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On a stochastic control method for weakly coupled linear systemsThe stochastic control of two weakly coupled linear systems with different controllers is considered. Each controller only makes measurements about his own system; no information about the other system is assumed to be available. Based on the noisy measurements, the controllers are to generate independently suitable control policies which minimize a quadratic cost functional. To account for the effects of weak coupling directly, an approximate model, which involves replacing the influence of one system on the other by a white noise process is proposed. Simple suboptimal control problem for calculating the covariances of these noises is solved using the matrix minimum principle. The overall system performance based on this scheme is analyzed as a function of the degree of intersystem coupling.
Document ID
19720022568
Acquisition Source
Legacy CDMS
Document Type
Thesis/Dissertation
Authors
Kwong, R. H. (Massachusetts Inst. of Tech. Cambridge, MA, United States)
Date Acquired
August 29, 2013
Publication Date
May 1, 1972
Subject Category
Electronics
Report/Patent Number
ESL-R-480
NASA-CR-127910
Accession Number
72N30218
Funding Number(s)
CONTRACT_GRANT: AF-AFOSR-1941-70
CONTRACT_GRANT: AF-AFOSR-2273-72
CONTRACT_GRANT: NGL-22-009-124
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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