Abstract
Abstract In this paper an adaptive Nonlinear Model Predictive Control (NMPC) scheme is proposed to control the gene expression of yeast using the application of osmostic shocks. The proposed control method handles the presence of delays, input constraints, as well as unknown model parameters during the controlled scenario. A controller was designed that optimized the integer-valued control sequence so that the output trajectory of the system follows a target reference signal. To tackle the unavoidable parameter uncertainties, a dedicated parameter estimation scheme is proposed that is then coupled to the NMPC design. Simulations are presented to assess the efficiency of the proposed framework in addressing the underlying control problem.
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.
