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Computerized determination of control strategy for technical system involves using reinforcement learning to determine control strategy for each state and learn optimal actions
Computerized determination of control strategy for technical system involves using reinforcement learning to determine control strategy for each state and learn optimal actions
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机译：计算机确定技术系统的控制策略涉及使用强化学习来确定每种状态的控制策略并学习最佳操作
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摘要
The method involves describing the system using a continuous state space and an action space. A state change assessment is performed and a model of the technical system is determined using training data describing the system by forming fuzzy association functions. The functions are fed to a reinforcement learning method with which a control strategy is determined for each state in state space and the optimal actions in action space are learned. The method involves describing the system using a continuous state space and an action space, whereby the state space has states that the technical system can adopt and the action space has actions that are carried out to produce a state change from a previous state to a subsequent state in state space. An assessment of the state change is performed and a model of the technical system is determined using training data describing the system by forming fuzzy association functions with which at least the state space state space is described. The fuzzy association functions are fed to a reinforcement learning method with which a control strategy is determined for each state in state space and the optimal actions in action space are learned. Independent claims are also included for the following: a fuzzy controller for determining a control strategy for a technical system and a computer-readable storage medium.
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