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Full papers of hyperlinked titles can be downloaded via ScienceDirect.

O. Guyot, T. Monredon, D. LaRosa, A. Broussaud, VisioRock, an integrated vision technology for advanced control of comminution circuits, Minerals Engineering, Vol.17 No.11-12, 2004

Smith, G.C., et al, Innovative process control technology for milling and flotation circuit operations. J. South African IMM, Vol.104 No.6, 2004

F. Olaleye, B. Huang, E. Tamayo, Performance assessment of control loops with time-variant disturbance dynamics., Journal of Process Control, Vol.14 No.8, 2004

U. Kruger, Y. Zhou, G.W. Irwin, Improved principal component monitoring of large-scale processes., Journal of Process Control, Vol.14 No.8, 2004

G. Pannocchia, Robust model predictive control with guaranteed setpoint tracking., Journal of Process Control, Vol.14 No.8, 2004

Theron, J.P., and Aldrich, C., Identification of nonlinearities in dynamic process systems. Journal of the South African Institute of Mining and Metallurgy, Vol.104 No.3, 2004

B. Feil, J. Abonyi, F. Szeifert, Model order selection of nonlinear input-output models--a clustering based approach. Journal of Process Control, Vol.14 No.6, 2004

K.J. Astrom, T. Hagglund, Revisiting the Ziegler-Nichols step response method for PID control. Journal of Process Control, Vol.14 No.6, 2004

E. Elisante, G.P. Rangaiah, S. Palanki, Robust controller synthesis for multivariable nonlinear systems with unmeasured disturbances. Chemical Engineering Science, Vol.59 No.5, 2004

N. Lu, Y. Yang, F. Gao, F. Wang, Multirate dynamic inferential modeling for multivariable processes. Chemical Engineering Science, Vol.59 No.4, 2004

J.-M. Lee, C. Yoo, I.-B. Lee, Statistical process monitoring with independent component analysis. Journal of Process Control, Vol.14 No.5, 2004

C.-T. Chen, S.-T. Peng, A nonlinear control scheme for imprecisely known processes using the sliding mode and neural fuzzy techniques. Journal of Process Control, Vol.14 No.5, 2004

D. Wang, D.H. Zhou, Y.H. Jin, S.J. Qin, Adaptive generic model control for a class of nonlinear time-varying processes with input time delay. Journal of Process Control, Vol.14 No.5, 2004

R.K. Pearson, U. Kotta, Nonlinear discrete-time models: state-space vs. I/O representations. Journal of Process Control, Vol.14 No.5, 2004

J. Wang, T. Chen, B. Huang, Closed-loop identification via output fast sampling. Journal of Process Control, Vol.14 No.5, 2004

A.V. Topalov, O. Kaynak, Neural network modeling and control of cement mills using a variable structure systems theory based on-line learning mechanism. Journal of Process Control, Vol.14 No.5, 2004

H. Feitkenhauer, U. Meyer, Software sensors based on titrimetric techniques for the monitoring and control of aerobic and anaerobic bioreactors. Biochemical Engineering Journal, Vol.17 No.2, 2004

J. Cao, J. Gertler, Noise-induced bias in last principal component modeling of linear system. Journal of Process Control, Vol.14 No.4, 2004

M.G. Forbes, M. Guay, J.F. Forbes, Control design for first-order processes: shaping the probability density of the process state. Journal of Process Control, Vol.14 No.4, 2004

Z.K. Nagy, R.D. Braatz, Open-loop and closed-loop robust optimal control of batch processes using distributional and worst-case analysis. Journal of Process Control, Vol.14 No.4, 2004

R.H. Julien, M.W. Foley, W.R. Cluett, Performance assessment using a model predictive control benchmark. Journal of Process Control, Vol.14 No.4, 2004

A. Visioli, A new design for a PID plus feedforward controller. Journal of Process Control, Vol.14 No.4, 2004

Y.J. Wang, J.B. Rawlings, A new robust model predictive control method I: theory and computation. Journal of Process Control, Vol.14 No.3, 2004

Y.J. Wang, J.B. Rawlings, A new robust model predictive control method. II: examples. Journal of Process Control, Vol.14 No.3, 2004

R.J. Treasure, U. Kruger, J.E. Cooper, Dynamic multivariate statistical process control using subspace identification. Journal of Process Control, Vol.14 No.3, 2004

J.M. Boling, K.E. Haggblom, R.H. Nystrom, Multivariable uncertainty estimation based on multi-model output matching. Journal of Process Control, Vol.14 No.3, 2004

L. Wang, Discrete model predictive controller design using Laguerre functions. Journal of Process Control, Vol.14 No.2, 2004

M.A. Hussain, P.Y. Ho, Adaptive sliding mode control with neural network based hybrid models. Journal of Process Control, Vol.14 No.2, 2004

J. Chen, T.-C. Huang, Applying neural networks to on-line updated PID controllers for nonlinear process control. Journal of Process Control, Vol.14 No.2, 2004

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