0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessThis letter is devoted to the asynchronous observer-based <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$ {\mathscr {H}}_{\infty }$ </tex-math></inline-formula> output-feedback control problem for continuous-time piecewise-affine systems via continuous piecewise Lyapunov functions. More precisely, by a system state-input augmentation, the traditional observer-based closed-loop control system is initially re-organized into a descriptor form of the piecewise-affine system. With the construction of a continuous asynchronous piecewise Lyapunov function, a new <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${\mathscr {H}}_{\infty }$ </tex-math></inline-formula> performance analysis condition is then presented. Thanks to the special structure of the descriptor format, the asynchronous observer-based control design can be carried out by virtue of a convex program. An illustrative example is finally given to show the efficacy of the proposed scheme.
Yanling Wei, Xingjian Jing, Wei Xing Zheng, Jianbin Qiu, Hamid Reza Karimi (2018). A New Design of Asynchronous Observer-Based Output-Feedback Control for Piecewise-Affine Systems. IEEE Control Systems Letters, 3(2), pp. 338-343, DOI: 10.1109/lcsys.2018.2878256.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2018
Authors
5
Datasets
0
Total Files
0
Language
English
Journal
IEEE Control Systems Letters
DOI
10.1109/lcsys.2018.2878256
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access