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Sampled Data Model Validation: An Algorithm and Experimental Application
(1996)International Journal of Robust and Nonlinear ControlThe application of robust control theory requires representative models containing unknown bounded perturbations and unknown bounded noise/disturbance signals. Model validation is a means of assessing the applicability of a given model with respect to experimental data. We consider a sampled-data approach, using a continuous time model, including unknown perturbations and signals, and a discrete experimental datum of finite length. The ...Journal Article -
Optimal Control of Perturbed Linear Static Systems
(1996)IEEE Transactions on Automatic ControlThis note considers the problem of designing an optimal controller for linear static systems with uncertainty modeled as a single induced Euclidean norm bounded MIMO perturbation. The objective is the minimization of the singular value of the disturbance to error transfer function. The static (constant matrix) design problem is convex and can be formulated as a sequence of generalized eigenvalue problems. We present a detailed example, ...Journal Article -