Abstract

Consider an unknown, possibly unstable and linear time-invariant LTI system with output disturbance. Based on the concept of learning identification introduced in Teo et al. 1995 and the iterative scheme proposed in Zang et al. 1992, a new scheme for mutually enhanced data-based least squares identification and model-based LQG robust control design is presented. One of the novel features of this scheme is that both the identification and the robust control design tasks can be performed by minimizing a single cost function. To illustrate the effectiveness of the proposed scheme, a numerical example is presented.

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 call

Disclaimer: 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.