Abstract
Fuzzy Relational Models (FRM) are used when implementing a dynamic matrix control (DMC) algorithm on a nonlinear process which exhibits multiplicity of steady state solutions. Following Ozkan, Ozkan and Camurdan, the openloop unstable equilibrium point of the process is first stabilized by an analog proportional only controller. DMC is then used to control this stabilized system. Both servo and regulatory control are investigated. Locally and globally obtained fixed and globally obtained variable FRMs are used. In some runs the recursive least squares (RLS) algorithm is also used to update the relational array so as to provide on-line learning. It is shown by simulations that FRMs that are identified in a local region performed as well as those that are identified in the whole operating region. On the other hand the performance of the system was found to be poor if a variable model is used.
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.
