LMI-Based Robustness Analysis in Uncertain Systems

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Focusing on robustness analysis in uncertain systems, this monograph presents a unified framework that addresses the complexities of establishing robust stability. Utilizing linear matrix inequalities (LMIs) and sums of squares of polynomials, the author explores various uncertainties and offers guarantees for robust stability and performance. The text guides readers through convex optimization challenges, balancing conservatism with complexity, and includes special case methods. It serves as a valuable resource for researchers and students in modern control systems.