Robust PID controller design for processes with stochastic parametric uncertainties

Title
Robust PID controller design for processes with stochastic parametric uncertainties
Author(s)
이문용팜두옹
Keywords
POLYNOMIAL CHAOS; SYSTEMS
Issue Date
201210
Publisher
ELSEVIER SCI LTD
Citation
JOURNAL OF PROCESS CONTROL, v.22, no.9, pp.1559 - 1566
Abstract
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 optimization problem. Simulation comparison with other methods demonstrated the effectiveness of the proposed design method. (C) 2012 Elsevier Ltd. All rights reserved.
URI
http://hdl.handle.net/YU.REPOSITORY/27164http://dx.doi.org/10.1016/j.jprocont.2012.06.020
ISSN
0959-1524
Appears in Collections:
공과대학 > 화학공학부 > Articles
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