Ergodic Control of Switching Diffusions
SIAM Journal on Control and Optimization
HSCC '08 Proceedings of the 11th international workshop on Hybrid Systems: Computation and Control
On the connections between PCTL and dynamic programming
Proceedings of the 13th ACM international conference on Hybrid systems: computation and control
Verification of discrete time stochastic hybrid systems: A stochastic reach-avoid decision problem
Automatica (Journal of IFAC)
Quantitative automata model checking of autonomous stochastic hybrid systems
Proceedings of the 14th international conference on Hybrid systems: computation and control
A stochastic reach-avoid problem with random obstacles
Proceedings of the 14th international conference on Hybrid systems: computation and control
Modeling and analysis of DNA replication
Automatica (Journal of IFAC)
Stabilizing Randomly Switched Systems
SIAM Journal on Control and Optimization
Reachability analysis for controlled discrete time stochastic hybrid systems
HSCC'06 Proceedings of the 9th international conference on Hybrid Systems: computation and control
Computational methods for reachability analysis of stochastic hybrid systems
HSCC'06 Proceedings of the 9th international conference on Hybrid Systems: computation and control
Optimal control of discrete hybrid stochastic automata
HSCC'05 Proceedings of the 8th international conference on Hybrid Systems: computation and control
Bisimulation for general stochastic hybrid systems
HSCC'05 Proceedings of the 8th international conference on Hybrid Systems: computation and control
Probabilistic invariance of mixed deterministic-stochastic dynamical systems
Proceedings of the 15th ACM international conference on Hybrid Systems: Computation and Control
Stochastic system controller synthesis for reachability specifications encoded by random sets
Automatica (Journal of IFAC)
Optimal control of stochastic hybrid system with jumps: A numerical approximation
Journal of Computational and Applied Mathematics
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We formulate a stochastic hybrid system model that allows us to capture a class of Markov processes known as piecewise deterministic Markov processes (PDMPs). For this class of stochastic processes we formulate a probabilistic reachability problem. Basic properties of PDMPs are reviewed and used to show that the reachability question is indeed well defined. Possible methods for computing the reach probability are then concerned.