Search Results - "policy-iteration algorithm"

Condition-based maintenance with dynamic thresholds for a system using the proportional hazards model by Zheng, Rui, Chen, Bingkun, Gu, Liudong

“…•Optimization by a modified policy-iteration algorithm in the SMDP framework.•Consideration of non-stationary continuous-state PHM covariate process…”
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Surgical scheduling under uncertainty by approximate dynamic programming by Silva, Thiago A.O., de Souza, Mauricio C.

“… Patients can be elective or emergency/urgent. The scheduling of surgeries in an operating theatre with common resources to emergency or urgent and elective cases is highly subject to uncertainties…”
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An Optimal Reprofiling Policy for High-Speed Train Wheels Subject to Wear and External Shocks Using a Semi-Markov Decision Process by Mingcheng, E., Li, Bing, Jiang, Zengqiang, Li, Qi

“…Wheels are one of the three components of rail vehicles that are most affected by wear, having significant implications on safety and comfort. For the safety…”
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Neuro-Control for Continuous-Time Stochastic Nonlinear Systems via Online Policy Iteration Algorithm by Zhou, Tianmin, Hou, Jiaxu, Li, Handong, Di, Zengru, Zhao, Bo

“… modified value function of conditional expectation. To solve the Hamilton-Jacobi-Bellman equation, a novel online policy iteration algorithm with an Ito correction term…”
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Optimal maintenance policy for a multi-state deteriorating system with two types of failures under general repair by Kim, Michael Jong, Makis, Viliam

“… A modified policy-iteration algorithm using the embedded technique is developed as the computational approach used to find the optimal maintenance policy…”
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Stability Problems for Stochastic Models: Theory and Applications

“…The aim of this Special Issue of Mathematics is to commemorate the outstanding Russian mathematician Vladimir Zolotarev, whose 90th birthday will be celebrated…”
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Nonlinear two-player zero-sum game approximate solution using a Policy Iteration algorithm by Johnson, M., Bhasin, S., Dixon, W. E.

“…An approximate online solution is developed for a two-player zero-sum game subject to continuous-time nonlinear uncertain dynamics and an infinite horizon quadratic cost…”
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Coordinated Replenishments in a Multi-Item Inventory System with Compound Poisson Demands by Federgruen, A, Groenevelt, H, Tijms, H. C

“… We present an algorithm which searches for a simple coordinated control rule minimizing the long-run average cost per unit time subject to a service level constraint per item on the fraction…”
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A repair-replacement policy for a system subject to missions of random types and random durations by Zheng, Rui, Zhao, Xufeng, Hu, Chaoming, Ren, Xiangyun

“…) policies that are restricted mainly to certain missions. This paper investigates the optimization problem of a repair-replacement policy for systems subject…”
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A hybrid repair-replacement policy in the proportional hazards model by Zheng, Rui, Wang, Jingjing, Zhang, Yingzhi

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Robust Policy Iteration for Continuous-Time Linear Quadratic Regulation by Pang, Bo, Bian, Tao, Jiang, Zhong-Ping

“… Based on this result, an off-policy data-driven policy iteration algorithm for the LQR problem is shown to be robust when the system dynamics are subject to small additive unknown bounded disturbances. The theoretical results are validated by a numerical example…”
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Structured replacement policies for a system subject to random mission types by Zheng, Rui

“… under a fixed mission type but is subject to an infinite sequence of random types of missions assigned in a Markovian manner…”
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A Lyapunov characterization of robust policy optimization by Cui, Leilei, Jiang, Zhong-Ping

“… Lyapunov’s direct method, it is shown that, if the noise is sufficiently small, the policy iteration algorithm converges to a small neighborhood of the optimal solution even in the presence of noise at each iteration…”
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Joint optimization of lot sizing and condition-based maintenance for a production system using the proportional hazards model by Zheng, Rui, Zhou, Yifan, Gu, Liudong, Zhang, Zhisheng

“…•Modified policy-iteration algorithm for semi-Markov decision problem optimization.•Consideration of two scenarios for making corrective maintenance decisions…”
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Adaptive dynamic programming-based decentralised control for large-scale nonlinear systems subject to mismatched interconnections with unknown time-delay by Wu, Qiuye, Zhao, Bo, Liu, Derong

“… Then, based on the observer-critic architecture, the decentralised optimal control policy is achieved by solving local Hamiltonian-Jacobi-Bellman equation via local policy iteration algorithm…”
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Modeling of Stochastic SIQR Infectious Disease Models and Optimal Control by Liu, Lu, Zhang, Yi, Zhang, Kexin

“… 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…”
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Condition-based maintenance for a balanced system considering dependent soft and hard failures by Zheng, Rui, Fang, Haojun, Peng, Zhanglin

“… The core component is subject to hard failure and the failure rate depends on its age and the balance condition quantified by the deterioration difference between balanced…”
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Maintenance optimization considering the mutual dependence of the environment and system with decreasing effects of imperfect maintenance by Gan, Shuyuan, Hu, Hengheng, Coit, David W.

“…•Consider multi-state system and environment and address their mutual dependence.•Establish the delay of environment recovery after imperfect maintenance…”
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Optimal condition-based maintenance with general repair and two dependent failure modes by Zheng, Rui, Makis, Viliam

“…) policy for a system subject to dependent soft and hard failures. When the deterioration exceeds a predetermined level, the system experiences a soft failure that can be rectified by corrective general repair or corrective replacement…”
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Adaptive monitoring scheme of stochastically failing systems under hidden degradation processes by Duan, Chaoqun, Li, Yifan, Pu, Huayan, Luo, Jun

“…•Development of an adaptive monitoring scheme for fault detection.•Multivariate hidden Markov model describes the deterioration process.•SMDP approach to…”
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