An integrated modeling and robust model predictive control (MPC) approach is proposed for a class of nonlinear systems with unknown steady state. First, the nonlinear system is id...
Hui Peng, Zi-Jiang Yang, Weihua Gui, Min Wu, Hideo...
— The analysis of the EKF error sequence in [1] is expanded to the case with non-vanishing perturbations. The robust stability of NMPC and EKF pair is established. In addition, w...
Rui Huang, Sachin C. Patwardhan, Lorenz T. Biegler
Firstly, a method is introduced which uses Volterra series deploying technique to construct a nonlinear model based on OFS model. Then an improved novel incremental mode multiple s...
Haitao Zhang, Zonghai Chen, Ming Li, Wei Xiang, Ti...
Nonlinear model predictive control (MPC) of a simulated chaotic cutting process is presented. The nonlinear MPC combines a neural-network model and a genetic-algorithm-based optim...
In this paper we consider discrete-time nonlinear systems that are affected, possibly simultaneously, by parametric uncertainties and disturbance inputs. The min-max Model Predict...