TECHNOLOGY INTELLIGENT OPTIMIZATION AND SCHEDULING OF NETWORKED CONTROL SYSTEMS USING NEURAL NETWORK
This paper presents the use of Neural Networks (NN) for transmission time scheduling for the Networked Control System (NCS) where a network is widely used to connect sensors and actuators to the control systems. The need to respect typical timing constraints of the applications supported in these systems requires suitable scheduling strategies in order to devise an appropriate sequence for transmission of the information produced by the processes using the communication system. The proposed model for NCS scheduling assesses its computational complexity, pointing out the drastic reduction in the time needed to generate a schedule as compared with the algorithmic scheduling solutions. The applied approach allows real time NCS scheduling and makes it possible for the scheduling table to adapt the changes in process control features. Finally an on line scheduling strategy is developed based on the neural model which can achieve real time adaptation of the scheduling table changes in the manufacturing environment.