— In this paper, we present a stable receding horizon model predictive control for discrete-time nonlinear systems. The standard MPC scheme is modified to incorporate (1) a bloc...
Jing Sun, Ilya V. Kolmanovsky, Reza Ghaemi, Shuhao...
Prediction of time series is an important problem in many areas of science and engineering. Extending the horizon of predictions further to the future is the challenging and diffic...
Abstract-- This paper considers a recently proposed framework for experiment design in system identification for control. We will consider model based control design methods, such ...
—In this paper the GPC and NGPC model predictive control techniques are applied to a typical plant and compared in terms of computational efficiency. The system identification an...
D. N. Rao, M. R. K. Murthy, D. N. Harshal, S. R. M...
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...