Regularization of Linear Periodic Descriptor Systems
by Derivative and Proportional State Feedback

Shu-Fang Xu
School of Mathematical Sciences
Peking University
China

In this talk, I consider the regularization problem for the linear time-varying discrete-time periodic descriptor systems by derivative and proportional state feedback. Sufficient conditions are given under which derivative and proportional state feedbacks can be constructed so that the closed-loop systems are regular and of index at most one. The construction procedures used to establish the theory are based on orthogonal and elementary matrix transformations and can, therefore, be developed to a numerically efficient algorithm.