This paper considers the problem of matching the transfer fun&on matrix of a given two-dimensional (2-D) system to that of a desired 2-D model using state feedback. The approach followed refers to systems having square transfer function matrices and reduces the problem to that of solving a linear s
Model reduction of 2-D systems via orthogonal series
β Scribed by P. N. Paraskevopoulos; P. E. Panagopoulos; G. K. Vaitsis; S. J. Varoufakis; G. E. Antoniou
- Publisher
- Springer US
- Year
- 1991
- Tongue
- English
- Weight
- 811 KB
- Volume
- 2
- Category
- Article
- ISSN
- 0923-6082
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
A novel model reduction technique for static systems is presented. The method is developed using a goal-oriented framework, and it extends the concept of snapshots for proper orthogonal decomposition (POD) to include (sensitivity) derivatives of the state with respect to system input parameters. The
A model reduction problem for polytopic uncertain linear systems based on the induced L2 norm criterion is presented. A su\_tf(icient solvability condition is derived, and the computational issues are discussed.