Abstract
The concept of joint state and parameter estimation for water supply systems under bounded uncertainty is presented in this paper. A recursive scheme to tackle dynamic estimation problems is proposed. The nonlinear non-convex estimation problem is transformed into a separable programming problem, which is formulated as a sparse mixed integer linear programming problem by piecewise linear approximation in order to guarantee the global optima. A real water system is extensively studied using the algorithm presented in this paper
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
