Data-Driven Control Based on Function Approximation with Binomial Coefficients

This paper investigates data-driven control methods based on function approximation with binomial coefficients and sampling techniques. We propose two approximate models and corresponding controllers formed from sampled data. It shows that the information truncated in the first approximate model is saved in the latter with parameter estimation method. Simulation results validate the effectiveness of proposed approaches.