화학공학소재연구정보센터

Journal of Process Control

Journal of Process Control, Vol.23, No.4 Entire volume, number list
ISSN: 0959-1524 (Print) 

In this Issue (14 articles)

453 - 462 Robust tuning of 2DoF five-parameter PID controllers for inverse response controlled processes
Alfaro VM, Vilanova R
463 - 472 A novel model-based scheme for kick and loss mitigation during drilling
Hauge E, Aamo OM, Godhavn JM, Nygaard G
473 - 482 Performance monitoring of model-predictive controllers via model residual assessment
Sun ZJ, Qin SJ, Singhal A, Megan L
483 - 492 On-line nonlinear model predictive control of a PEM fuel cell system
Ziogou C, Papadopoulou S, Georgiadis MC, Voutetakis S
493 - 499 Robust model predictive control of a class of uncertain nonlinear systems with application to typical CSTR problems
Ghaffari V, Naghavi SV, Safavi AA
500 - 515 Performance measures, performance limits and optimal PI control for the IPDT plant
Huba M
516 - 526 On simultaneous on-line state and parameter estimation in non-linear state-space models
Tulsyan A, Huang B, Gopaluni RB, Forbes JF
527 - 542 PID control in terms of robustness/performance and servo/regulator trade-offs: A unifying approach to balanced autotuning
Alcantara S, Vilanova R, Pedret C
543 - 560 Computationally efficient nonlinear Min-Max Model Predictive Control based on Volterra series models-Application to a pilot plant
Gruber JK, Ramirez DR, Limon D, Alamo T
561 - 569 Population based optimal experimental design in cancer diagnosis and chemotherapy: In silico analysis
Kiran KL, Samavedham L
570 - 584 The design of PID controller for non-oscillating time-delayed plants with guaranteed stability margin based on the modulus optimum criterion
Cvejn J
585 - 597 Control loop diagnosis with ambiguous historical operating modes: Part 1. A proportional parametrization approach
Gonzalez R, Huang B
598 - 612 Frequency specifications regions of fractional-order PI controllers for first order plus time delay processes
Castillo-Garcia FJ, Feliu-Batlle V, Rivas-Perez R
613 - 629 Optimal experiment design under process noise using Riccati differential equations
Telen D, Houska B, Logist F, Van Derlinden E, Diehl M, Van Impe J