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TSMC
2008
113views more  TSMC 2008»
13 years 4 months ago
Computational Methods for Verification of Stochastic Hybrid Systems
Stochastic hybrid system (SHS) models can be used to analyze and design complex embedded systems that operate in the presence of uncertainty and variability. Verification of reacha...
Xenofon D. Koutsoukos, Derek Riley
CDC
2010
IEEE
141views Control Systems» more  CDC 2010»
12 years 11 months ago
Hybrid moment computation algorithm for biochemical reaction networks
Moment computation is essential to the analysis of stochastic kinetic models of biochemical reaction networks. It is often the case that the moment evolution, usually the first and...
Yun-Bo Zhao, Jongrae Kim, João Pedro Hespan...
HYBRID
2000
Springer
13 years 8 months ago
Verification of Hybrid Systems with Linear Differential Inclusions Using Ellipsoidal Approximations
A general verification algorithm is described. It is then shown how ellipsoidal methods developed by A. B. Kurzhanski and P. Varaiya can be adapted to the algorithm. New numerical ...
Oleg Botchkarev, Stavros Tripakis
HYBRID
2004
Springer
13 years 10 months ago
Inference Methods for Autonomous Stochastic Linear Hybrid Systems
We present a parameter inference algorithm for autonomous stochastic linear hybrid systems, which computes a maximum-likelihood model, given only a set of continuous output data of...
Hamsa Balakrishnan, Inseok Hwang, Jung Soon Jang, ...
HYBRID
2007
Springer
13 years 11 months ago
Computational Approaches to Reachability Analysis of Stochastic Hybrid Systems
This work investigates some of the computational issues involved in the solution of probabilistic reachability problems for discretetime, controlled stochastic hybrid systems. It i...
Alessandro Abate, Saurabh Amin, Maria Prandini, Jo...