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Titlebook: Hybrid Systems III; Verification and Con Rajeev Alur,Thomas A. Henzinger,Eduardo D. Sontag Conference proceedings 1996 Springer-Verlag Berl

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Conference proceedings 1996ctly refereed; they present the state of the art in this dynamic field with contributions by leading experts. Also available are the predecessor volumes published in the same series as LNCS 999 and LNCS 736.
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A game-theoretic approach to hybrid system design,sign is seen as a game between two players. One is the disturbances that enter the dynamics. The disturbances can encode the actions of other agents (in a multi-agent setting), the actions of high level controllers or unmodeled environmental disturbances. The second player is the control, which is t
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Verifying clocked transition systems,re some of the changes are inspired by the model of .. The new model leads to a simpler style of temporal specification and verification, requiring no extension of the temporal language. We present verification rules for proving safety properties (including waiting-for and time-bounded response prop
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Hybrid systems: Chattering approximation to relaxed controls,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.
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Verification of automated vehicle protection systems,s and verifies selected safety properties for automated Personal Rapid Transit (PRT) systems such as PRT 2000., a system currently being developed at Raytheon. Due to their safety critical nature, PRT 2000. and many other automated transit systems divide the control architecture into . and . subsyst
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Hybrid control in Sea Traffic Management Systems,ll propose a hierarchical hybrid control system for the control of traffic on sea, a Sea Traffic Management System (STMS). The motivation is to reduce delays and improve the efficiency and safety in increasingly overcrowded harbors, busy straits and narrow areas on sea. A controller unit on land pla
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Verification of hybrid systems: Monotonicity in the AHS control system,nding a boundary between safe and unsafe initial conditions. This task is significantly easier if we can guarantee that the severity of an accident is monotonic in the initial conditions. Simulation results are presented in which it is shown that this condition does not hold for the design of [1], a
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