๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Adaptive internal model control of nonlinear processes

โœ Scribed by Qiuping Hu; Gade Pandu Rangaiah


Book ID
108311605
Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
400 KB
Volume
54
Category
Article
ISSN
0009-2509

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Nonlinear adaptive model-following contr
โœ A. Balestrino; G. De Maria; A.S.I. Zinober ๐Ÿ“‚ Article ๐Ÿ“… 1984 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 853 KB
An adaptive control strategy for nonline
โœ V. Costanza; C.E. Neuman ๐Ÿ“‚ Article ๐Ÿ“… 1995 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 955 KB

The paper lays the foundations for the design of a programmable controller, capable of handling nonlinear behavior of chemical reactors or other processes, where the model available for their dynamics could be not completely known. We elaborate on results about the approximation of nonlinear systems

Hyperstable adaptive model following con
โœ A. Balestrino; G. De Maria; L. Sciavicco ๐Ÿ“‚ Article ๐Ÿ“… 1982 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 366 KB

Is;/, i+ER', i=l h(A) square root of the maximum eigenvalue of A AT, X(A) square root of the minimum eigenvalue of AAT, Bt : = ( BTB)-'BT, Penrose pseudo-inverse of B.

Internal model-based control for integra
โœ Tien-Li Chia; Irving Lefkowitz ๐Ÿ“‚ Article ๐Ÿ“… 2010 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 589 KB

## a b s t r a c t Internal model-based control (IMC) has been shown to possess many advantages over PID control, particularly in the presence of significant process deadtime. Implementation of IMC is simplified in a large class of industrial applications where the process dynamics can be adequate