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[8] Singh V, Rao SM (2005) Application of image processing and radial basis neural network
techniques for ore sorting and ore classification. Minerals Engineering 18:1412-1420
[9] WipWare, www.wipware.com
[10] Guyot O, Monredon T, LaRosa D, Broussaud A (2004) VisioRock, an integrated vision
technology for advanced control of comminution circuits. Minerals Engineering 17:1227-
1235
[11] Kaartinen J, Tolonen A (2008) Utilizing 3D height measurement in particle size analysis.
Proceedings of the 17th IFAC World Congress, Seoul (Korea)
[12] Outotec, www.outotec.com
[13] Valderrama WR, Pontt JO, Magne LO, Hernandez JS, Salgado FI, Valenzuela JS, Poze RE
(2000) The Impactmeter, a new instrument for monitoring and avoiding harmful high-energy
impacts on the mill liners in SAG mills. Preprints of IFAC Workshop on Future Trend in
Automation in Mineral and Metal Processing, Helsinki (Finland), 274-279
[14] FLSmidth Minerals, www.flsmidthminerals.com
[15] Cipriano A, Guarini M, Vidal R, Soto A, Sepulveda C, Mery D, Brise no H (1998) A real
time visual sensor for supervision of flotation cells. Mineral Engineering 11: 489-499
[16] JKTech Pty Ltd, www.jktech.com.au
[17] Metso Minerals Cisa, www.svedala-cisa.com
[18]
Morar S, Forbes G, Heinrich G, Bradshaw D, King D, Adair B, Esdaile L (2005) The use
of a colour parameter in a machine vision system, SmartFroth, to evaluate copper flotation
performance at Rio Tinto's Kennecott copper concentrator. Proceedings of the Centenary of
Flotation Symposium, Brisbane (Australia)
[19]
Kaartinen J, Hatonen J, Hyotyniemi H, Miettunen J (2006) Machine-vision-based control of
zinc flotation - A case study. Control Engineering Practice 14:1455-1466
[20]
Forbes G (2007) Texture and bubble size measurements for modelling concentrate grade in
flotation froth systems. PhD Thesis University of Cape Town, South Africa.
[21]
Lin B, Recke B, Knudsen J, Jørgensen S (2008) Bubble size estimation for flotation pro-
cesses. Minerals Engineering 21:539-548
[22]
Liu J, MacGregor J (2008) Froth-based modeling and control of flotation processes. Minerals
Engineering 21:642-651
[23]
N unez F, Cipriano A (2008) Visual information model based predictor for froth speed control
in flotation process. Minerals Engineering 22(4):366-371
[24]
Flores A, Saez D, Araya J, Berenguel M, Cipriano A (2005). Fuzzy predictive control of a
solar power plant. IEEE Transactions on Fuzzy Systems 13(1): 58-68
[25]
Cipriano A, Gonzalez G (2008) Advanced control for mineral processing plants. Lecture
at First International Congress on Automation in the Mining Industry, Automining 2008,
Santiago (Chile)
[26]
Levine W (1995) The Control Handbook. CRC and IEEE Press
[27]
Passino K M, Yurkovich S (1998) Fuzzy Control. Addison Wesley
[28]
Driankov D, Hellendoorn H, Reinfrank M (1996) An Introduction to Fuzzy Control.
Springer
[29]
Driankov D, Palm R (1998) Advances in Fuzzy Control. Springer
[30]
Mamdani EH (1974) Application of fuzzy algorithms for control of simple dynamics plant.
Proceedings of the IEE 121:1585-1588
[31]
Mamdani EH, Assilian S (1975) An experiment in linguistic synthesis with a fuzzy logic
controller. International Journal of Man-Machine Studies 7(1):1-13
[32]
Takagi T, Sugeno M (1985) Fuzzy identification of systems and its applications to modeling
and control. IEEE Transactions on Systems, Man, and Cybernetics 15(1):116-132
[33]
Tanaka K, Wang H (2001) Fuzzy Control Systems Design and Analysis. John Wiley & Sons
[34]
Palm R, Driankov D, Hellendoorn H (1996) Model Based Fuzzy Control. Springer
[35]
Babuska R (1998) Fuzzy Modelling for Control. Kluwer Academy Publishers
[36]
Aracil J, Gordillo F (2000) Stability Issues in Fuzzy Control. Springer
[37]
Abonyi J (2003) Fuzzy Model Identification for Control. Birkha user
[38]
Camacho F, Bordons C (2005) Model Predictive Control. Springer
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