One of the key issues in the design of control system is its robustness with respect to the plant uncertainties, both structured and unstructured. We have concentrated on various aspects of the analysis and design of robust control systems for linear and nonlinear systems. These include, the degree of controllability of a system with finite energy inputs and in finite time and the development of models which correctly represent the plant uncertainties. In addition to the theoretical studies, a control hands-on laboratory is being implemented to demonstrate the various theoretical findings.
The following papers illustrate our work in robust control:
1. "A Methodology for Formulating a Minimal Uncertainty Model for Robust Control System Design and Analysis," (with C.M. Belcastro, B-C Chang), Proc. of 3rd Annual Conf. on Aerospace Computational Control, Aug. 28-30, 1989
2. "A Generic Hands On Control System Laboratory" (with K. Bonner, P. Kalata ), Proc. of 10th Automatic Control Conference, Atlanta, June 1988 "An Algorithm for Computing the Degree of Controllability of a Discrete Time, Bounded Input, Regulator Problem," S. Sokolowski, R. Fischl, Proc. of 5th Automatic Control Conference, Seattle, Washington, June, 1986.
