Hornik K (1991) Approximation capabilities of multilayer feedforward networks. Neural
Networks 4:251–257
Hu H, Xu L, Zhu B, Liang Y (2010) A compatible control algorithm for greenhouse climate
control. In: Computer science and information technology (ICCSIT). 3
rd IEEE international
conference, vol 4, pp 63–67
Hu H, Xu L, Zhu B, Wei R (2011a) A compatible control algorithm for greenhouse environment
control base don MOCC strategy. Sensors 11:3281–3302
Hu H, Xu L, Wei R, Zhu B (2011b) Multi-objective control optimization for greenhouse
environment using evolutionary algorithms. Sensors 11:5792–5807
Hurtado EG, Olmedo AS, Ortega JCP, Fernandez MAA, Carillo UGV (2010) Modeling key
parameters for greenhouse using fuzzy clustering technique. In: 9th Mexican international
conference on artificial intelligence: advances in artificial intelligence and applications,
MICAI 2010, pp 103–106
Ioslovich I, Seginer I (1996) Approximate seasonal optimization of the greenhouse environment
for a multi-state-variable tomato model. Trans ASAE 41(4):1139–1149
Ioslovich I, Seginer I (2002) Acceptable nitrate concentration of greenhouse lettuce: two optimal
control policies. Biosyst Eng 83:361–371
Ioslovich I, Gutman PO, Linker R (2009) Hamilton-Jacobi-Bellman formalism for optimal
climate control of greenhouse crop. Automatica 45:1227–1231
Jaimes-Ponce J, Liceaga-Castro JU, Alcántara-Ramírez R, Siller-Alcalá II (2013) Electrical
conductivity and water flow control of a NFT system. Int J Circuits Syst Sign Process
7:134–141
Javadikia P, Tabatabaeefar A, Omid M, Alimardani R, Fathi M (2009) Evaluation of intelligent
greenhouse climate control system, based fuzzy logic in relation to conventional systems. In:
International conference on artificial intelligence and computational intelligence, Shanghai,
China, AICI 2009, vol 4, pp 146–150
Kamp PGH, Timmerman GJ (1996) Comuterized environmental control in greenhouse. A step by
step approach. IPC Plant. Ede, The Netherlands, p 267
Karnik NN, Mendel JM, Liang Q (1999) Type-2 fuzzy logic systems. IEEE Trans Fuzzy Syst
7(6):643–658
Kirk DE (1998) Optimal control theory. An introduction. Dover Publications, Inc., New York
Kolokotsa D, Saridakis G, Dalamagkidis K, Dolianitis S, Kaliakatsos I (2010) Development of an
intelligent indoor environment and energy management system for greenhouses. Energy
Convers Manage 51:155–168
Lafont F, Balmat JF (2002) Optimized fuzzy control of a greenhouse. Fuzzy Sets Syst 128:47–50
Lee ChCh (1990a) Fuzzy logic in control systems: fuzzy logic controller, part I. IEEE Trans Syst
Man Cybern 20(2):404–418
Lee ChCh (1990b) Fuzzy logic in control systems: fuzzy logic controller, part I. IEEE Trans Syst
Man Cybern 20(2):419–435
Lewis FL, Syrmos VL (1995) Optimal control, 2nd edn. John Wiley & Sons, Inc., New York
Linker R, Gutman PO, Seginer I (1999) Robust controllers for simultaneous control of
temperature and CO2 concentration in greenhouses. Control Eng Pract 7:851–862
Linker R, Kacira M, Arbel A (2011) Robust climate control of a greenhouse equipped with
variable-speed fans and variable-pressure fogging system. Biosyst Eng 110:153–167
Linker R, Seginer I (2004) Greenhouse temperature modeling: a comparison between sigmoid
neural networks and hybrid models. Math Comput Simul 65:19–29
Linker R, Seginer I, Gutman PO (1998) Optimal CO2 control in a greenhouse modeled with
neural networks. Comput Electron Agric 19:289–310
López-Cruz IL, Van Willigenburg LG, Van Straten G (2003a) Efficient differential evolution
algorithms for multimodal optimal control problems. J Appl Soft Comput 3(2):97–122
López-Cruz IL, van Willigenburg LG, van Straten G (2003b) Optimal control of nitrate in lettuce
by an hybrid approach: gradient and differential evolution algorithms. Comput Electron Agric
