Model predictive control (MPC) includes a receding-horizon control techniques based on the process model for predictions of the plant output. Since late 1970’s several MPC approaches have been reported in the literature. Selection of the most appropriate MPC approach depend on the specific problem. In this paper, discrete time MPC is applied to a inverted pendulum system coupled to a cart. The ...

We propose a novel method to iteratively improve the performance of constrained clustering and feature learning based on Convolutional Neural Networks (CNNs). There is no effective strategy for neither the constraint selection nor the distance metric learning in traditional constrained clustering methods. In our work, we design an effective constraint selection strategy and combine a CNN-based ...