Aspects of Modeling, Identification and Control of Dynamical Systems.

Abstract : The research supported by the grant developed an approach for robust control system design and a compatible theory for modeling, identification and approximation of dynamical systems. It dealt with the case of linear systems, lumped as well as distributed parameter systems. Case studies highlighted the use of the techniques, and computer software was prepared. An analogous framework for robust control analysis of nonlinear systems was advanced. In particular, robustness measures were developed and a methodology for computing induced norms was derived. The research also focused on implementation issues of sampled data control systems, the effects of persistent excitations in control systems, and numerical aspects of spectral factorization.