Abstract
Abstract Mid-ranging control applications are multivariate and often involve input constraints. Although some strategies have been reported to work well in industry, no systematic comparison has ever been made. The purpose of this report is to compare these schemes to a model-based predictive control (MPC) approach designed specifically for constrained multivariable control problems. The results indicate that although there are special cases where the existing schemes work reasonably well, MPC is best able to solve the problem in the general case.
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.
