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Optimal regulation in systems with stochastic time samplingAn optimal control theory that accounts for stochastic variable time sampling in a distributed microprocessor based flight control system is presented. The theory is developed by using a linear process model for the airplane dynamics and the information distribution process is modeled as a variable time increment process where, at the time that information is supplied to the control effectors, the control effectors know the time of the next information update only in a stochastic sense. An optimal control problem is formulated and solved for the control law that minimizes the expected value of a quadratic cost function. The optimal cost obtained with a variable time increment Markov information update process where the control effectors know only the past information update intervals and the Markov transition mechanism is almost identical to that obtained with a known and uniform information update interval.
Document ID
19810004301
Acquisition Source
Legacy CDMS
Document Type
Technical Publication (TP)
Authors
Montgomery, R. C. (NASA Langley Research Center Hampton, VA, United States)
Lee, P. S. (NASA Langley Research Center Hampton, VA, United States)
Date Acquired
September 4, 2013
Publication Date
November 1, 1980
Subject Category
Systems Analysis
Report/Patent Number
NASA-TP-1743
L-13507
Accession Number
81N12812
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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