- 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.
- Clemmens, A. J. (1987). Delivery system schedules and required capacities. , Planning, operation, rehabilitation and automation of irrigation water delivery systems, ASCE, 18-34.
- Clemmens, A. J., Kacerek, T. F., Grawitz, B., & Schuurmans, W. (1998). Test cases for canal control algorithms." Journal of Irrigation and Drainage Engineering, 124(1), 23-30.
- Durdu, Ö. F. (2010). Fuzzy logic adaptive Kalman filtering in the control of irrigation canals. International Journal for Numerical Methods in Fluids, 64(2), 187-208.
- 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. Irrigation and Drainage Engineering.
- Gopakumar, R., & Mujumdar, P. (2009). A fuzzy logic based dynamic wave model inversion algorithm for canal regulation. Hydrological processes, 23(12), 1739-1752.
- 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.
- Hashemy, S., & Van Overloop, P. (2013). Applying decentralized water level difference control for operation of the Dez main canal under water shortage. Journal of irrigation and drainage engineering, 139(12), 1037-1044.
- Lord, S. A., Shahdany, S. M. H., & Roozbahani, A. (2021). Minimization of Operational and Seepage Losses in Agricultural Water Distribution Systems Using the Ant Colony Optimization. Water Resources Management, 35(3), 827-846.
- Manz, D. H., & Schaalje, M. (1992). Development and application of the irrigation conveyance system simulation model. , International Seminar on the Application of the Irrigation Mathematical Modeling for the Improvement of Irrigation Canal Operation.
- 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.
- Monem, M. J., & Namdarian, R. (2005). Application of simulated annealing (SA) techniques for optimal water distribution in irrigation canals. Irrigation and Drainage, 54(4), 365-373.
- Savari, H., & Monem, M. J. (2021). Analysis and Classification of Arranged Delivery Methods in Irrigation Networks. Journal of water and irrigation management, 11(2), 145-158.
- Shahverdi, K., Monem, M. J., & Nili, M. (2016). Fuzzy SARSA learning of operational instructions to schedule water distribution and delivery. Irrigation and Drainage, 65(3), 276-284.
- Van Overloop, P.-J. (2006). Model predictive control on open water systems, IOS Press.
- Van Overloop, P., Maestre, J., Sadowska, A. D., Camacho, E. F., & De Schutter, B. (2015). Human-in-the-Loop Model Predictive Control of an Irrigation Canal [Applications of Control]. IEEE Control Systems Magazine, 35(4), 19-29.
- Wagemaker, R. (2005). Model Predictive Control on Irrigation Canals Application of various internal models, Delft University of Technology, Faculty of Civil Engineering and Geosciences, Section of Operational Watermanagement.
- Wang, Z., Reddy, J. M., & Feyen, J. (1995). Improved 0-1 programming model for optimal flow scheduling in irrigation canals. Irrigation and Drainage Systems, 9(2), 105-116..
|