Abstract
This paper proposes an event-triggered adaptive optimal output-feedback control method for continuous-time linear systems. With the proposed design, the unmeasurable states are reconstructed by using the measurable input and output data, and the discrete-time algebraic Riccati equation is iteratively solved through adaptive dynamic programming. Then, an event-based feedback strategy is introduced to the closed-loop system to reduce the communication between the controller and the plant. Convergence to the optimal solution and the closed-loop stability analysis are carried out by using Lyapunov method. Two numerical examples are employed to verify the effectiveness of the design.
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.
