In this paper, a novel SIQR infectious disease model is proposed, which takes into account the effects of isolation bins and media coverage on transmission, and introduces Brownian motion to describe the uncertainty i...
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ISBN:
(纸本)9798350366907;9789887581581
In this paper, a novel SIQR infectious disease model is proposed, which takes into account the effects of isolation bins and media coverage on transmission, and introduces Brownian motion to describe the uncertainty in the system. Vaccination is added as an optimal control strategy in order to effectively control the infectious disease and reduce the cost. Since the nonlinear HJB equations are more complex and difficult to solve in continuous-time nonlinear systems subject to random perturbations, the online execution and judging neural network technique is used to solve the optimal control strategy more efficiently and accurately when the weighting parameters are dynamically adjusted according to the real-time data. Simulation examples verify that the method can effectively control the spread of infectious diseases.
In this paper,a novel SIQR infectious disease model is proposed,which takes into account the effects of isolation bins and media coverage on transmission,and introduces Brownian motion to describe the uncertainty in t...
详细信息
ISBN:
(数字)9789887581581
ISBN:
(纸本)9798350366907
In this paper,a novel SIQR infectious disease model is proposed,which takes into account the effects of isolation bins and media coverage on transmission,and introduces Brownian motion to describe the uncertainty in the *** is added as an optimal control strategy in order to effectively control the infectious disease and reduce the *** the nonlinear HJB equations are more complex and difficult to solve in continuous-time nonlinear systems subject to random perturbations,the online execution and judging neural network technique is used to solve the optimal control strategy more efficiently and accurately when the weighting parameters are dynamically adjusted according to the real-time *** examples verify that the method can effectively control the spread of infectious diseases.
This paper proposes a Morkov state transition model for an isolated intersection in urban traffic and formulates the traffic signal control problem as a Markov Decision Process(MDP). In order to reduce computational b...
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In this paper, we study the nth-bias optimality problem for finite continuous-time Markov decision processes (MDPs) with a multichain structure. We first provide nth-bias difference formulas for two policies and prese...
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In this paper, we study the nth-bias optimality problem for finite continuous-time Markov decision processes (MDPs) with a multichain structure. We first provide nth-bias difference formulas for two policies and present some interesting characterizations of an nth-bias optimal policy by using these difference formulas. Then, we prove the existence of an nth-bias optimal policy by using nth-bias optimal policy iteration algorithms, and show that Such an nth-bias optimal policy can be obtained in a finite number of policyiterations. (C) 2009 Elsevier Ltd. All rights reserved.
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