๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Output feedback control of networked systems

โœ Scribed by Shumei Mu; Tianguang Chu; Long Wang; Wensheng Yu


Publisher
Institute of Automation, Chinese Academy of Sciences
Year
2004
Tongue
English
Weight
219 KB
Volume
1
Category
Article
ISSN
1476-8186

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Discrete-time neural network output feed
โœ J. Vance; S. Jagannathan ๐Ÿ“‚ Article ๐Ÿ“… 2008 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 212 KB

An adaptive neural network (NN)-based output feedback controller is proposed to deliver a desired tracking performance for a class of discrete-time nonlinear systems, which are represented in non-strict feedback form. The NN backstepping approach is utilized to design the adaptive output feedback co

Dynamic neural networks for output feedb
โœ Naira Hovakimyan; Rolf Rysdyk; Anthony J. Calise ๐Ÿ“‚ Article ๐Ÿ“… 2000 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 356 KB ๐Ÿ‘ 2 views
ADAPTIVE OUTPUT FEEDBACK CONTROL OF NON-
โœ MRDJAN JANKOVIC ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 957 KB

In this paper we present an adaptive output feedback controller for feedback linearizable non-linear systems. It employs a high-gain observer with estimate saturation which is crucial in achieving semiglobal asymptotic stabilization to the origin and, if the regressor vector is persistently exciting