Abstract
This paper addresses the problem of data-driven control and stability analysis for networked control systems (NCSs). The systems considered in this paper are assumed to be linear with unknown system matrices and bounded external disturbance. Firstly, a static state-feedback controller is derived directly from noisy data in the absence of network. Secondly, the NCSs including a dynamic event-triggering mechanism (DETM) and time-varying transmission delays are modeled as a hybrid system. Then the <inline-formula><tex-math notation="LaTeX">$\mathcal {L}_{2}$</tex-math></inline-formula>-stability conditions for the hybrid system are established by using the Lyapunov stability approach. Thirdly, by combining the model-based conditions and the parametric representation of the unknown system matrices, data-based stability conditions are derived. Based on the methods proposed in this paper, many well-established model-based theorems can be readily applied to the unknown linear systems. Finally, the proposed theories are verified on a turbofan engine hardware-in-the-loop (HIL) simulation platform.
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.
