Most of people have the habit of not cutting off power when equipment is shut down. This wastes a large amount of power. In view of this situation, an intelligent socket is proposed, which can produce operating states of electrical equipment through human-machine interaction and memorize these states in its non-volatile memory. With the number of use increasing, the socket can store more and more the running states of appliances and become more and more intelligent, which can make it cut off the power when appliances stop running and save a lot of power. This paper discusses the basic architecture of this kind of socket, abstracts two-tuple status model memorizing the running states of appliances, and designs the control algorithm based on the status model which can produce new running states or adjust old running states and yield instructions to power on or power off the socket.
To solve the problem that wheeled robot in the path tracking is prone to slip or roll over at a sharp curve, structure of the wheeled robot and its path tracking features are analyzed, and a new Fuzzy-Neural Network (FNN) based path tracking method of two-stage (route and speed) control is proposed. In the first stage, a FNN controller determines the robot’s turning radius by processing robot’s pose information. In the second stage, the secondary controller adjusts angular and linear velocities by taking advantage of the turning radius and condition of the path ahead. The experiments show that the controlled robot can track the planned path accurately and robustly when it runs at high speed; the process of path tracking is stable and no slipping and rolling occur.
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