Brief Paper: Multivariable generalized state-space receding horizon control in a real-time environment

Authors:
Adrian Gambier;Heinz Unbehauen
Affiliations:
Control Engineering Laboratory (ESR), Department of Electrical Engineering and Information Technology, Ruhr-University, D-44780 Bochum, Germany;Control Engineering Laboratory (ESR), Department of Electrical Engineering and Information Technology, Ruhr-University, D-44780 Bochum, Germany
Venue:
Automatica (Journal of IFAC)
Year:
1999

Citing 5
Cited 0

Generalized predictive control—Part I. The basic algorithm

Automatica (Journal of IFAC)
Model predictive control: theory and practice—a survey

Automatica (Journal of IFAC)
Multivariable continuous-time generalized predictive control (MCGPC)

Automatica (Journal of IFAC)
N4SID: subspace algorithms for the identification of combined deterministic-stochastic systems

Automatica (Journal of IFAC) - Special issue on statistical signal processing and control
Paper: Model predictive heuristic control

Automatica (Journal of IFAC)

Quantified Score

Hi-index	22.14

Visualization

Abstract

The results of a multivariable generalized state-space receding horizon control, applied to a turbo-generator pilot plant, are reported in this paper. The control algorithm consists of a state-space receding horizon tracking system, a compensator for piecewise constant random disturbances, and a state and disturbances estimator based on an augmented Kalman filter. The turbo-generator consisting of a turbine and a synchronous generator exhibits nonlinear and nonminimum-phase behaviour in a stochastic environment.