Abstract
In this paper, the problem of robust control of hybrid systems is investigated. The hybrid systems under study are characterized as systems whose inputs contain both analog variables and discrete actions and whose behavior belongs to an uncertainty set which includes both metric modeling errors and discrete structural uncertainties.
For a generic class of uncertain nonlinear hybrid systems, a design methodology for hybrid state feedback which maps hybrid states to hybrid control variables is developed based on system performance. Robust stability and performance of the closed-loop hybrid systems are established for systems subject to both analog modeling errors and structural uncertainties.
This research is supported in part by the National Science Foundation under grants ECS-9412471 and ECS-9634375, and by a research grant from Ford Motor Company.
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Wang, L.Y., Khargonekar, P.P., Beydoun, A. (1999). Robust Control of Hybrid Systems: Performance Guided Strategies. In: Antsaklis, P., Lemmon, M., Kohn, W., Nerode, A., Sastry, S. (eds) Hybrid Systems V. HS 1997. Lecture Notes in Computer Science, vol 1567. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49163-5_20
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DOI: https://doi.org/10.1007/3-540-49163-5_20
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