Results 11 to 20 of about 18,829 (175)
Optimal Control of Partially Observable Piecewise Deterministic Markov Processes
SIAM Journal on Control and Optimization, 2018 In this paper we consider a control problem for a Partially Observable Piecewise Deterministic Markov Process of the following type: After the jump of the process the controller receives a noisy signal about the state and the aim is to control the ...
Bäuerle, Nicole, Lange, Dirk
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Reinforcement Learning for Robust Dynamic Metabolic Control. [PDF]
Biotechnol BioengABSTRACT Dynamic metabolic control allows key metabolic fluxes to be modulated in real time, enhancing bioprocess flexibility and expanding available optimization degrees of freedom. This is achieved, for example, via targeted modulation of metabolic enzyme expression.
Espinel-Ríos S, Walser R, Zhang D.
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Hybrid Semantics of Stochastic Programs with Dynamic Reconfiguration [PDF]
Electronic Proceedings in Theoretical Computer Science, 2009 We begin by reviewing a technique to approximate the dynamics of stochastic programs --written in a stochastic process algebra-- by a hybrid system, suitable to capture a mixed discrete/continuous evolution.
Alberto Policriti, Luca Bortolussi
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Model Checking of Continuous-Time Markov Chains Against Timed Automata Specifications [PDF]
Logical Methods in Computer Science, 2011 We study the verification of a finite continuous-time Markov chain (CTMC) C against a linear real-time specification given as a deterministic timed automaton (DTA) A with finite or Muller acceptance conditions.
Taolue Chen +3 more
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Hypocoercivity of piecewise deterministic Markov process-Monte Carlo [PDF]
The Annals of Applied Probability, 2021 In this work, we establish $\mathrm{L}^2$-exponential convergence for a broad class of Piecewise Deterministic Markov Processes recently proposed in the context of Markov Process Monte Carlo methods and covering in particular the Randomized Hamiltonian Monte Carlo, the Zig-Zag process and the Bouncy Particle Sampler. The kernel of the symmetric part of
Andrieu, Christophe +3 more
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A coordination model for ultra-large scale systems of systems [PDF]
Electronic Proceedings in Theoretical Computer Science, 2013 The ultra large multi-agent systems are becoming increasingly popular due to quick decay of the individual production costs and the potential of speeding up the solving of complex problems.
Manuela L. Bujorianu +1 more
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Demographic noise and piecewise deterministic Markov processes [PDF]
Physical Review E, 2012 11 pages, 5 figures, minor ...
Realpe-Gomez, John +2 more
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Piecewise-Deterministic Markov Processes as Limits of Markov Jump Processes [PDF]
Advances in Applied Probability, 2012 A classical result about Markov jump processes states that a certain class of dynamical systems given by ordinary differential equations are obtained as the limit of a sequence of scaled Markov jump processes. This approach fails if the scaling cannot be carried out equally across all entities.
Franz, Uwe +2 more
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Effects of delayed immune-response in tumor immune-system interplay [PDF]
Electronic Proceedings in Theoretical Computer Science, 2012 Tumors constitute a wide family of diseases kinetically characterized by the co-presence of multiple spatio-temporal scales. So, tumor cells ecologically interplay with other kind of cells, e.g. endothelial cells or immune system effectors, producing and
Alberto d'Onofrio +4 more
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On level crossings for a general class of piecewise-deterministic Markov processes [PDF]
, 2007 We consider a piecewise-deterministic Markov process governed by a jump intensity function, a rate function that determines the behaviour between jumps, and a stochastic kernel describing the conditional distribution of jump sizes.
Borovkov, K. A., Last, G.
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