Hierarchical Control and Decomposition of Decentralized Linear Stochastic Systems PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Hierarchical Control and Decomposition of Decentralized Linear Stochastic Systems PDF full book. Access full book title Hierarchical Control and Decomposition of Decentralized Linear Stochastic Systems by Douglas Paul Looze. Download full books in PDF and EPUB format.
Author: Douglas Paul Looze
Publisher:
ISBN:
Category : Control theory
Languages : en
Pages : 422
Get Book Here
Book Description
Author: Douglas Paul Looze
Publisher:
ISBN:
Category : Control theory
Languages : en
Pages : 422
Get Book Here
Book Description
Author: Douglas P. Looze
Publisher:
ISBN:
Category : Control theory
Languages : en
Pages : 428
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 378
Get Book Here
Book Description
Author: Tzafestas
Publisher: CRC Press
ISBN: 9780824786540
Category : Technology & Engineering
Languages : en
Pages : 412
Get Book Here
Book Description
This book focuses on the class of large-scale stochastic systems, which has dominated the attention of many academic and research groups. It discusses distributed-sensor networks, decentralized detection theory, and econometric models with integrated and decentralized policymakers.
Author: Steven Michael Barta
Publisher:
ISBN:
Category : Control theory
Languages : en
Pages : 149
Get Book Here
Book Description
Author: Chee-Yee Chong
Publisher:
ISBN:
Category : Control theory
Languages : en
Pages : 154
Get Book Here
Book Description
The decentralized control of stochastic large-scale systems is considered. Particular emphasis is given to control strategies which use decentralized information and can be computed in a decentralized manner. The deterministic constrained optimization problem is generalized to the stochastic case when each decision variable depends on different information and the constraint is only required to be satisfied on the average. For problems with a particular structure, a hierarchical decomposition is obtained. For the stochastic control of dynamic systems with different information sets, a new kind of optimzlity is proposed which exploits the coupled nature of the dynamic system. The subsystems are assumed to be uncoupled and then certain constraints are required to be satisfied, either in a off-line or on-line fashion. (Modified author abstract).
Author: Władysław Findeisen
Publisher:
ISBN:
Category : Adaptive control systems
Languages : en
Pages : 428
Get Book Here
Book Description
Author: Goong Chen
Publisher: CRC Press
ISBN: 9780849380754
Category : Business & Economics
Languages : en
Pages : 404
Get Book Here
Book Description
Linear Stochastic Control Systems presents a thorough description of the mathematical theory and fundamental principles of linear stochastic control systems. Both continuous-time and discrete-time systems are thoroughly covered. Reviews of the modern probability and random processes theories and the Itô stochastic differential equations are provided. Discrete-time stochastic systems theory, optimal estimation and Kalman filtering, and optimal stochastic control theory are studied in detail. A modern treatment of these same topics for continuous-time stochastic control systems is included. The text is written in an easy-to-understand style, and the reader needs only to have a background of elementary real analysis and linear deterministic systems theory to comprehend the subject matter. This graduate textbook is also suitable for self-study, professional training, and as a handy research reference. Linear Stochastic Control Systems is self-contained and provides a step-by-step development of the theory, with many illustrative examples, exercises, and engineering applications.
Author: Serdar Yüksel
Publisher: Springer Science & Business Media
ISBN: 1461470854
Category : Mathematics
Languages : en
Pages : 491
Get Book Here
Book Description
Networked control systems are increasingly ubiquitous today, with applications ranging from vehicle communication and adaptive power grids to space exploration and economics. The optimal design of such systems presents major challenges, requiring tools from various disciplines within applied mathematics such as decentralized control, stochastic control, information theory, and quantization. A thorough, self-contained book, Stochastic Networked Control Systems: Stabilization and Optimization under Information Constraints aims to connect these diverse disciplines with precision and rigor, while conveying design guidelines to controller architects. Unique in the literature, it lays a comprehensive theoretical foundation for the study of networked control systems, and introduces an array of concrete tools for work in the field. Salient features included: · Characterization, comparison and optimal design of information structures in static and dynamic teams. Operational, structural and topological properties of information structures in optimal decision making, with a systematic program for generating optimal encoding and control policies. The notion of signaling, and its utilization in stabilization and optimization of decentralized control systems. · Presentation of mathematical methods for stochastic stability of networked control systems using random-time, state-dependent drift conditions and martingale methods. · Characterization and study of information channels leading to various forms of stochastic stability such as stationarity, ergodicity, and quadratic stability; and connections with information and quantization theories. Analysis of various classes of centralized and decentralized control systems. · Jointly optimal design of encoding and control policies over various information channels and under general optimization criteria, including a detailed coverage of linear-quadratic-Gaussian models. · Decentralized agreement and dynamic optimization under information constraints. This monograph is geared toward a broad audience of academic and industrial researchers interested in control theory, information theory, optimization, economics, and applied mathematics. It could likewise serve as a supplemental graduate text. The reader is expected to have some familiarity with linear systems, stochastic processes, and Markov chains, but the necessary background can also be acquired in part through the four appendices included at the end. · Characterization, comparison and optimal design of information structures in static and dynamic teams. Operational, structural and topological properties of information structures in optimal decision making, with a systematic program for generating optimal encoding and control policies. The notion of signaling, and its utilization in stabilization and optimization of decentralized control systems. · Presentation of mathematical methods for stochastic stability of networked control systems using random-time, state-dependent drift conditions and martingale methods. · Characterization and study of information channels leading to various forms of stochastic stability such as stationarity, ergodicity, and quadratic stability; and connections with information and quantization theories. Analysis of various classes of centralized and decentralized control systems. · Jointly optimal design of encoding and control policies over various information channels and under general optimization criteria, including a detailed coverage of linear-quadratic-Gaussian models. · Decentralized agreement and dynamic optimization under information constraints. This monograph is geared toward a broad audience of academic and industrial researchers interested in control theory, information theory, optimization, economics, and applied mathematics. It could likewise serve as a supplemental graduate text. The reader is expected to have some familiarity with linear systems, stochastic processes, and Markov chains, but the necessary background can also be acquired in part through the four appendices included at the end.
Author: Oak Ridge National Laboratory
Publisher:
ISBN:
Category : Energy conservation
Languages : en
Pages : 2238
Get Book Here
Book Description
