Biblio
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2016.
Basic Properties and Characterizations of Incremental Stability Prioritizing Flow Time for a Class of Hybrid Systems. Systems and Control Letters. 90:7-15.
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2016. Interconnected Observers for Linear Systems to Improve Rate of Convergence and Robustness to Measurement Noise. To appear in IEEE Transactions on Control of Network Systems.
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2015. A Finite-time Convergent Observer with Robustness to Piecewise-constant Measurement Noise. Automatica. 57:222-230.
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2015. On Distributed Observers for Linear Time-invariant Systems Under Intermittent Information Constraints. Proceedings of 10th IFAC Symposium on Nonlinear Control Systems. :666–671.
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2016. Results on Finite Time Stability for A Class of Hybrid Systems. In Proceedings of the American Control Conference. :4263–4268.
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2016. A Decentralized Consensus Algorithm for Distributed State Observers with Robustness Guarantees. In Proceedings of the American Control Conference. :1876–1881.
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2016. On Necessary and Sufficient Conditions for Incremental Stability of Hybrid Systems using the Graphical Distance between Solutions. Proceedings of the IEEE Conference on Decision and Control. :5575–5580.
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2015. Results on Incremental Stability for A Class Hybrid Systems. Proceedings of the Conference on Decision and Control. :3089–3094.
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2014. Robust Distributed State Observers with Performance Guarantees and Optimized Communication Graph. Proceedings of the 2014 American Control Conference. :1090-1095.
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2014. A Robust Finite-time Convergent Hybrid Observer for Linear Systems. Proceedings of the IEEE Conference on Decision and Control. :3349–3354.
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2013. A Coupled Pair of {L}uenberger Observers for Linear Systems to Improve Rate of Convergence and Robustness to Measurement Noise. Proceedings of the American Control Conference. :2503–2508.
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