On Solving the Fundamental Control Problem in the Presence of Uncertainty: A Mathematical Programming Approach
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The use of linear step response models and quadratic objectives for the Fundamental Control Problem provides a ready extension to questions of uncertainty in assessing the performance of a controller. In designing a controller under the presence of uncertainty one is especially interested in the “worst case” performance of the controller, both in terms of the performance criterion as well as the control trajectory.
[1] Manfred Morari,et al. Robust Model Predictive Control , 1987, 1987 American Control Conference.
[2] Carlos E. García,et al. Design Methodology Based On the Fundamental Control Problem Formulation , 1987 .
[3] Michael A. Saunders,et al. Large-scale linearly constrained optimization , 1978, Math. Program..