Robust Design Via Simultaneous Polynomial Stabilization
Our approach to robust analysis and synthesis of systems with parameter uncertainty exploits properties of polynomials. Robust stability and robust performance requirements are expressed as stability requirements of polynomial families with parameter uncertainty. The last four Chapters we have demonstrated that the Finite Inclusions Theorem is a powerful tool for analy sis and synthesis as it provides the foundation of a number of robust analysis and synthesis algorithms. The resulting FIT synthesis algorithms are iterative procedures where at each iteration the controller is redesigned to enhance ro bustness. The controller parameters are computed from the solution of linear inequalities.
KeywordsAttenuation Expense Hull Larg
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