Method for adaptive control of human-machine systems employing disturbance response

Adaptive control of a system with a human in the loop is accomplished by sensing human operator reactions to a disturbance in the system and characterizing the operator response to the disturbance. The operator response is characterized in one of several forms by predicting a response based on a model quantifying a response based on statistics or merely measuring a response for accumulation of data to be employed by an artificial intelligent system. The disturbance which provides the human operator reaction, is applied or occurs naturally based on other stimulus and is measured by the system. Quantifying the results of the disturbance and the operator response comparison allows selection of a control mode by identifying one or more categories of reaction response or a graduated modification of the control law employed in the system. Various modes or categories for control of the system incorporate different sensitivities on a macro scale or an entirely different control algorithm. Graduated adaptation alters sensitivity or other perimeters in the system at a micro level incrementally throughout given ranges of control.