Linear Matrix Inequalities in Control

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Formulas for Data-Driven Control: Stabilization, Optimality, and Robustness (2019, methodology): “Studying how our approach can be used to systematically address control problems via data-dependent LMIs could be very rewarding, and lead to a methodical inclusion of data to analyze and design control systems.”
Predictive Control for Linear and Hybrid Systems (2017, methodology): “The material of this part follows closely the presentation from the following books and lecture notes: “Convex optimization” by Boyd and Vandenberghe [65], “Nonlinear Programming Theory and Algorithms” by Bazaraa, Sherali and Shetty [27], “LMIs in Control” by Scherer and Weiland [258] and “Lectures ”
Behavioral systems theory in data-driven analysis, signal processing, and control (2021, background): “Given the data (U,X), a robustified version of the stabilization problem (54) can then be posed as finding a feedback gain K so that A+BK is Schur stable for all (B,A) compatible with (67) and (68).”