ADAPTIVE PREDICTIVE CONTROL WITH MEAN-SQUARE INPUT CONSTRAINT

• Type: Another Publication in an International Scientific Journal
• Date: 1992

Authors

MOSCA, E (Author) Other; LEMOS, JM (Author) Other; MENDONCA, TF (Author) FCUP; NISTRI, P (Author) Other

Journal

Title: Automatica

Vol. 28

Pages: 593-597

ISSN: 0005-1098

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 5 Citations

Scopus - 8 Citations

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

Other information

Authenticus ID: P-001-PKM

DOI: 10.1016/0005-1098(92)90183-g

Abstract (EN): Convergence properties of a self-tuning regulator incorporating an input mean-square constraint are studied. An algorithm, derived from the long-range controller MUSMAR, is considered. For this algorithm, using the ODE method for analysing stochastic recursive algorithms and singularly perturbed ODE theory, a local convergence result is proved. This result characterizes possible convergence points of the algorithm as the constrained minima of the underlying steady-state quadratic cost. The actual convergence of the algorithm to the possible equilibrium points predicted by theory is verified by means of simulation examples including unmodelled plant dynamics.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 5