Reference : Robust PID controller design for processes with stochastic parametric uncertainties
Scientific journals : Article
Physical, chemical, mathematical & earth Sciences : Mathematics
http://hdl.handle.net/10993/23689
Robust PID controller design for processes with stochastic parametric uncertainties
English
Duong, Pham mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Oct-2012
Journal Process Control
Elsevier
22
9
1559–1566
Yes (verified by ORBilu)
International
0959-1524
[en] Polynomial chaos ; PID controller ; Stochastic uncertainty
[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.
Researchers ; Professionals ; Students ; General public
http://hdl.handle.net/10993/23689

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