MULTIVARIABLE CONTINUOUS-TIME GENERALIZED PREDICTIVE CONTROL - A STATE-SPACE APPROACH TO LINEAR AND NONLINEAR-SYSTEMS

Citation
Pj. Gawthrop et al., MULTIVARIABLE CONTINUOUS-TIME GENERALIZED PREDICTIVE CONTROL - A STATE-SPACE APPROACH TO LINEAR AND NONLINEAR-SYSTEMS, IEE proceedings. Control theory and applications, 145(3), 1998, pp. 241-250
Citations number
26
Categorie Soggetti
Robotics & Automatic Control","Instument & Instrumentation","Engineering, Eletrical & Electronic","Robotics & Automatic Control
ISSN journal
13502379
Volume
145
Issue
3
Year of publication
1998
Pages
241 - 250
Database
ISI
SICI code
1350-2379(1998)145:3<241:MCGPC->2.0.ZU;2-J
Abstract
The multivariable continuous-time generalised predictive controller (C GPC) is recast in a state-space form and shown to include generalised minimum variance (GMV) and a new algorithm, predictive GMV (PGMV) as s pecial cases. Comparisons are drawn with the exact linearisation metho ds of nonlinear control, and it is noted that, unlike the transfer fun ction approach, the state-space approach extends readily to the nonlin ear case. The resulting state space design algorithms are conceptually and algorithmically simpler than the corresponding transfer function based versions and have been realised as a freely available Matlab too l-box.