1
James D Keeler, Eric J Hartman, Kadir Liano, Ralph B Ferguson: Residual activation neural network. Pavilion Technologies, Ross Howison Clapp & Korn, October 4, 1994: US05353207 (114 worldwide citation)

A plant (72) 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) is provided that accurately models the plant (72). The output of the control network (74) provides a predicte ...


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James D Keeler, Eric J Hartman, Kadir Liano, Ralph B Ferguson: Residual activation neural network. Pavilion Technologies, Gregory M Howison, September 24, 1996: US05559690 (87 worldwide citation)

A plant (72) 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) is provided that accurately models the plant (72). The output of the control network (74) provides a predicte ...


3
James David Keeler, Eric Jon Hartman, Kadir Liano, Ralph Bruce Ferguson: Residual activation neural network. Pavilion Technologies, Gregory M Howison, January 12, 1999: US05859773 (73 worldwide citation)

A plant (72) 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) is provided that accurately models the plant (72). The output of the control network (74) provides a predicte ...


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James David Keeler, Eric Jon Hartman, Kadir Liano, Ralph Bruce Ferguson: Residual activation neural network. Pavilion Technologies, Howison & Arnott, January 10, 2006: US06985781 (5 worldwide citation)

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 ...


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Keeler James David, Hartman Eric Jon, Liano Kadir, Ferguson Ralph Bruce: Residual activation neural network.. Pavilion Tech, March 29, 1995: EP0645025-A1 (1 worldwide citation)

A plant (72) 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) is provided that accurately models the plant (72). The output of the control network (74) provides a predicte ...


7
James David Keeler, Eric Jon Hartman, Kadir Liano, Ralph Bruce Ferguson: Residual activation neural network. Ross Howison Clapp & Korn, July 4, 2002: US20020087221-A1

A plant (72) 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) is provided that accurately models the plant (72). The output of the control network (74) provides a predicte ...


8
Keeler James David, Hartman Eric Jon, Liano Kadir, Ferguson Ralph Bruce: Residual activation neural network. Pavilion Technologies, HOWISON Gregory M, December 23, 1993: WO/1993/025943

A plant (72) 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) is provided that accurately models the plant (72). The output of the control network (74) provides a predicte ...