Results 171 to 180 of about 1,517,214 (350)
Asymptotic Optimization of a Nonlinear Hybrid System Governed by a Markov Decision Process [PDF]
, 1997 Eitan Altman, Vladimir Gaitsgory
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Asian Journal of Control, EarlyView.Abstract This paper investigates the problem of observer‐based sliding mode control (SMC) of stochastic uncertain Markov jump systems using dual‐driven event‐triggered mechanism (ETM). The ETM is implemented not only in the system output to the observer channel but also in the feedback channel, forming a dual ETM, which can effectively reduce ...
Haocheng Lou +2 more
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Modeling the spatial evolution wildfires using random spread process
Environmetrics, Volume 33, Issue 8, December 2022., 2022 Abstract The study of wildfire spread and the growth of the area burned is an important task in ecological studies and in other contexts. In this work we present a model for fire spread and show the results obtained from simulations of burned areas. The model is based on probabilities of fire at different locations. Such probabilities are obtained from
Carlos Díaz‐Avalos, Pablo Juan
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Asian Journal of Control, EarlyView.Abstract This paper focuses on the issue of adaptive event‐triggered containment control for Markov jump multi‐agent systems characterized by hidden Markov jump parameters. The central objective is to design an output‐feedback controller for the Markov jump multi‐agent system by using an adaptive event‐triggered technique that not only ensures the ...
Parivallal Arumugam +3 more
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International Journal of Energy Research, Volume 46, Issue 15, Page 22516-22529, December 2022., 2022 This study presents a control oriented, stochastic filtering approach for online, continuous estimation of the exchange current density in low temperature proton exchange membrane fuel cells. The fuel cell is framed as a Markov model where the exchange current density is posed as the stochastic hidden state and a particle filter algorithm is developed ...
José Agustín Aguilar +2 more
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Optimal electricity supply bidding by Markov decision process [PDF]
, 2000 Hwachang Song +3 more
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Regional Shopping Objectives in British Grocery Retail Transactions Using Segmented Topic Models
Applied Stochastic Models in Business and Industry, EarlyView.ABSTRACT Understanding the customer behaviours behind transactional data has high commercial value in the grocery retail industry. Customers generate millions of transactions every day, choosing and buying products to satisfy specific shopping needs.
Mariflor Vega Carrasco +4 more
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Model Bias Identification for Bayesian Calibration of Stochastic Digital Twins of Bridges
Applied Stochastic Models in Business and Industry, EarlyView.ABSTRACT Simulation‐based digital twins must provide accurate, robust, and reliable digital representations of their physical counterparts. Therefore, quantifying the uncertainty in their predictions plays a key role in making better‐informed decisions that impact the actual system.
Daniel Andrés Arcones +3 more
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Comparing Risks for Binomial Reliability Assurance Test Planning
Applied Stochastic Models in Business and Industry, EarlyView.ABSTRACT Balancing consumer's and producer's risk is an important consideration when planning tests. Instead of focusing on finding a single best test plan, we introduce a general framework to systematically identify a set of binomial test plans by leveraging the inverse relationship between the two risks.
Hyoshin Kim, Alyson G. Wilson
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NUMERICAL ENCLOSURE FOR THE OPTIMAL THRESHOLD PROBABILITY IN DISCOUNTED MARKOV DECISION PROCESSES [PDF]
, 2000 Kenji Toyonaga, T. Mitsuhiro Nakao
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