Maximizing the Stability Region in the Parameter Space for a Nonlinear Control System

This paper shows some results on maximizing the stability region in the parameter space for a nonlinear control system consisting of an LTI system with uncertain parameters and of a memoryless nonlinearity in the feedback. This problem is solved in the framework of dissipativity theory using LMIs. The usefulness of the procedure is demonstrated for a fuzzy control system.