bibtype V - Research Report
ARLID 0496790
utime 20240103220935.9
mtime 20181120235959.9
title (primary) (eng) DCTOOL-A4
publisher
place Praha
name ÚTIA AV ČR v.v.i
pub_time 2018
specification
page_count 16 s.
media_type P
edition
name Research Report
volume_id 2375
keyword event-triggered control
keyword networked control systems
keyword large scale complex systems
author (primary)
ARLID cav_un_auth*0101062
name1 Bakule
name2 Lubomír
full_dept (cz) Adaptivní systémy
full_dept (eng) Department of Adaptive Systems
department (cz) AS
department (eng) AS
institution UTIA-B
full_dept Department of Adaptive Systems
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0230039
name1 Papík
name2 Martin
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
institution UTIA-B
full_dept Department of Image Processing
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0216347
name1 Rehák
name2 Branislav
full_dept (cz) Teorie řízení
full_dept Department of Control Theory
department (cz)
department TR
institution UTIA-B
full_dept Department of Control Theory
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
cas_special
abstract (eng) DCTOOL-A4 report presents draft of a manuscript, which is intended to be submitted for publication. The report provides a novel systematic approach to the analysis of asymptotic stability for output event-triggered uncertain centralized control systems. A class of nonlinear but nominally linear systems possessing unknown time-varying bounded uncertainties with known bounds is considered. Uncertainties are allowed in all system matrices. Original LMI-based suffi cient conditions are derived to guarantee asymptotic stability of closed-loop systems with both static output and observer-based feedback loop under even-triggered control. Both these output feedback strategies are extended to model-based uncertain control systems with\nquantized measurements. A logarithmic quantizer is considered. The Lyapunov-based approach and convex optimization serve as the main methods to derive the asymptotic LMI-based stability conditions. Bounds on the inter-event times to avoid the Zeno-effect are proved for all the cases considered. Finally, feasibility and effi ciency of the proposed strategies is demonstrated by providing numerical examples.
reportyear 2019
num_of_auth 3
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0289426
confidential S
arlyear 2018
mrcbU10 2018
mrcbU10 Praha ÚTIA AV ČR v.v.i