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首页> 外文期刊>Automatic Control, IEEE Transactions on >Formal Synthesis of Control Policies for Continuous Time Markov Processes From Time-Bounded Temporal Logic Specifications
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Formal Synthesis of Control Policies for Continuous Time Markov Processes From Time-Bounded Temporal Logic Specifications

机译:时限时间逻辑规范对连续时间马尔可夫过程控制策略的形式综合

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摘要

We consider the control synthesis problem for continuous-time Markov decision processes (CTMDPs), whose expected behaviors are measured by the satisfaction of Continuous Stochastic Logic (CSL) formulas. We present an extension of the CSL for CTMDPs involving sequential task specifications with continuous time constraints on the execution of those tasks. We then exploit model checking and time-bounded reachability algorithms to solve the CSL control synthesis problem. To illustrate the feasibility and effectiveness of our approach, we apply our methods to generate the optimal rate constants of a coupled set of biochemical reactions.
机译:我们考虑连续时间马尔可夫决策过程(CTMDP)的控制综合问题,其预期行为通过连续随机逻辑(CSL)公式的满意程度来衡量。我们介绍了CTMDP的CSL扩展,其中涉及顺序任务规范,并且在执行这些任务时有连续的时间限制。然后,我们利用模型检查和时限可达性算法来解决CSL控制综合问题。为了说明该方法的可行性和有效性,我们应用我们的方法来生成一组耦合的生化反应的最佳速率常数。

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