Download Hybrid Systems: Computation and Control: 5th International by David Sharp (auth.), Claire J. Tomlin, Mark R. Greenstreet PDF

By David Sharp (auth.), Claire J. Tomlin, Mark R. Greenstreet (eds.)

This publication constitutes the refereed court cases of the fifth overseas Workshop on Hybrid structures: Computation and keep an eye on, HSCC 2002, held in Stanford, California, united states, in March 2002.
The 33 revised complete papers provided have been rigorously reviewed and chosen from seventy three submissions. All present concerns in hybrid platforms are addressed together with formal versions and strategies and computational representations, algorithms and heuristics, computational instruments, and leading edge applications.

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Extra info for Hybrid Systems: Computation and Control: 5th International Workshop, HSCC 2002 Stanford, CA, USA, March 25–27, 2002 Proceedings

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Goswami. Scalable nonlinear dynamical systems for agent steering and crowd simulation. Computers And Graphics, 25(6):983–998, 2001. [16] S. Graf and H. Saidi. Construction of abstract state graphs with PVS. In O. Grumberg, editor, Proc. 9th International Conference on Computer Aided Verification (CAV’97), volume 1254, pages 72–83. Springer Verlag, 1997. A. -H. Ho. A note on abstract-interpretation strategies for hybrid automata. In P. Antsaklis, A. Nerode, W. Kohn, and S. Sastry, editors, Hybrid Systems II, Lecture Notes in Computer Science 999, pages 252–264.

Rouchon, M. Fliess, J. Levine, and P. Martin. Flatness, motion planning and trailer systems. In Proc. 32nd IEEE Conf. on Decision and Control, pages 2700– 2075, San Antonio, Texas, 1993. [20] M. Sampei, T. Tamura, T. Kobayashi, and N. Shibui. Arbitrary path tracking control of articulated vehicles using nonlinear control theory. IEEE Transaction on Control Systems Technology, 3:125–131, 1995. J. Sørdalen. Conversion of the kinematics of a car with n trailers into chained form. In Proc. IEEE Int.

We can now compute the possible successor states of an enabled transition (g, l , r) ∈ T (l) from a consistent abstract state (l, b) with respect to a vector of linear predicates Π = (π1 , . . , πk ) as (l , b0 ), where b0 ∈ T n and each component bi is given by: bi = t(b, Π, πi ◦ r). If bi = 1, then we know that the corresponding linear predicate πi ◦ r is true for all points x ∈ CΠ (b). This means that all states in CΠ (b) after the reset r will make πi true. Similarly, if bi = 0 we know that the linear predicate will always be false.

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