Abstract
With the rapid development of industrial batch processes, iterative learning control (ILC), which is a common and effective control strategy for batch processes, has received much attention. However, the performance assessment for ILC is still an open problem. A new method is proposed to assess the control performance of iterative learning control (ILC) using a two-dimensional (2-D) linear quadratic Gaussian (LQG) benchmark. First this study converts the batch process under ILC into a 2-D Roesser model. Then to assess the 2-D closed-loop system, the traditional LQG tradeoff curve is extended to the LQG tradeoff surface. The advantages of the proposed strategies are demonstrated by some simulation tests.
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.
