Adaptive Decision and Robust Control Under Parallel Precedence Constraints in Human Strategy Modeling

In order to disclose possible links and implications pertaining to aircraft performance, flight safety, and human factors in the aviation system, an optimal controller, a robust controller, and an adaptive decision maker were devised and organized within the pattern-oriented framework of human strategy modeling, to provide adaptive decision and robust control with dynamic input tactics and parallel precedence for better phase-and-amplitude responses, as invoked and measured by the human-like characteristics of hoping for the best, being prepared for the worst, and ensuring for the average. Our human strategy model was applied for a flight mission consisting of the final approach and the landing flare of a large commercial aircraft on our fast-time computation platform. The experiment results demonstrated that the synthesized intelligent behavior for the mission tasks met the expectations of these human-like characteristics, which suggested that the human strategy model could play a better role in advancing the computational analysis of human-machine interaction.