Arauz, T., Maestre, J.M., Tian, X. & Guan, G. (2020). Design of PI controllers for irrigation canals based on linear matrix inequalities. Water, 12(3), 855, https://doi.org/10.3390/w12030855.
Bonet, E., Gómez, M., Yubero, M. & Fernández-Francos, J. (2017). GOROSOBO: an overall control diagram to improve the efficiency of water transport systems in real time. Journal of Hydroinformatics, 19(3), 364-384.
Carlucho, I., De Paula, M. & Acosta, G.G. (2019). Double Q-PID algorithm for mobile robot control. Expert Systems with Applications, 137, 292-307.
Conde, G., Quijano, N. & Ocampo-Martinez, C. (2021). Modeling and control in open-channel irrigation systems: A review. Annual Reviews in Control, 51, 153-171.
Daneshfaraz, R., Dasineh, M. & Ghaderi, A. (2019). Evaluation of Scour Depth around Bridge Piers with HEC-RAS (Case study: Bridge of Simineh Rood, Miandoab, Iran). Environment and Water Engineering, 5(2), 91-102.
Daneshfaraz, R., Norouzi, R., Abbaszadeh, H. & Azamathulla, H.M. (2022). Theoretical and experimental analysis of applicability of sill with different widths on the gate discharge coefficients. Water Supply, 22(10), 7767-7781.
Daneshfaraz, R., Norouzi, R. & Ebadzadeh, P. (2022). Experimental and numerical study of sluice gate flow pattern with non- suppressed sill and its effect on discharge coefficient in free-flow conditions. Journal of Hydraulic Structures, 8(1), 1-20.
Daneshfaraz, R., Norouzi, R., Ebadzadeh, P. & Kuriqi, A. (2023). Influence of sill integration in labyrinth sluice gate hydraulic performance. Innovative Infrastructure Solutions, 8(4), 118.
Daneshfaraz, R., Norouzi, R., Ebadzadeh, P., Di Francesco, S. & Abraham, J.P. (2023). Experimental study of geometric shape and size of sill effects on the hydraulic performance of sluice gates. Water, 15(2), 314, https://doi.org/10.3390/w15020314.
Deshays, R., Segovia, P. & Duviella, E. (2021). Design of a MATLAB HEC-RAS Interface to Test Advanced Control Strategies on Water Systems. Water, 13(6), 763, https://doi.org/10.3390/ w13060763.
Dulhoste, J.-F., Georges, D. & Besançon, G. (2004). Nonlinear control of open-channel water flow based on collocation control model. Journal of Hydraulic Engineering, 130(3), 254-266.
Fard, A.A., Shahdany, S.M.H., & Javadi, S. (2021). Automatic surface water distribution systems: A reliable alternative for energy conservation in agricultural section. Sustainable Energy Technologies and Assessments, 45, 101216, https:// doi.org/10.1016/j.seta.2021.101216.
Fatemeh, O., Hesam, G. & Shahverdi, K. (2020). Comparing Fuzzy SARSA Learning (FSL) and Ant Colony Optimization (ACO) Algorithms in Water Delivery Scheduling under Water Shortage Conditions. Journal of Irrigation and Drainage Engineering, 146(9), 04020028, https://doi.org/10. 1061/(ASCE)IR.1943-4774.0001496.
Figueiredo, J., Botto, M. A. & Rijo, M. (2013). SCADA system with predictive controller applied to irrigation canals. Control Engineering Practice, 21(6), 870-886.
Goodell, C. (2014). Breaking the HEC-RAS Code: A User's Guide to Automating HEC-RAS. h2ls, 278p.
Goodell, C. (2016). Advanced Gate Operation Strategies in HEC-RAS 5.0, doi:10.15142/ T3430628160853.
Hashemy, S., Monem, M., Maestre, J. & Van Overloop, P. (2013). Application of an In-Line Storage Strategy to Improve the Operational Performance of Main Irrigation Canals Using Model Predictive Control. Journal of Irrigation and Drainage Engineering, 139(8), 635-644.
Hayami, S. (1951). On the propagation of flood waves. Disaster Prevention Research Institute, Kyoto University. Bulletin No. 1, Kyoto, Japan.
