IEEE Transactions on Automatic Control, Vol.41, No.2, 189-198, 1996
Synthesis of Globally Optimal Controllers for Robust Performance to Unstructured Uncertainty
This paper solves the problem of synthesis of controllers achieving globally optimal robust performance against unstructured time-varying and/or nonlinear uncertainty. The performance measure considered is the infinity-to-infinity induced norm of a system’s transfer function. The solution utilizes sensitivity analysis of linear programming and the theory of parametric programming.
Keywords:MIXED SENSITIVITY MINIMIZATION;DISCRETE-TIME-SYSTEMS;STRUCTURED UNCERTAINTY;FEEDBACK;REJECTION;DESIGN