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Journal ArticleDOI

Paper: On the periodic coordination of linear stochastic systems

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TLDR
The decentralized stochastic control of a linear dynamic system consisting of several subsystems is considered by the introduction of a coordinator who collects measurements from the local controllers periodically and in return transmits coordinating parameters.
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This article is published in Automatica.The article was published on 1976-07-01. It has received 51 citations till now. The article focuses on the topics: Stochastic control.

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Citations
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Survey of decentralized control methods for large scale systems

TL;DR: In this article, the authors survey the control theoretic literature on decentralized and hierarchical control, and methods of analysis of large scale systems, and present a survey of the control theory of large-scale systems.
Journal ArticleDOI

Team decision theory and information structures

TL;DR: This tutorial-survey paper introduces the problems of decentralized statistical decision making (team theory) where the decision makers have access to different information concerning the underlying uncertainties.

Large scale dynamic systems

TL;DR: Classes of large scale dynamic systems were discussed in the context of modern control theory in the technical fields of aeronautics, water resources and electric power.
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Control strategies for decision makers using different models of the same system

TL;DR: In this article, a design algorithm for interconnected systems with slow and fast dynamics is presented, and conditions for the validity of this approximate design are formulated and illustrated by a power system example.
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Multilayer control of large Markov chains

TL;DR: In this paper, the computational burden associated with controlling a plant modeled as a Markov chain with a large number of states is addressed by proposing a two-layer feedback control structure.
References
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Book

Dynamic Programming

TL;DR: The more the authors study the information processing aspects of the mind, the more perplexed and impressed they become, and it will be a very long time before they understand these processes sufficiently to reproduce them.
Book

Stochastic Processes and Filtering Theory

TL;DR: In this paper, a unified treatment of linear and nonlinear filtering theory for engineers is presented, with sufficient emphasis on applications to enable the reader to use the theory for engineering problems.
Book

Optimization by Vector Space Methods

TL;DR: This book shows engineers how to use optimization theory to solve complex problems with a minimum of mathematics and unifies the large field of optimization with a few geometric principles.
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