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Near-Optimal Design of Reliable Decentralized Stabilizing Controllers for Large-Scale Systems

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2 Author(s)
Malur K. Sundareshan ; Department of Electrical Engineering, University of Arizona, Tucson, AZ 85721 ; Paul C. Huang

In the design of efficient schemes for signal processing and decision making in large-scale systems, reliable operation is a factor of major concern since a frequent source of failure is the loss of information transfer between different parts of the system. This paper presents a new iterative procedure for the design of reliable decentralized stabilizing controllers for a large-scale system which can be described as an interconnection of several subsystems. By an efficient exploitation of the trade-off that exists between optimality and reliability, the design procedure yields a decentralized control scheme which not only ensures a high degree of reliability under arbitrary information transfer disruptions but also provides a near-optimal performance. An integration of two distinct approaches one of which is based on an interconnection pattern classification and the other based on a high gain methodology of constructively increaseing the redundancy, are utilized for the development of the step-by-step design algorithm.

Published in:

American Control Conference, 1982

Date of Conference:

14-16 June 1982