Intelligent control and energy optimization in controlled environment agriculture via nonlinear model predictive control of semi-closed greenhouse

[1]  F. You,et al.  Sustainable design of Cornell University campus energy systems toward climate neutrality and 100% renewables , 2022, Renewable and Sustainable Energy Reviews.

[2]  Fengqi You,et al.  Semiclosed Greenhouse Climate Control Under Uncertainty via Machine Learning and Data-Driven Robust Model Predictive Control , 2022, IEEE Transactions on Control Systems Technology.

[3]  F. You,et al.  Smart greenhouse control under harsh climate conditions based on data-driven robust model predictive control with principal component analysis and kernel density estimation , 2021, Journal of Process Control.

[4]  X. Xia,et al.  Model predictive control of a Venlo-type greenhouse system considering electrical energy, water and carbon dioxide consumption , 2021 .

[5]  Fengqi You,et al.  Data-driven robust model predictive control framework for stem water potential regulation and irrigation in water management , 2021 .

[6]  E. Fabrizio,et al.  Energy performance and climate control in mechanically ventilated greenhouses: A dynamic modelling-based assessment and investigation , 2021, Applied Energy.

[7]  Enrico Fabrizio,et al.  A Supervisory Control Strategy for Improving Energy Efficiency of Artificial Lighting Systems in Greenhouses , 2021, Energies.

[8]  Yang Wang,et al.  Modeling and optimization of environment in agricultural greenhouses for improving cleaner and sustainable crop production , 2020 .

[9]  Fengqi You,et al.  Soft‐constrained model predictive control based on data‐driven distributionally robust optimization , 2020 .

[10]  Ahmed Ouammi,et al.  Model Predictive Control of Smart Greenhouses as the Path towards Near Zero Energy Consumption , 2020, Energies.

[11]  F. Kempkes,et al.  GreenLight – An open source model for greenhouses with supplemental lighting: Evaluation of heat requirements under LED and HPS lamps , 2020 .

[12]  Huiqing Guo,et al.  Heating demand and economic feasibility analysis for year-round vegetable production in Canadian Prairies greenhouses , 2019, Information Processing in Agriculture.

[13]  Chao Shang,et al.  Robust Model Predictive Control of Irrigation Systems With Active Uncertainty Learning and Data Analytics , 2018, IEEE Transactions on Control Systems Technology.

[14]  Xu Dan,et al.  Robust model predictive control for greenhouse temperature based on particle swarm optimization , 2018, Information Processing in Agriculture.

[15]  X. Bi,et al.  Greenhouses for CO2 sequestration from atmosphere , 2018, Carbon Resources Conversion.

[16]  Daoliang Li,et al.  Model predictive control and its application in agriculture: A review , 2018, Comput. Electron. Agric..

[17]  Chao Shang,et al.  A data-driven robust optimization approach to scenario-based stochastic model predictive control , 2018, Journal of Process Control.

[18]  Daoliang Li,et al.  Automatic carbon dioxide enrichment strategies in the greenhouse: A review , 2018, Biosystems Engineering.

[19]  James W. Jones,et al.  Review of optimum temperature, humidity, and vapour pressure deficit for microclimate evaluation and control in greenhouse cultivation of tomato: a review , 2018 .

[20]  I. Hameed,et al.  Advances in greenhouse automation and controlled environment agriculture: A transition to plant factories and urban agriculture , 2018 .

[21]  Doaa M. Atia,et al.  Analysis and design of greenhouse temperature control using adaptive neuro-fuzzy inference system , 2017 .

[22]  Lihong Xu,et al.  Towards discrete time model for greenhouse climate control , 2017 .

[23]  Sebastian Engell,et al.  Rapid development of modular and sustainable nonlinear model predictive control solutions , 2017 .

[24]  Alessandro Sorichetta,et al.  High resolution global gridded data for use in population studies , 2017, Scientific Data.

[25]  Kurt K. Benke,et al.  Future food-production systems: vertical farming and controlled-environment agriculture , 2017 .

[26]  Christine Becker,et al.  CO₂ enrichment can produce high red leaf lettuce yield while increasing most flavonoid glycoside and some caffeic acid derivative concentrations. , 2016, Food chemistry.

[27]  Lihong Xu,et al.  Adaptive Fuzzy Control of a Class of MIMO Nonlinear System With Actuator Saturation for Greenhouse Climate Control Problem , 2016, IEEE Transactions on Automation Science and Engineering.

