Abstract
Two open-loop analysis techniques for assessing input-output controllability in the presence of control constraints are presented. The techniques used are a modified singular value analysis technique and a new optimization-based approach. The case study discussed has, depending on the choice of manipulated variables and measurable outputs, several alternative two-input two-output control schemes. The results are verified by performing closed loop simulations with PI controllers. These show that both methods are able to predict the process' closed loop performance in the presence of control constraints.
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.
