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In this paper an operational control for the Toronto's Transmission Water System (TWS) is considered. The main objective of the ongoing Transmission Operations Optimizer (TOO) project consists in developing an advanced optimization and control tool for providing such pumping schedules for 153 pumps, that all quantitative requirements (such as pressure, flow, water level and water quality) with respect to the system operation are met, while the energy costs of delivering fresh water are minimized.

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Implicit pole-assignment self-tuning algorithms are treated where the controller parameters are directly estimated from input-output data. Most algorithms based on pole-assignment are explicit schemes involving a parameter estimation and synthesisstage to obtain controller parameters. The object of the work reported here is to have an algorithm that has the robustness of pole-assignmentand the simplicity of the implicit approach.

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