This paper deals with the problem of model reduction based on an optimization technique. The objective function being minimized in the impulse energy of the overall system with unity, single-sided and doublesided weightings. A number of properties of the gradient flows associated with the objective
Discrete-time frequency weighted model reduction and application to sampled-data models
β Scribed by Yoram Halevi; Natalya Raskin
- Publisher
- John Wiley and Sons
- Year
- 1998
- Tongue
- English
- Weight
- 145 KB
- Volume
- 19
- Category
- Article
- ISSN
- 0143-2087
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β¦ Synopsis
The problem of frequency weighted optimal model order reduction for discrete-time systems is considered. Necessary conditions which completely characterize the reduced-order model are given. The solution of the problem consists of a set of one generalized Riccati equation and two generalized Lyapunov equations all coupled by a projection. The results that were obtained for this problem are used to solve the problem of finding the optimal, fixed-order, discrete-time model for a sampled-data continuous-time system. Several configurations and cost functions, each corresponding to a certain physical scenario, are considered.
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