Article (Scientific journals)
Robust PID controller design for processes with stochastic parametric uncertainties
Duong, Pham
2012In Journal Process Control, 22 (9), p. 1559–1566
Peer reviewed
 

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Keywords :
Polynomial chaos; PID controller; Stochastic uncertainty
Abstract :
[en] The stability and performance of a system can be inferred from the evolution of statistical characteristics of the system’s states. Wiener’s polynomial chaos can provide an efficient framework for the statistical analysis of dynamical systems, computationally far superior to Monte Carlo simulations. This work proposes a new method of robust PID controller design based on polynomial chaos for processes with stochastic parametric uncertainties. The proposed method can greatly reduce computation time and can also efficiently handle both nominal and robust performance against stochastic uncertainties by solving a simple optimisation problem. Simulation comparison with other methods demonstrated the effectiveness of the proposed design method.
Disciplines :
Mathematics
Author, co-author :
Duong, Pham ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
External co-authors :
yes
Language :
English
Title :
Robust PID controller design for processes with stochastic parametric uncertainties
Publication date :
October 2012
Journal title :
Journal Process Control
ISSN :
0959-1524
Publisher :
Elsevier
Volume :
22
Issue :
9
Pages :
1559–1566
Peer reviewed :
Peer reviewed
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since 19 January 2016

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