𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Input-Output linearization using approximate process models

✍ Scribed by Francis J. Doyle III; John V. Hobgood


Publisher
Elsevier Science
Year
1995
Tongue
English
Weight
876 KB
Volume
5
Category
Article
ISSN
0959-1524

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


ADAPTIVE INPUT–OUTPUT LINEARIZATION OF A
✍ MICHAEL A. HENSON; DALE E. SEBORG πŸ“‚ Article πŸ“… 1997 πŸ› John Wiley and Sons 🌐 English βš– 389 KB πŸ‘ 1 views

Adaptive non-linear control strategies for a pH neutralization process are developed and evaluated via simulation. A non-adaptive non-linear controller is designed using a modified input-output linearization technique which accounts for the implicit output equation in the reaction invariant model. F

Input/output linearization using dynamic
✍ A. Delgado; C. Kambhampati; K. Warwick πŸ“‚ Article πŸ“… 1996 πŸ› Elsevier Science 🌐 English βš– 408 KB

This paper brings together two areas of research that have received considerable attention during the last years, namely feedback linearization and neural networks. A proposition that guarantees the Input/Output (I/O) linearization of nonlinear control affine systems with Dynamic Recurrent Neural N

A method of constructing minimal approxi
✍ David R. Audley πŸ“‚ Article πŸ“… 1977 πŸ› Elsevier Science 🌐 English βš– 659 KB

An algorithm for constructing minimal realizations of stationary linear dynamical systems is presented. The 'input' to this algorithm is the data set representation. In the case of the minimal partial realization problem this algorithm provides for several different approximations to prescribed inpu