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The design of precise controllers in presence of significant uncertainly requires the use of robust controllers. A variety of specifications and design constraints for control systems can be expressed in terms of Linear Matrix Inequalities (LMI), which are solved using Convex Optimization algorithms. This article presents the design of robust controllers using LMI for typical systems whose models are obtained from the control literature to which are complemented with parameter uncertainty. The designed controllers use system state feedback.

Aplicación de las LMI al diseño de controladores robustos