G. Acuña and M. Curilem, Comparison of neural networks and support vector machine dynamic models for state estimation in semi autogeneous mills, Lecture Notes in Computer Science, pp.478-487, 2009.

C. Aldrich and D. Theron, Acoustic estimation of the particle size distributions of sulphide ores in a laboratory ball mill. The Journal of The South African Institute of Mining and Metallurgy, pp.243-248, 2000.

P. Andersen, J. Bendtsen, T. Pedersen, J. Mortensen, and R. Nielsen, OBSERVER-BASED COAL MILL CONTROL USING OXYGEN MEASUREMENTS, IFAC Symposium on Power Plants and Power Systems Control, 2006.
DOI : 10.3182/20060625-4-CA-2906.00035

J. Andrade-romero, J. Romero, and M. Améstegui, Acoustic signal characterization of a ball milling machine model, Journal of Physics: Conference Series, vol.285, p.285, 2011.
DOI : 10.1088/1742-6596/285/1/012047

X. Chen, J. Yang, S. Li, L. , and Q. , Disturbance observer based multi-variable control of ball mill grinding circuits, Journal of Process Control, vol.19, issue.7, pp.1205-1213, 2009.
DOI : 10.1016/j.jprocont.2009.02.004

A. Cuevas and A. Cipriano, State and ore hardness estimation in semi autogenous grinding, 17th World Congress, 2008.

M. Curilem, G. Acuña, F. Cubillos, and E. Vyhmeister, Neural networks and support vector machine models applied to energy consumption optimization in semiautogeneous grinding, Chemical Engineering Transactions, vol.25, pp.761-766, 2011.

F. Grognard, F. Jadot, L. Magni, G. Bastin, R. Sepulchre et al., Robust stabilization of a nonlinear cement mill model, IEEE Transactions on Automatic Control, vol.46, issue.4, pp.618-623, 2001.
DOI : 10.1109/9.917663
URL : https://hal.archives-ouvertes.fr/hal-01091558

D. Hodouin, Methods for automatic control, observation, and optimization in mineral processing plants, Journal of Process Control, vol.21, issue.2, pp.211-225, 2011.
DOI : 10.1016/j.jprocont.2010.10.016

D. Hodouin, S. Jamsa-jounelaa, M. Carvalhoc, and L. Bergh, State of the art and challenges in mineral processing control, Control Engineering Practice, vol.9, issue.9, pp.995-1005, 2001.
DOI : 10.1016/S0967-0661(01)00088-0

S. L. Jämsä-jounela, Current status and future trends in the automation of mineral and metal processing, Control Engineering Practice, vol.9, issue.9, pp.1021-1035, 2001.
DOI : 10.1016/S0967-0661(01)00073-9

Y. Ko and H. Shang, Time delay neural network modeling for particle size in SAG mills, Powder Technology, vol.205, issue.1-3, pp.250-262, 2011.
DOI : 10.1016/j.powtec.2010.09.023

Z. Lendek, T. Guerra, R. Babuska, D. Schutter, and B. , Stability analysis and nonlinear observer design using Takagi-Sugeno fuzzy models, 2010.
DOI : 10.1007/978-3-642-16776-8

R. Lepore, A. Wouwer, M. Remy, and P. Bogaerts, Receding-horizon estimation and control of ball mill circuits. Lecture notes in control and information sciences, pp.485-493, 2007.

A. Makokha and M. Moys, Multivariate approach to on-line prediction of in-mill slurry density and ball load volume based on direct ball and slurry sensor data, Minerals Engineering, vol.26, pp.13-23, 2012.
DOI : 10.1016/j.mineng.2011.10.009

L. Mcelroy, J. Bao, R. Yang, Y. , and A. , A soft-sensor approach to flow regime detection for milling processes, Powder Technology, vol.188, issue.3, pp.234-241, 2009.
DOI : 10.1016/j.powtec.2008.05.002

P. Niemczyk and J. Bendtsen, Improved coal grinding and fuel flow control in thermal power plants, 18th IFAC World Congress, 2011.
DOI : 10.3182/20110828-6-IT-1002.02379

L. Olivier, I. Craig, C. , and Y. , Fractional order and BICO disturbance observers for a run-of-mine ore milling circuit, Journal of Process Control, vol.22, issue.1, pp.3-10, 2012.
DOI : 10.1016/j.jprocont.2011.11.001

E. Sontag and Y. Wang, On characterizations of the input-to-state stability property, Systems & Control Letters, vol.24, issue.5, pp.351-359, 1995.
DOI : 10.1016/0167-6911(94)00050-6

T. Takagi and M. Sugeno, Fuzzy identification of systems and its applications to modeling and control, IEEE Transactions on Systems, Man, and Cybernetics, vol.15, issue.1, pp.116-132, 1985.
DOI : 10.1109/TSMC.1985.6313399

K. Tanaka and H. Wang, Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach, 2001.
DOI : 10.1002/0471224596

J. Tang, T. Chai, L. Zhao, W. Yu, Y. et al., Soft sensor for parameters of mill load based on multispectral segments pls sub-models and on-line adaptive weighted fusion algorithm, Neurocomputing, issue.1, pp.78-116, 2012.

J. Yang, S. Li, X. Chen, L. , and Q. , Disturbance rejection of dead-time processes using disturbance observer and model predictive control. Chemical engineering research and design, pp.125-135, 2011.

J. Yang, S. Li, X. Chen, L. , and Q. , Disturbance rejection of ball mill grinding circuits using DOB and MPC, Powder Technology, vol.198, issue.2, pp.219-228, 2010.
DOI : 10.1016/j.powtec.2009.11.010