Lopez-Cruz IL, Hernández-Larragoiti L (2010) Neuro-fuzzy models for air temperature and
humidity of arched and venlo-type greenhouses in central México. Agrociencia 44:791–805
Lopez-Cruz IL, Rojano-Aguilar A, Ojeda-Bustamante W, Salazar-Moreno R (2007) ARX models
for predicting greenhouse air temperature: a methodology. Agrociencia 41:181–192
Luan X, Shi Y, Liu F (2012) Unscented Kalman filtering for greenhouse climate control systems
with missing measurement. Int J Innovative Comput Inf Control 8(3B):2173–2180
Master T (1993) Practical neural network recipies in C++. Morgan Kaufmann Publishers, San
Francisco
Miettinen K (1998) Nonlinear multiobjective optimization. Springer, New York
Moreno JC, Berenguel M, Rodríguez F, Baños A (2002) Robust control of greenhouse climate
exploiting measureable disturbances. In: IFAC 15th triennial congress, Barcelona, Spain
Morari M, Zafiriou E (1989) Robust process control. Prentice-Hall, Inc, Englewood Cliffs
Nachidi M, Rodríguez F, Tadeo F, Guzmán JL (2011) Takagi-Sugeno control of nocturnal
temperature in greenhouses using air heating. ISA Trans 50:315–320
Occhipinti L, Nunnari G (1996) Synthesis of a greenhouse climate controller using AI-based
techniques. In: Proceedings of IEEE international conference MELECON, pp 230–233
Ödük MN, Allahverdi N (2011) The advantages of fuzzy control over traditional control system
in greenhouse automation. In: ICGST-AIML-11 conference, Dubai, UAE, 12-14 April 2012,
pp 91–97
Ogata K (2002) Modern control engineering, 4th edn. Prentice-Hall, Upper Saddle River, p 964
Patil SL, Tantau HJ, Salokhe VM (2008) Modelling of tropical greenhouse temperature by auto
regressive and neural network models. Biosyst Eng 99:423–431
Pasgianos GD, Arvanitis KG, Polycarpou P, Sigrimis N (2003) A nonlinear feedback technique
for greenhouse environmental control. Comput Electron Agric 40:153–177
Passino K, Yurkovich S (1997) Fuzzy control. Addison-Wesley, Menlo-Park, p 502
Piñón S, Camacho EF, Kuchen B, Peña M (2005) Constrained predictive control of a greenhouse.
Comput Electron Agric 49:317–329
Pohlheim H, Heibner A (1997) Optimal control of greenhouse climate using a short time climate
model and evolutionary algorithms. ISHS/IFAC 3rd workshop on mathematical and control
applications in agriculture and horticulture, pp 113–118
Pohlheim H, Heibner A (1999) Optimal control of greenhouse climate using real-world weather
data and evolutionary algorithms. In: Proceedings of the genetic and evolutionary
computation conference, Morgan Kaufmann, San Francisco, CA, pp 1672–1677
Pucheta J, Patiño H, Fullana R, Schugurensky C, Kuchen B (2006) A neuro-dynamic
programming-based optimal controller for tomato seedling growth in greenhouse systems.
Neural Process Lett 24:241–260
Qiuying Z, Jianwei J, Qingji L, Rui H (2010) Application of ANFIS for modelling and simulation
of the greenhouse environment. In: 2nd international conference on industrial mechatronics
and automation (ICIMA), 30-31 May 2010, pp 29–32
Qu Y, Ning D, Lai Z, Cheng Q, Mu L (2011) Neural networks based on PID control for
greenhouse temperature. Trans Chin Soc Agric Eng 27:307–311
Ramírez-Arias A, Rodríguez F, Guzmán JL, Arahal JL, Bereguel M, López JC (2005) Improving
efficiency of greenhouse heating systems using MPC. In: 16th IFAC World Congress. Czech
Rebublic, Prague
Ramírez-Arias A, Rodríguez F, Guzmán JL, Bereguel M (2012) Mutltiobjective hierarchical
control architecture for greenhouse crop growth. Automatica 48:490–498
Ren W, Xiang Q, Yang Y, Cui H, Dai L (2011) Implement of fuzzy control for greenhouse
irrigation. CCTA 2010, Part I. IFIP AICT 344:267–274
Rodríguez F, Guzmán JL, Berenguel M, Arahal MR (2008) Adaptive hierarchical control of
greenhouse crop production. Int J Adapt Control Signal Process 22:180–197
Salazar R, López I, Rojano A (2008) A neural network model to predict temperature and relative
humidity in a greenhouse. Acta Hort (ISHS) 801:539–546
Salazar R, Schmidt U, Huber C, Rojano A, Lopez I (2010) Neural networks models for
temperature and CO2 control. Int J Agric Res 5:191–200
