Convex Computation of Extremal Invariant Measures of Nonlinear Dynamical Systems and Markov Processes
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Nonlinear Science"
DOI: 10.1007/s00332-020-09658-1
Abstract: We propose a convex-optimization-based framework for computation of invariant measures of polynomial dynamical systems and Markov processes, in discrete and continuous time. The set of all invariant measures is characterized as the feasible set of… read more here.
Keywords: computation; systems markov; measure; dynamical systems ... See more keywords
Recurrent, nonequilibrium systems and the Markov blanket assumption
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DOI: 10.1017/s0140525x22000309
Abstract: Abstract Markov blankets – statistical independences between system and environment – have become popular to describe the boundaries of living systems under Bayesian views of cognition. The intuition behind Markov blankets originates from considering acyclic,… read more here.
Keywords: nonequilibrium systems; markov blankets; recurrent nonequilibrium; blanket assumption ... See more keywords
Assembly support systems with Markov predictors
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DOI: 10.1080/12460125.2020.1788798
Abstract: ABSTRACT In this paper, we analyse Markov prediction as a suitable model to suggest the next assembly step in the manufacturing process. The goal is a decision support system which can assist the workers in… read more here.
Keywords: assembly support; support systems; systems markov; markov predictors ... See more keywords
Robust Stability Analysis of Linear Parameter-Varying Systems With Markov Jumps
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2021.3132231
Abstract: This article presents conditions to assure the mean-square stability of linear parameter-varying systems with Markov jumps. The model dynamics are driven not only by a Markov chain but also by time-varying parameters that take values… read more here.
Keywords: varying systems; stability; systems markov; parameter varying ... See more keywords