Control of Uncertain Sampled-Data Systems

Focusing on uncertainty analysis in sampled-data systems, this monograph explores the integration of continuous and discrete time systems within control theory. It addresses performance in the face of worst-case uncertainties and disturbances. The book highlights recent advancements in systematic methods for sampled-data design, aiming to extend sophisticated design principles from purely continuous or discrete systems to hybrid systems. It emphasizes the importance of structured uncertainty analysis as a flexible tool for enhancing system performance in engineering applications.