Titlebook: Hybrid Systems: Computation and Control; 10th International W Alberto Bemporad,Antonio Bicchi,Giorgio Buttazzo Conference proceedings 2007

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Computational Approaches to Reachability Analysis of Stochastic Hybrid Systemsstochastic hybrid systems. It is first argued that, under rather weak continuity assumptions on the stochastic kernels that characterize the dynamics of the system, the numerical solution of a discretized version of the probabilistic reachability problem is guaranteed to converge to the optimal one,

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Groupoids in Control Systems and the Reachability Problem for a Class of Quantized Control Systems wgroupoids, which, in our opinion deserves further investigation. On the other hand, using recently-developed algebraic tools, we show that for a control system whose state space is a semisimple Lie group (like .(3)), it is possible to reach a dense subset of the state space using just two properly c

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Complexity Reduction for the Design of Interacting Controllersintegration almost impossible. We address the complexity issues posed by the analysis and design of interacting controllers introducing approximation techniques that are shown to be effective on a substantial industrial test case: the control system for common-rail fuel-injection developed by Magnet

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: A Reachability Algorithm for Multi-affine Systems with Applications to Biological Systems collaborators [1,2,3], we exploited the convexity of multi-affine functions and the fact that the vector field in modes with rectangular invariants is uniquely determined by its values at the rectangle vertices. In this paper, we explicitly calculate conical overapproximations of the reachable set

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