Anytime control using input sequences with Markovian processor availability

Title: Anytime control using input sequences with Markovian processor availability
Creator: Quevedo, Daniel E.; Ma, Wann-Jiun; Gupta, Vijay
Relation: ARC.DP0988601
Relation: IEEE Transactions on Automatic Control Vol. 60, Issue 2, p. 515-521
Publisher Link: http://dx.doi.org/10.1109/TAC.2014.2335311
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Resource Type: journal article
Date: 2015
Description: We study an anytime control algorithm for situations where the processing resources available for control are time-varying in an a priori unknown fashion. At times, processing resources are insufficient to calculate control inputs. To address this issue, the algorithm calculates sequences of tentative future control inputs whenever possible, which are then buffered for possible future use. We assume that the processor availability is correlated so that the number of control inputs calculated at any time step is described by a Markov chain. Using a Lyapunov function based approach we derive sufficient conditions for stochastic stability of the closed loop.
Subject: anytime control; processor availability; cyberphysical systems; stochastic stability; Markov chain
Identifier: http://hdl.handle.net/1959.13/1319829
Identifier: uon:23981
Identifier: ISSN:0018-9286
Language: eng
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