Abstract
We explain a main connection between relaxed control and hybrid systems. We summarize the non-multiple agent aspects of our research. We describe new algorithms for approximating relaxed optimal controls based on a generalized form of linear programming using convex analysis. Finally we use chattering to derive an analogue of the Hamilton-Jacobi-Bellman equation and dynamic programming in our hybrid systems model.
Research supported by U.S. Army Research Office contract DAAL03-91-C-0027.
Research supported by SDIO contract DAA H-04-93-C-0113, Dept. of Commerce Agreement 70-NANB5H1164.
Research supported by U.S. Army Research Office contract DAAL03-91-C-0027, SDIO contract DAA H-04-93-C-0113, Dept. of Commerce Agreement 70-NANB5H1164.
Research supported by U.S. Army Research Office contract DAAL03-91-C-0027, Dept. of Commerce Agreement 70-NANB5H1164, NSF grant DMS-9306427.
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Ge, X., Kohn, W., Nerode, A., Remmel, J.B. (1996). Hybrid systems: Chattering approximation to relaxed controls. In: Alur, R., Henzinger, T.A., Sontag, E.D. (eds) Hybrid Systems III. HS 1995. Lecture Notes in Computer Science, vol 1066. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0020937
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DOI: https://doi.org/10.1007/BFb0020937
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