Successive one-step-ahead predictions in multiple model predictive control
- 1 September 1998
- journal article
- research article
- Published by Taylor & Francis in International Journal of Systems Science
- Vol. 29 (9) , 971-979
- https://doi.org/10.1080/00207729808929589
Abstract
This paper proposes a multiple model predictive control scheme for the case where the scheduling variable is the output of the nonlinear plant. By means of model interpolation and successive predictions, the resulting nonlinear strategy makes use of all models available for calculating future error predictions. Consistently good performance indicated by a simulated example confirms the usefulness of the proposed method.Keywords
This publication has 11 references indexed in Scilit:
- Application of a gain scheduling generalized predictive controller to a solar power plantControl Engineering Practice, 1994
- The application of scheduled H/sub infinity / controllers to a VSTOL aircraftIEEE Transactions on Automatic Control, 1993
- Gain scheduling for H-infinity controllers: a flight control exampleIEEE Transactions on Control Systems Technology, 1993
- Dynamic scheduling of modern-robust-control autopilot designs for missilesIEEE Control Systems, 1992
- Design of controllers for linear parameter-varying systems by the gain scheduling techniqueJournal of Mathematical Analysis and Applications, 1992
- On the Convergence of the Multidirectional Search AlgorithmSIAM Journal on Optimization, 1991
- Analytical framework for gain schedulingIEEE Control Systems, 1991
- Analysis of gain scheduled control for nonlinear plantsIEEE Transactions on Automatic Control, 1990
- Generalized predictive control—Part I. The basic algorithmAutomatica, 1987
- A Simplex Method for Function MinimizationThe Computer Journal, 1965