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Current procedures used in the clearance/analysis of gain scheduled flight control laws for launch vehicles (LV) tend to be very time consuming and complicated. Furthermore, the clearance procedure is in many cases limited to only certain vertices (determined on prior experience) of the uncertain parameter space, in the hope that the worst case scenario is not somewhere in the middle. The main objective...
A robocasting manufacturing process and robotic deposition machine are presented in this paper. The process requires that the machine be able to track 3-D trajectories with high precision. Iterative learning control (ILC) is presented as a viable strategy to meet these demands. Typically, practical implementation of ILC requires some type of Q-filtering that creates an inherent tradeoff between performance...
A new method of designing a robust control law is proposed for a general class of nonlinear or linear systems with bounded uncertainties. The method uses the property that the Lyapunov function is not unique for a stable or stabilizable system. It is shown that the proposed control law normally guarantees the stability of the system if there are two Lyapunov functions whose null sets have a trivial...
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