✦ LIBER ✦

Expert system for optimization of model reduction techniques

✍ Scribed by Fortuna, L.; Gallo, A.; Nunnari, G.

Book ID: 114560724
Publisher: IEEE
Year: 1989
Tongue: English
Weight: 521 KB
Volume: 9
Category: Article
ISSN: 1066-033X
DOI: 10.1109/37.24832

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Optimization techniques in building expe

Optimization techniques in building expert systems

✍ Roberto Cremonini; Evelina Lamma; Paola Mello 📂 Article 📅 1987 🏛 Elsevier Science ⚖ 571 KB

Model reduction techniques for sampled-d

Model reduction techniques for sampled-data systems

✍ Florin Dan Barb; Martin Weiss 📂 Article 📅 1993 🏛 Springer US 🌐 English ⚖ 751 KB

A model reduction technique for nonlinea

A model reduction technique for nonlinear systems

✍ A.A. Desrochers; G.N. Saridis 📂 Article 📅 1980 🏛 Elsevier Science 🌐 English ⚖ 564 KB

Nonlinear nondynamic systems which can be modelled by a linear combination of nonlinear functions are considered. An algorithm, based on correlation techniques, is presented for reducing the number of terms in such a model to a fixed but arbitrary number, n. It is shown that when the model is a line

Practical model reduction techniques for

Practical model reduction techniques for power systems

✍ Maamar Bettayeb; Ubaid M. Al-Saggaf 📂 Article 📅 1992 🏛 Elsevier Science 🌐 English ⚖ 656 KB

Power system model reduction using ident

Power system model reduction using identification techniques

✍ P.Ramana Reddy; A. Kuppurajulu; P. Subramaniam 📂 Article 📅 1979 🏛 Elsevier Science 🌐 English ⚖ 801 KB

-optimal model reduction of MIMO systems

✍ P. Van Dooren; K.A. Gallivan; P.-A. Absil 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 250 KB

We consider the problem of approximating a p × m rational transfer function H (s) of high degree by another p × m rational transfer function H (s) of much smaller degree. We derive the gradients of the H 2 -norm of the approximation error and show how stationary points can be described via tangentia