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本文提出了一种理论方法,用以处理在不可预知环境中需要进行高级决策的人-机对话系统。该多级方法由“智能逐级增高而精度逐级降低”的三级控制组成。最低一级包括几个控制器,它们按最优控制的近似理论并利用现有硬件进行有效控制。第二级是协调器,以新的计算机结构来有效地控制所有硬件系统。最高级是监督整个系统性能的组织级。较高的两级由计算机实现,其研究的重点则在于开发一些适用的结构与软件。最低一级的目的是执行终点控制,主要以典型的硬件控制方法实现。这两种手段的共同存在使得该方法较为新颖。本文研究了智能控制技术在机器人和操作器系统中的应用。
This paper presents a theoretical approach to handling human-machine dialogue systems that require advanced decision making in an unpredictable environment. The multi-level method consists of three levels of control, “smart and step-by-step increase in accuracy and reduce the level of” composition. The lowest level includes several controllers, which are effectively controlled by the approximation theory of optimal control and using existing hardware. The second level is the coordinator, with a new computer architecture to effectively control all hardware systems. The highest level is the organizational level that oversees the overall system performance. The two higher levels are computer-based and their research focuses on developing suitable structures and software. The purpose of the lowest level is to perform end-point control, mainly in the form of a typical hardware control method. The coexistence of these two means makes the method more novel. This paper studies the application of intelligent control technology in the robot and operator system.