naa a22 4500 510821774 CHVBK 20180411083536.0 cr unu---uuuuu 180411e20131101xx s 000 0 eng 10.1007/s11814-013-0149-x doi (NATIONALLICENCE)springer-10.1007/s11814-013-0149-x Robust PI controller design for integrator plus dead-time process with stochastic uncertainties using operational matrix [Elektronische Daten] [Pham Duong, Moon Lee] To increase the precision and reliability of process control, random uncertainty factors affecting the control system must be accounted for. We propose a novel approach based on the operational matrix technique for robust PI controller design for dead-time processes with stochastic uncertainties in both process parameters and inputs. The use of the operational matrix drastically reduces computational time in controller design and statistical analysis with a desired accuracy over that of the traditional Monte-Carlo method. Examples with deterministic and stochastic inputs were considered to demonstrate the validity of the proposed method. The computational effectiveness of the proposed method was shown by comparison with the Monte-Carlo method. The proposed approach was mainly derived based on the integrator plus dead-time process, but can be easily extended to other types of more complex stochastic systems with dead-time, such as a first-order plus dead-time or a second-order plus dead-time system. Korean Institute of Chemical Engineers, Seoul, Korea, 2013 Dead-time Process nationallicence Operational Matrix nationallicence Robust PI Controller Design nationallicence Statistical Analysis nationallicence Stochastic Process nationallicence Walsh Functions nationallicence Duong Pham School of Chemical Engineering, Yeungnam University, 712-749, Gyeongsan, Korea aut Lee Moon School of Chemical Engineering, Yeungnam University, 712-749, Gyeongsan, Korea aut Korean Journal of Chemical Engineering Springer US; http://www.springer-ny.com 30/11(2013-11-01), 1990-1996 0256-1115 30:11<1990 2013 30 11814 https://doi.org/10.1007/s11814-013-0149-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11814-013-0149-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Duong Pham School of Chemical Engineering, Yeungnam University, 712-749, Gyeongsan, Korea aut NATIONALLICENCE 700 1- Lee Moon School of Chemical Engineering, Yeungnam University, 712-749, Gyeongsan, Korea aut NATIONALLICENCE 773 0- Korean Journal of Chemical Engineering Springer US; http://www.springer-ny.com 30/11(2013-11-01), 1990-1996 0256-1115 30:11<1990 2013 30 11814 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer