Markov chain modeling approaches for on board applications

This paper is concerned with Markov chain modeling of operating conditions and system dynamics to facilitate application of stochastic dynamic programming and stochastic model predictive control techniques. We discuss and compare two modeling frameworks based on interval and fuzzy encoding of the si...

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Bibliographic Details
Main Authors: Filev, Dimitar P, Kolmanovsky, Ilya
Format: Conference Proceeding
Language:English
Subjects:
Dynamic programming
Encoding
Frequency estimation
Fuzzy set theory
Predictive control
Predictive models
State-space methods
Stochastic systems
USA Councils
Vehicle dynamics
Online Access:Request full text
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Description
Summary:This paper is concerned with Markov chain modeling of operating conditions and system dynamics to facilitate application of stochastic dynamic programming and stochastic model predictive control techniques. We discuss and compare two modeling frameworks based on interval and fuzzy encoding of the signal being modeled. We also present a recursive algorithm for on-line identification of such models. Examples based on automotive vehicle speed and road grade modeling are presented.
ISSN:0743-1619
2378-5861
DOI:10.1109/ACC.2010.5530610