40(1–3):179–197
418
I. L. López-Cruz et al.
Networks 4:251–257
Hu H, Xu L, Zhu B, Liang Y (2010) A compatible control algorithm for greenhouse climate
control. In: Computer science and information technology (ICCSIT). 3
rd IEEE international
conference, vol 4, pp 63–67
Hu H, Xu L, Zhu B, Wei R (2011a) A compatible control algorithm for greenhouse environment
control base don MOCC strategy. Sensors 11:3281–3302
Hu H, Xu L, Wei R, Zhu B (2011b) Multi-objective control optimization for greenhouse
environment using evolutionary algorithms. Sensors 11:5792–5807
Hurtado EG, Olmedo AS, Ortega JCP, Fernandez MAA, Carillo UGV (2010) Modeling key
parameters for greenhouse using fuzzy clustering technique. In: 9th Mexican international
conference on artificial intelligence: advances in artificial intelligence and applications,
MICAI 2010, pp 103–106
Ioslovich I, Seginer I (1996) Approximate seasonal optimization of the greenhouse environment
for a multi-state-variable tomato model. Trans ASAE 41(4):1139–1149
Ioslovich I, Seginer I (2002) Acceptable nitrate concentration of greenhouse lettuce: two optimal
control policies. Biosyst Eng 83:361–371
Ioslovich I, Gutman PO, Linker R (2009) Hamilton-Jacobi-Bellman formalism for optimal
climate control of greenhouse crop. Automatica 45:1227–1231
Jaimes-Ponce J, Liceaga-Castro JU, Alcántara-Ramírez R, Siller-Alcalá II (2013) Electrical
conductivity and water flow control of a NFT system. Int J Circuits Syst Sign Process
7:134–141
Javadikia P, Tabatabaeefar A, Omid M, Alimardani R, Fathi M (2009) Evaluation of intelligent
greenhouse climate control system, based fuzzy logic in relation to conventional systems. In:
International conference on artificial intelligence and computational intelligence, Shanghai,
China, AICI 2009, vol 4, pp 146–150
Kamp PGH, Timmerman GJ (1996) Comuterized environmental control in greenhouse. A step by
step approach. IPC Plant. Ede, The Netherlands, p 267
Karnik NN, Mendel JM, Liang Q (1999) Type-2 fuzzy logic systems. IEEE Trans Fuzzy Syst
7(6):643–658
Kirk DE (1998) Optimal control theory. An introduction. Dover Publications, Inc., New York
Kolokotsa D, Saridakis G, Dalamagkidis K, Dolianitis S, Kaliakatsos I (2010) Development of an
intelligent indoor environment and energy management system for greenhouses. Energy
Convers Manage 51:155–168
Lafont F, Balmat JF (2002) Optimized fuzzy control of a greenhouse. Fuzzy Sets Syst 128:47–50
Lee ChCh (1990a) Fuzzy logic in control systems: fuzzy logic controller, part I. IEEE Trans Syst
Man Cybern 20(2):404–418
Lee ChCh (1990b) Fuzzy logic in control systems: fuzzy logic controller, part I. IEEE Trans Syst
Man Cybern 20(2):419–435
Lewis FL, Syrmos VL (1995) Optimal control, 2nd edn. John Wiley & Sons, Inc., New York
Linker R, Gutman PO, Seginer I (1999) Robust controllers for simultaneous control of
temperature and CO2 concentration in greenhouses. Control Eng Pract 7:851–862
Linker R, Kacira M, Arbel A (2011) Robust climate control of a greenhouse equipped with
variable-speed fans and variable-pressure fogging system. Biosyst Eng 110:153–167
Linker R, Seginer I (2004) Greenhouse temperature modeling: a comparison between sigmoid
neural networks and hybrid models. Math Comput Simul 65:19–29
Linker R, Seginer I, Gutman PO (1998) Optimal CO2 control in a greenhouse modeled with
neural networks. Comput Electron Agric 19:289–310
López-Cruz IL, Van Willigenburg LG, Van Straten G (2003a) Efficient differential evolution
algorithms for multimodal optimal control problems. J Appl Soft Comput 3(2):97–122
López-Cruz IL, van Willigenburg LG, van Straten G (2003b) Optimal control of nitrate in lettuce
by an hybrid approach: gradient and differential evolution algorithms. Comput Electron Agric
40(1–3):179–197
418
I. L. López-Cruz et al.