| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 720764 | IFAC Proceedings Volumes | 2007 | 5 Pages |
Abstract
A novel randomized approach to fixed-order controller design is proposed for discrete-time SISO plants. It is based on the Monte Carlo sampling Schur stable polynomials using so-called Fam-Meditch parametrization and projecting them onto the affine set of closed-loop characteristic polynomials, which is defined by the controller parameters. If the sampling-projecting procedure fails to find a stabilizing controller, certain candidate controllers are then locally optimized by means of an iterative method of nonsmooth optimization.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
Ya. I. Petrikevich, B.T. Polyak, P.S. Shcherbakov,