Herrera, J., Ibeas, A. & de la Sen, M. (2013). Identification and control of integrative MIMO systems using pattern search algorithms: An application to irrigation channels. Engineering Applications of Artificial Intelligence, 26(1), 334-346.
Howard, K., Zarillo, G., Splitt, M., Lazarus, S., Chiao, S., Santos, P. & Sharp, D. (2009). The impact of atmospheric model resolution on a coupled wind/wave forecast system. Preprints, 16th Conf. on Air–Sea Interaction, Phoenix, AZ, Amer. Meteor. Soc, CD-ROM P9.2.
Isapoor, S., Montazar, A., Van Overloop, P. & Van De Giesen, N. (2011). Designing and evaluating control systems of the Dez main canal. Irrigation and Drainage, 60(1), 70-79.
Leon, A.S. & Goodell, C. (2016). Controlling Hec-Ras using Matlab. Environmental Modelling & Software, 84, 339-348.
Litrico, X., Malaterre, P.-O., Baume, J.-P., Vion, P.-Y. & Ribot-Bruno, J. (2007). Automatic tuning of PI controllers for an irrigation canal pool. Journal of Irrigation and Drainage Engineering, 133(1), 27-37.
Lozano, D., Arranja, C., Rijo, M. & Mateos, L. (2010). Simulation of automatic control of an irrigation canal. Agricultural Water Management, 97(1), 91-100.
Molden, D.J. & Gates, T.K. (1990). Performance measures for evaluation of irrigation-water-delivery systems. Journal of Irrigation and Drainage Engineering, 116(6), 804-823.
Mollazeynali, H. & Shahverdi, K. (2022). Application and Evaluation of Elevation Controlled Gates Boundary Condition in HEC-RAS in Water Conveyance and Distribution Systems. Journal of Water and Irrigation Management, 12(4), 847-858. (In Persian)
Saddam, G. & Batlle, V.F. (2020). Robust Fractional Order Control of a Pool of a Main Irrigation Canal in Submerged Flow Condition. IFAC-Papers OnLine, 53(2), 16611-16616.
Shahdany, S.H., Taghvaeian, S., Maestre, J. & Firoozfar, A. (2019). Developing a centralized automatic control system to increase flexibility of water delivery within predictable and unpredictable irrigation water demands. Computers and Electronics in Agriculture, 163, 104862, https:// doi.org/10.1016/j.compag.2019.104862.
Shahverdi, K., Alamiyan-Harandi, F. & Maestre, J. (2022). Double Q-PI architecture for smart model-free control of canals. Computers and Electronics in Agriculture, 197, 106940, https://doi.org/10.1016/ j.compag.2022.106940.
Shahverdi, K. & Monem, M.J. (2012). Construction and evaluation of the bival automatic control system for irrigation canals in a laboratory flume. Irrigation and Drainage, 61(2), 201-207.
Shahverdi, K. & Monem, M.J. (2015). Application of reinforcement learning algorithm for automation of canal structures. Irrigation and Drainage, 64(1), 77-84.
Tavares, I., Borges, J., Mendes, M.J. & Botto, M.A. (2013). Assessment of data-driven modeling strategies for water delivery canals. Neural Computing and Applications, 23(3), 625-633.
Van Overloop, P.-J., Horváth, K. & Aydin, B.E. (2014). Model predictive control based on an integrator resonance model applied to an open water channel. Control Engineering Practice, 27, 54-60.
Weyer, E. (2008). Control of irrigation channels. IEEE Transactions on Control Systems Technology, 16(4), 664-675.
Zamani, S., Parvaresh Rizi, A. & Isapoor, S. (2015). The effect of design parameters of an irrigation canal on tuning of coefficients and performance of a PI controller. Irrigation and Drainage, 64(4), 519-534.
Zhong, K., Guan, G., Tian, X., Maestre, J.M. & Mao, Z. (2020). Evaluating optimization objectives in linear quadratic control applied to open canal automation. Journal of Water Resources Planning and Management, 146(11), 04020087, https:// doi.org/10.1061/(ASCE)WR.1943-5452.0001286.