Residual activation neural network

Details Residual activation neural network Residual activation neural network

2006-01-10

2006-01-10

Patel, Ramesh (Department: 2121)

Data processing: generic control systems or specific application

Generic control system, apparatus or process

Optimization or adaptive control

C700S029000, C700S030000, C700S045000, C700S048000, C700S052000, C700S053000, C706S023000, C706S025000, C706S028000

Reexamination Certificate

active

06985781

ABSTRACT:
A plant is operable to receive control inputs c(t) and provide an output y(t). The plant (72) has associated therewith state variables s(t) that are not variable. A control network (74) models the plant by providing a predicted output which is combined with a desired output to generate an error that is back propagated through an inverse control network to generate a control error signal that is input to a distributed control system to vary the control inputs to the plant in order to change the output y(t) to meet the desired output. The inverse model represents the dependencies of the plant output on the control variables parameterized by external influences to the plant.

REFERENCES:
patent: 4928484 (1990-05-01), Peczkowski
patent: 5111531 (1992-05-01), Grayson et al.
patent: 5113483 (1992-05-01), Keeler et al.
patent: 5311421 (1994-05-01), Nomura et al.
patent: 5353207 (1994-10-01), Keeler et al.
patent: 5386373 (1995-01-01), Keeler et al.
patent: 5402519 (1995-03-01), Inoue et al.
patent: 5548528 (1996-08-01), Keeler et al.
patent: 5559690 (1996-09-01), Keeler et al.
patent: 5796920 (1998-08-01), Hyland
patent: 5859773 (1999-01-01), Keeler et al.
patent: 6363289 (2002-03-01), Keeler et al.
patent: 6381504 (2002-04-01), Havener et al.
patent: 645025 (1998-11-01), None

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