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JIRS
2008
100views more  JIRS 2008»
13 years 4 months ago
Model-based Predictive Control of Hybrid Systems: A Probabilistic Neural-network Approach to Real-time Control
Abstract This paper proposes an approach for reducing the computational complexity of a model-predictive-control strategy for discrete-time hybrid systems with discrete inputs only...
Bostjan Potocnik, Gasper Music, Igor Skrjanc, Boru...
VMCAI
2010
Springer
14 years 2 months ago
Advances in Probabilistic Model Checking
In the recent years, there have been a large amount of investigations on safety verification of uncertain continuous systems. In engineering and applied mathematics, this verificat...
Joost-Pieter Katoen
HYBRID
2005
Springer
13 years 10 months ago
Optimal Control of Discrete Hybrid Stochastic Automata
This paper focuses on hybrid systems whose discrete state transitions depend on both deterministic and stochastic events. For such systems, after introducing a suitable hybrid mod...
Alberto Bemporad, Stefano Di Cairano
HYBRID
2009
Springer
13 years 11 months ago
Finite Automata as Time-Inv Linear Systems Observability, Reachability and More
We show that regarding finite automata (FA) as discrete, time-invariant linear systems over semimodules, allows to: (1) express FA minimization and FA determinization as particula...
Radu Grosu
ECBS
2009
IEEE
113views Hardware» more  ECBS 2009»
13 years 11 months ago
Modeling and Analysis of Probabilistic Timed Systems
Probabilistic models are useful for analyzing systems which operate under the presence of uncertainty. In this paper, we present a technique for verifying safety and liveness prop...
Abhishek Dubey, Derek Riley, Sherif Abdelwahed, Te...