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Implementation of Compound Knowledge in Learning Control System for Obstacle and Goal Consideration

机译:障碍和目标考虑学习控制系统中的复合知识

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A learning based control system often being limited to the environment where the learning occurs. Applying a number of control function for any operation's environment could provide flexibility in executing an operation. However, a method of utilizing all the applied control functions into an operation requires a method of implementing all the control knowledge into one applicable source at the required moment. Here, a method of Learning Control that utilizes multiple Control Functions by Compound Control Knowledge is proposed for a control system. The proposed method was applied for obstacle and goal consideration functions. The results shows that the system was able to utilize the Compound Control Knowledge in prioritizing the usage of the required control function for the condition assigned.
机译:基于学习的控制系统通常仅限于所发生学习的环境。 对任何操作的环境应用许多控制功能可以在执行操作方面提供灵活性。 然而,利用所有应用的控制功能进入操作的方法需要在所需时刻将所有控制知识实现所有控制知识的方法。 这里,提出了一种用于通过化合物控制知识利用多个控制功能的学习控制的方法,用于控制系统。 拟议的方法用于障碍和目标考虑功能。 结果表明,该系统能够利用化合物控制知识在优先考虑所需控制功能的使用情况下分配的条件。

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