JAMES R MCCUSKER
Engineering in East Bridgewater, MA

License number
Massachusetts 19388
Issued Date
Apr 21, 2001
Type
Engineer in Training
Address
Address
East Bridgewater, MA 02333

Personal information

See more information about JAMES R MCCUSKER at radaris.com
Name
Address
Phone
James Mccusker
46 Newport Dr, Westford, MA 01886
(978) 692-8083
James Mccusker, age 99
44 Oak St, Randolph, MA 02368
James Mccusker
5 Adams Ct, S Deerfield, MA 01373
(413) 665-3157
James Mccusker
97 Elsie Rd, Brockton, MA 02302
James Mccusker
889 E 4Th St #1, Boston, MA 02127
(617) 957-3366

Professional information

See more information about JAMES R MCCUSKER at trustoria.com
James Mccusker Photo 1
Systems And Methods For Parameter Adaptation

Systems And Methods For Parameter Adaptation

US Patent:
2011016, Jul 7, 2011
Filed:
Oct 12, 2010
Appl. No.:
12/902687
Inventors:
Kourosh Danai - Amherst MA, US
James R. McCusker - East Bridgewater MA, US
International Classification:
G06F 15/18, G06N 5/02
US Classification:
706 12, 706 45
Abstract:
A method of parameter adaptation is used to modify the parameters of a model to improve model performance. The model separately estimates the contribution of each model parameter to the prediction error. It achieves this by transforming to the time-scale plane the vectors of output sensitivities with respect to model parameters and then identifying the regions within the time-scale plane at which the dynamic effect of individual model parameters is dominant on the output. The method then attributes the prediction error in these regions to the deviation of a single parameter from its true value as the basis of estimating individual parametric errors. The proposed Signature Isolation Method (PARSIM) then uses these estimates to adapt individual model parameters independently of the others, implementing, in effect, concurrent adaptation of individual parameters by the Newton-Raphson method in the time-scale plane. The Signature Isolation Method has been found to have an adaptation precision comparable to that of the Gauss-Newton method for noise-free cases. However, it surpasses the Gauss-Newton method in precision when the output is contaminated with noise or when the measurements are generated by inadequate excitation.