues scientists from all disciplines. Unfortunately, complexity is ill-defined. Global explanatory constructs, such as cybernetics or general sys tems theory, which were intended to cope with complexity, produced instead a grandiosity that has now, mercifully, run its course and died. Most of us have become wary of proposals for an "integrated, systems approach" to complex matters; yet we must come to grips with complexity some how. Now is a good time to reexamine complex systems to determine whether or not various scientific specialties can discover common principles or properties in them. If they do, then a fresh, multidisciplinary attack on the difficulties would be a valid scientific task. Believing that complexity is a proper scientific issue, and that self-organizing systems are the foremost example, R. Tomovic, Z. Damjanovic, and I arranged a conference (August 26-September 1, 1979) in Dubrovnik, Yugoslavia, to address self-organizing systems. We invited 30 participants from seven countries. Included were biologists, geologists, physicists, chemists, mathematicians, bio physicists, and control engineers. Participants were asked not to bring manu scripts, but, rather, to present positions on an assigned topic. Any writing would be done after the conference, when the writers could benefit from their experi ences there.
Author: Bertsekas
Publisher: Academic Press
Published: 1976-11-26
Total Pages: 415
ISBN-13: 0080956343
DOWNLOAD EBOOKDynamic Programming and Stochastic Control
Author: P. R. Kumar
Publisher: SIAM
Published: 2015-12-15
Total Pages: 371
ISBN-13: 1611974267
DOWNLOAD EBOOKSince its origins in the 1940s, the subject of decision making under uncertainty has grown into a diversified area with application in several branches of engineering and in those areas of the social sciences concerned with policy analysis and prescription. These approaches required a computing capacity too expensive for the time, until the ability to collect and process huge quantities of data engendered an explosion of work in the area. This book provides succinct and rigorous treatment of the foundations of stochastic control; a unified approach to filtering, estimation, prediction, and stochastic and adaptive control; and the conceptual framework necessary to understand current trends in stochastic control, data mining, machine learning, and robotics.?
Author: S. G. Tzafestas
Publisher: CRC Press
Published: 1993-04-29
Total Pages: 1096
ISBN-13: 9780824788001
DOWNLOAD EBOOKThis book provides a representative set of modern methodologies and applications, including new topics in the field, discussing a wide range of issues and treating them in depth. The book describes analytical processes for fault diagnosis of automatic control systems, examines modern sensors and actuators as well as measurement techniques, considers multidimensional feedback control and image restoration procedures, among other topics.