Recent Advances in Robust Control Theory
نویسنده
چکیده
The problem of modeling-uncertainties that may not conform to assumed prior bounds is considered from an adaptive control perspective, but without the standard assumptions of adaptive control. A supervisory control architecture is employed, based on the data-driven logic of unfalsification. The supervisory controller modifies or replaces controllers when sensor data falsifies the hypothesis that the currently active controller is insufficiently robust to satisfy performance goals. The resultant unfalsified adaptive control law responds rapidly and precisely with guaranteed convergence. No assumptions about the plant are required beyond the availability of at least one candidate controller capable of robustly meeting performance goals. Potential applications include aircraft stability augmentation systems, highly maneuverable aircraft design, missile guidance systems, and precision pointing and tracking systems. Such designs will be better able to more reliably compensate for battle damage, equipment failures and other changing circumstances. “It is a capital mistake to theorize before one has data. Insensibly one begins to twist facts to suit theories instead of theories to suit facts.” Sherlock Holmes Arthur Conan Doyle
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تاریخ انتشار 2003