Abstract
In order to implement the tracking control design towards concentrations of dissolved oxygen and nitrate nitrogen in wastewater treatment, a data-based iterative dual heuristic dynamic programming (DHP) method is established in this paper. First, the optimal tracking control problem is transformed into the optimal regulation problem. Then, the iterative adaptive dynamic programming strategy is introduced to solve the optimal control problem of the new system with the discount factor in the cost function, and the convergence analysis of the iterative algorithm is given. Furthermore, a new training approach is used to adjust the weights of the action and critic networks. Finally, the experimental simulation for a wastewater treatment plant is presented to verify the applicability of the proposed iterative DHP optimal tracking control method.
Sign-in/Register to access full text options 
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.
