Article thumbnail
Location of Repository

A stable one-step-ahead predictive control of non-linear systems

By C. Kambhampati, J.D. Mason and Kevin Warwick

Abstract

In this paper stability of one-step ahead predictive controllers based on non-linear models is established. It is shown that, under conditions which can be fulfilled by most industrial plants, the closed-loop system is robustly stable in the presence of plant uncertainties and input–output constraints. There is no requirement that the plant should be open-loop stable and the analysis is valid for general forms of non-linear system representation including the case out when the problem is constraint-free. The effectiveness of controllers designed according to the algorithm analyzed in this paper is demonstrated on a recognized benchmark problem and on a simulation of a continuous-stirred tank reactor (CSTR). In both examples a radial basis function neural network is employed as the non-linear system model

Publisher: Elsevier
Year: 2000
DOI identifier: 10.1016/s0005-1098(99)00173-9
OAI identifier: oai:centaur.reading.ac.uk:17796
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://dx.doi.org/10.1016/S000... (external link)
  • http://www.sciencedirect.com/s... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.