Method of controlling motor vehicle

Boots – shoes – and leggings

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Details

36443104, 395905, 123361, 123480, F02D 4104

Patent

active

052008983

ABSTRACT:
A motor vehicle is controlled with a neural network which has a data learning capability. A present value of the throttle valve opening of the engine on the motor vehicle and a rate of change of the present value of the throttle valve opening are periodically supplied to the neural network. The neural network is controlled to learn the present value of the throttle valve opening when the rate of change of the present value of the throttle valve opening becomes zero so that a predicted value of the throttle valve opening approaches the actual value of the throttle valve opening at the time the rate of change thereof becomes zero. An operating condition of the motor vehicle is controlled based on the predicted value of the throttle valve opening, which is represented by a periodically produced output signal from the neural network.

REFERENCES:
patent: 4735181 (1988-04-01), Kaneko et al.
patent: 4868755 (1989-09-01), McNulty et al.
patent: 4896639 (1990-01-01), Holmes
patent: 5041976 (1991-08-01), Marko et al.
patent: 5083480 (1992-01-01), Abo et al.
"Using Neural Nets: Representing Knowledge" Part I, by Maureen Caudill, AI Expert, Dec. 1989, pp. 34-41.
"Learning to Control an Inverted Pendulum Using Neural Networks" by C. W. Anderson, IEEE Control System Magazine, Apr. 1989, pp. 31-37.

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