Robust control of a class of uncertain nonlinear systems
Systems & Control Letters
Optimal Sampled-Data Control Systems
Optimal Sampled-Data Control Systems
Digital Control of Dynamic Systems
Digital Control of Dynamic Systems
Brief paper: Sampled-data control of networked linear control systems
Automatica (Journal of IFAC)
Technical Communique: Robust sampled-data stabilization of linear systems: an input delay approach
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Comparison of overapproximation methods for stability analysis of networked control systems
Proceedings of the 13th ACM international conference on Hybrid systems: computation and control
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
Robustness analysis for the certification of digital controller implementations
Proceedings of the 1st ACM/IEEE International Conference on Cyber-Physical Systems
Brief paper: A novel stability analysis of linear systems under asynchronous samplings
Automatica (Journal of IFAC)
Stability analysis of networked control systems: A sum of squares approach
Automatica (Journal of IFAC)
Random stabilization of sampled-data control systems with nonuniform sampling
International Journal of Automation and Computing
Multirate controller design for resource- and schedule-constrained automotive ECUs
Proceedings of the Conference on Design, Automation and Test in Europe
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This paper is concerned with nonuniform sampling systems, where the sampling interval is time-varying within a certain known bound. The system is transformed into a time-varying discrete time system, where time-varying parts due to the sampling interval variation are treated as norm bounded uncertainties using robust control techniques. To reduce conservatism arising from modeling time-varying parts as a single uncertainty, the time-varying parts are modeled as N uncertainties. With larger N, a less conservative stability condition is derived at sacrifice of more computation. It is shown through a numerical example that the proposed stability condition is better than existing stability conditions.