A Multiagent Approach Using Model-Based Predictive Control for an Irrigation Canal
This paper presents the application of the multiagent paradigm to a distributed model-based predictive control (DMPC) scheme in order to improve its fault tolerance, give it the ability to dynamically adapt its strategy to optimize energy consumption, and to allow it to scale up. This approach is illustrated in the control of a canal simulated using realistic, physics-based 1D models in MatLab. The individual agent behavior, based on DMPC, and the multiagent composition mechanism are described. Presented simulation results illustrate the ability of the proposed control scheme to adapt to a hardware failure and to take global strategies into account.
Keywordsdistributed control water system predictive control
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