[28]  Zheng Shen,et al.  A control method for agricultural greenhouses heating based on computational fluid dynamics and energy prediction model , 2015 .

[29]  David Q. Mayne,et al.  Model predictive control: Recent developments and future promise , 2014, Autom..

[30]  S. Joe Qin,et al.  Application of economic MPC to the energy and demand minimization of a commercial building , 2014 .

[31]  Lorenz T. Biegler,et al.  Optimal sensitivity based on IPOPT , 2012, Math. Program. Comput..

[32]  Francisco Rodríguez,et al.  Multiobjective hierarchical control architecture for greenhouse crop growth , 2012, Autom..

[33]  Manfred Morari,et al.  Use of model predictive control and weather forecasts for energy efficient building climate control , 2012 .

[34]  Francisco Rodríguez,et al.  Nonlinear MPC based on a Volterra series model for greenhouse temperature control using natural ventilation , 2011 .

[35]  Damien Fay,et al.  On the Influence of Weather Forecast Errors in Short-Term Load Forecasting Models , 2010, IEEE Transactions on Power Systems.

[36]  Ep Heuvelink,et al.  Quantification of temperature, CO2, and light effects on crop photosynthesis as a basis for model-based greenhouse climate control , 2009 .

[37]  Luis S. Pereira,et al.  Estimating reference evapotranspiration with the FAO Penman-Monteith equation using daily weather forecast messages , 2007 .

[38]  Hans-Peter Kläring,et al.  Model-based control of CO2 concentration in greenhouses at ambient levels increases cucumber yield , 2007 .

[39]  H.-J. Tantau,et al.  Non-linear constrained MPC: Real-time implementation of greenhouse air temperature control , 2005 .

[40]  David Q. Mayne,et al.  Constrained state estimation for nonlinear discrete-time systems: stability and moving horizon approximations , 2003, IEEE Trans. Autom. Control..

[41]  M. Lieffering,et al.  Free-air CO2 enrichment (FACE) using pure CO2 injection: system description , 2001 .

[42]  E. Camacho,et al.  Constrained predictive control of a greenhouse , 2000 .

[43]  Louis D. Albright,et al.  CONTROLLING GREENHOUSE LIGHT TO A CONSISTENT DAILY INTEGRAL , 2000 .

[44]  Frank Allgöwer,et al.  A quasi-infinite horizon nonlinear model predictive control scheme with guaranteed stability , 1997, 1997 European Control Conference (ECC).

[45]  Lorenz T. Biegler,et al.  Constraint handing and stability properties of model‐predictive control , 1994 .

[46]  James B. Rawlings,et al.  Nonlinear Model Predictive Control: A Tutorial and Survey , 1994 .

[47]  Manfred Morari,et al.  Model predictive control: Theory and practice - A survey , 1989, Autom..

[48]  Leiv M. Mortensen,et al.  Review: CO2 enrichment in greenhouses. Crop responses , 1987 .

[49]  L. M. Mortensen,et al.  Effects of light quality on some greenhouse crops , 1987 .

[50]  D. Sorensen.  Newton's method with a model trust region modification , 1982 .

[51]  Theodore W. Tibbitts,et al.  Humidity and Plants , 1979 .

[52]  S Ginestet,et al.  Numerical and experimental identification of simplified building walls using the reflective Newton method , 2018 .

[53]  Liang Meihui,et al.  Greenhouse temperature predictive control for energy saving using switch actuators , 2018 .

[54]  Xavier Blasco,et al.  Model-based predictive control of greenhouse climate for reducing energy and water consumption , 2007 .

[55]  J. Butcher.  Numerical methods for ordinary differential equations , 2003 .

[56]  G. Martin,et al.  Nonlinear model predictive control , 1999, Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251).

[57]  M. Hänninen,et al.  The Source of Your Drinking Water , 1998 .

[58]  J. M. Ferrández,et al.  A tale of three cities. The correspondence of William Sharpey and Allen Thomson. , 1989, Medical history. Supplement.

[59]  Gerhard Czeplak,et al.  Solar and terrestrial radiation dependent on the amount and type of cloud , 1980 .

[60]  B. Kimball,et al.  Tomato yields from CO_2 enrichment in unventilated and conventionally ventilated greenhouses. , 1979 .