Hankel-norm model approximation for LPV systems with parameter-varying time delays

2010 ◽  
Vol 41 (10) ◽  
pp. 1173-1185 ◽  
Author(s):  
Ligang Wu ◽  
Peng Shi ◽  
Xiaojie Su
2019 ◽  
Vol 2019 ◽  
pp. 1-12
Author(s):  
Fu Chen ◽  
Shugui Kang ◽  
Fangyuan Li

In this paper, we deal with the problem of stability and stabilization for linear parameter-varying (LPV) systems with time-varying time delays. The uncertain parameters are assumed to reside in a polytope with bounded variation rates. Being main difference from the existing achievements, the representation of the time derivative of the time-varying parameter is under a polytopic structure. Based on the new representation, delay-dependent sufficient conditions of stability and stabilization are, respectively, formulated in terms of linear matrix inequalities (LMI). Simulation examples are then provided to confirm the effectiveness of the given approach.


2013 ◽  
Vol 350 (6) ◽  
pp. 1358-1378 ◽  
Author(s):  
Tong Peng ◽  
Xiaozhan Yang ◽  
Chunfeng Wu ◽  
Ligang Wu ◽  
Baojun Pang

2001 ◽  
Author(s):  
Fen Wu

Abstract In this paper, we address the analysis and state-feedback synthesis problems for linear parameter-varying (LPV) systems with parameter-varying time delays. It is assumed that the state-space data and the time delays depend on parameters that are measurable in real-time and vary in a compact set with bounded variation rates. We explore the delay-dependent stability and the induced L2 norm performance of these systems using parameter-dependent Lyapunov functions. In addition, the state-feedback control synthesis problem is examined when a variable state delay is present. Both analysis and synthesis conditions are formulated in terms of linear matrix inequalities (LMIs) that can be solved via efficient interior-point algorithms.


Automatica ◽  
2001 ◽  
Vol 37 (2) ◽  
pp. 221-229 ◽  
Author(s):  
Fen Wu ◽  
Karolos M. Grigoriadis

Author(s):  
Corentin Briat ◽  
Olivier Sename ◽  
Jean-Francois Lafay
Keyword(s):  

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