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Decentralized control of large-scale...
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Davison, Edward J.
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Decentralized control of large-scale systems
Record Type:
Electronic resources : Monograph/item
Title/Author:
Decentralized control of large-scale systems/ by Edward J. Davison, Amir G. Aghdam, Daniel E. Miller.
Author:
Davison, Edward J.
other author:
Aghdam, Amir G.
Published:
New York, NY :Springer US : : 2020.,
Description:
xv, 166 p. :ill., digital ;24 cm.
[NT 15003449]:
Centralized Control Systems -- Decentrealized Control Systems -- Robust Servomechanism Problem -- On Tuning Regulators -- Stability of Decentralized Systems Using non-LTI Controllers -- Optimal Decentralized Control -- Optimal Performance in the Decentralized Setting.
Contained By:
Springer eBooks
Subject:
Large scale systems - Control. -
Online resource:
https://doi.org/10.1007/978-1-4419-6014-6
ISBN:
9781441960146
Decentralized control of large-scale systems
Davison, Edward J.
Decentralized control of large-scale systems
[electronic resource] /by Edward J. Davison, Amir G. Aghdam, Daniel E. Miller. - New York, NY :Springer US :2020. - xv, 166 p. :ill., digital ;24 cm.
Centralized Control Systems -- Decentrealized Control Systems -- Robust Servomechanism Problem -- On Tuning Regulators -- Stability of Decentralized Systems Using non-LTI Controllers -- Optimal Decentralized Control -- Optimal Performance in the Decentralized Setting.
A large-scale system is composed of several interconnected subsystems. For such a system it is often desired to have some form of decentralization in the control structure, since it is typically not realistic to assume that all output measurements can be transmitted to every local control station. Problems of this kind can appear in electric power systems, communication networks, large space structures, robotic systems, economic systems, and traffic networks, to name only a few. Typical large-scale control systems have several local control stations which observe only local outputs and control only local inputs. All controllers are involved, however, in the control operation of the overall system. The focus of this book is on the efficient control of interconnected systems, and it presents systems analysis and controller synthesis techniques using a variety of methods. A systematic study of multi-input, multi-output systems is carried out and illustrative examples are given to clarify the ideas. Provides computational techniques which can be readily programmed in MATLAB; Includes numerous solved design examples; Offers end of chapter exercises with real-world industrial examples.
ISBN: 9781441960146
Standard No.: 10.1007/978-1-4419-6014-6doiSubjects--Topical Terms:
3443993
Large scale systems
--Control.
LC Class. No.: QA402.3
Dewey Class. No.: 003.71
Decentralized control of large-scale systems
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Centralized Control Systems -- Decentrealized Control Systems -- Robust Servomechanism Problem -- On Tuning Regulators -- Stability of Decentralized Systems Using non-LTI Controllers -- Optimal Decentralized Control -- Optimal Performance in the Decentralized Setting.
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A large-scale system is composed of several interconnected subsystems. For such a system it is often desired to have some form of decentralization in the control structure, since it is typically not realistic to assume that all output measurements can be transmitted to every local control station. Problems of this kind can appear in electric power systems, communication networks, large space structures, robotic systems, economic systems, and traffic networks, to name only a few. Typical large-scale control systems have several local control stations which observe only local outputs and control only local inputs. All controllers are involved, however, in the control operation of the overall system. The focus of this book is on the efficient control of interconnected systems, and it presents systems analysis and controller synthesis techniques using a variety of methods. A systematic study of multi-input, multi-output systems is carried out and illustrative examples are given to clarify the ideas. Provides computational techniques which can be readily programmed in MATLAB; Includes numerous solved design examples; Offers end of chapter exercises with real-world industrial examples.
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Intelligent Technologies and Robotics (Springer-42732)
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