简介

Models of processing systems only approximate physical reality. A major challenge addressed by our research is the design of controllers that, in spite of the uncertainty present in the model, can deliver high performance and also guarantee stable behavior. Such controllers are called robust. The effort focuses on the synthesis of robust controllers using methodologies such as pole-placement, predictive-control, and frequency-domain techniques based on the novel concept of a Nyquist Robust Stability Margin proposed by our group.