Abstract
In this chapter, three collaborative and learning-type controllers inspired by immune system are introduced. Firstly, a novel reinforcement learning intelligent controller (RLIC) based on primary–secondary response mechanism of immune system is presented. Secondly, an iterative learning control method based on the recognition, response, and memory mechanism of immune system (IRRM-ILC) is proposed. Finally, based on the biological immune mechanisms, a design approach for the immune reconfigurable controller (IRC) is proposed.
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.
