Moving horizon control of nonlinear systems with input saturation, disturbances and plant uncertainty

1 October 1993

journal article
research article
Published by Taylor & Francis in International Journal of Control

Vol. 58 (4) , 875-903
https://doi.org/10.1080/00207179308923033

Abstract

We present a moving horizon feedback system, based on constrained optimal control algorithms, for nonlinear plants with input saturation, disturbances and plant uncertainty. The system is a non-conventional sampled-data system: its sampling periods vary from sampling instant to sampling instant, and the control during the sampling time is not constant, but determined by the solution of an open loop optimal control problem. We show that the proposed moving horizon control system is robustly stable and is capable of attenuating L∞ bounded disturbances.

Keywords

This publication has 9 references indexed in Scilit:

Receding horizon control of nonlinear systems
IEEE Transactions on Automatic Control, 1990
Model predictive control: Theory and practice—A survey
Automatica, 1989
Application of generalized predictive control to industrial processes
IEEE Control Systems Magazine, 1988
Generalized predictive control—Part I. The basic algorithm
Automatica, 1987
Optimal Control
Published by Springer Nature ,1987
Stabilizing state-feedback design via the moving horizon method
International Journal of Control, 1983
On receding horizon feedback control
Automatica, 1982
Design of nonlinear feedback controllers
IEEE Transactions on Automatic Control, 1981
A modified quadratic cost problem and feedback stabilization of a linear system
IEEE Transactions on Automatic Control, 1977