14 Control Strategies of Greenhouse Climate
419
humidity of arched and venlo-type greenhouses in central México. Agrociencia 44:791–805
Lopez-Cruz IL, Rojano-Aguilar A, Ojeda-Bustamante W, Salazar-Moreno R (2007) ARX models
for predicting greenhouse air temperature: a methodology. Agrociencia 41:181–192
Luan X, Shi Y, Liu F (2012) Unscented Kalman filtering for greenhouse climate control systems
with missing measurement. Int J Innovative Comput Inf Control 8(3B):2173–2180
Master T (1993) Practical neural network recipies in C++. Morgan Kaufmann Publishers, San
Francisco
Miettinen K (1998) Nonlinear multiobjective optimization. Springer, New York
Moreno JC, Berenguel M, Rodríguez F, Baños A (2002) Robust control of greenhouse climate
exploiting measureable disturbances. In: IFAC 15th triennial congress, Barcelona, Spain
Morari M, Zafiriou E (1989) Robust process control. Prentice-Hall, Inc, Englewood Cliffs
Nachidi M, Rodríguez F, Tadeo F, Guzmán JL (2011) Takagi-Sugeno control of nocturnal
temperature in greenhouses using air heating. ISA Trans 50:315–320
Occhipinti L, Nunnari G (1996) Synthesis of a greenhouse climate controller using AI-based
techniques. In: Proceedings of IEEE international conference MELECON, pp 230–233
Ödük MN, Allahverdi N (2011) The advantages of fuzzy control over traditional control system
in greenhouse automation. In: ICGST-AIML-11 conference, Dubai, UAE, 12-14 April 2012,
pp 91–97
Ogata K (2002) Modern control engineering, 4th edn. Prentice-Hall, Upper Saddle River, p 964
Patil SL, Tantau HJ, Salokhe VM (2008) Modelling of tropical greenhouse temperature by auto
regressive and neural network models. Biosyst Eng 99:423–431
Pasgianos GD, Arvanitis KG, Polycarpou P, Sigrimis N (2003) A nonlinear feedback technique
for greenhouse environmental control. Comput Electron Agric 40:153–177
Passino K, Yurkovich S (1997) Fuzzy control. Addison-Wesley, Menlo-Park, p 502
Piñón S, Camacho EF, Kuchen B, Peña M (2005) Constrained predictive control of a greenhouse.
Comput Electron Agric 49:317–329
Pohlheim H, Heibner A (1997) Optimal control of greenhouse climate using a short time climate
model and evolutionary algorithms. ISHS/IFAC 3rd workshop on mathematical and control
applications in agriculture and horticulture, pp 113–118
Pohlheim H, Heibner A (1999) Optimal control of greenhouse climate using real-world weather
data and evolutionary algorithms. In: Proceedings of the genetic and evolutionary
computation conference, Morgan Kaufmann, San Francisco, CA, pp 1672–1677
Pucheta J, Patiño H, Fullana R, Schugurensky C, Kuchen B (2006) A neuro-dynamic
programming-based optimal controller for tomato seedling growth in greenhouse systems.
Neural Process Lett 24:241–260
Qiuying Z, Jianwei J, Qingji L, Rui H (2010) Application of ANFIS for modelling and simulation
of the greenhouse environment. In: 2nd international conference on industrial mechatronics
and automation (ICIMA), 30-31 May 2010, pp 29–32
Qu Y, Ning D, Lai Z, Cheng Q, Mu L (2011) Neural networks based on PID control for
greenhouse temperature. Trans Chin Soc Agric Eng 27:307–311
Ramírez-Arias A, Rodríguez F, Guzmán JL, Arahal JL, Bereguel M, López JC (2005) Improving
efficiency of greenhouse heating systems using MPC. In: 16th IFAC World Congress. Czech
Rebublic, Prague
Ramírez-Arias A, Rodríguez F, Guzmán JL, Bereguel M (2012) Mutltiobjective hierarchical
control architecture for greenhouse crop growth. Automatica 48:490–498
Ren W, Xiang Q, Yang Y, Cui H, Dai L (2011) Implement of fuzzy control for greenhouse
irrigation. CCTA 2010, Part I. IFIP AICT 344:267–274
Rodríguez F, Guzmán JL, Berenguel M, Arahal MR (2008) Adaptive hierarchical control of
greenhouse crop production. Int J Adapt Control Signal Process 22:180–197
Salazar R, López I, Rojano A (2008) A neural network model to predict temperature and relative
humidity in a greenhouse. Acta Hort (ISHS) 801:539–546
Salazar R, Schmidt U, Huber C, Rojano A, Lopez I (2010) Neural networks models for
temperature and CO2 control. Int J Agric Res 5:191–200
14 Control Strategies of Greenhouse Climate
419