The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 26, 2008

Filed:

Apr. 12, 2005
Applicants:

Anthony J. Calise, Atlanta, GA (US);

Naira Hovakimyan, Smyrna, GA (US);

Moshe Idan, Haifa, IL;

Inventors:

Anthony J. Calise, Atlanta, GA (US);

Naira Hovakimyan, Smyrna, GA (US);

Moshe Idan, Haifa, IL;

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G05B 13/02 (2006.01); G06E 1/00 (2006.01); G06E 3/00 (2006.01); G06F 15/18 (2006.01); G06G 7/00 (2006.01);
U.S. Cl.
CPC ...
Abstract

An adaptive control system (ACS) uses direct output feedback to control a plant. The ACS uses direct adaptive output feedback control developed for highly uncertain nonlinear systems, that does not rely on state estimation. The approach is also applicable to systems of unknown, but bounded dimension, whose output has known, but otherwise arbitrary relative degree. This includes systems with both parameter uncertainty and unmodeled dynamics. The result is achieved by extending the universal function approximation property of linearly parameterized neural networks to model unknown system dynamics from input/output data. The network weight adaptation rule is derived from Lyapunov stability analysis, and guarantees that the adapted weight errors and the tracking error are bounded.


Find Patent Forward Citations

Loading…