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JIRS
2008
100views more  JIRS 2008»
15 years 6 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...
LMCS
2006
98views more  LMCS 2006»
15 years 6 months ago
Approximate reasoning for real-time probabilistic processes
We develop a pseudo-metric analogue of bisimulation for generalized semi-Markov processes. The kernel of this pseudo-metric corresponds to bisimulation; thus we have extended bisi...
Vineet Gupta, Radha Jagadeesan, Prakash Panangaden
ICRA
2010
IEEE
97views Robotics» more  ICRA 2010»
15 years 5 months ago
Probabilistic motion planning of balloons in strong, uncertain wind fields
—This paper introduces a new algorithm for probabilistic motion planning in arbitrary, uncertain vector fields, with emphasis on high-level planning for Montgolfier´e balloons...
Michael T. Wolf, Lars Blackmore, Yoshiaki Kuwata, ...
IPL
2010
112views more  IPL 2010»
15 years 5 months ago
The cost of probabilistic agreement in oblivious robot networks
In this paper, we look at the time complexity of two agreement problems in networks of oblivious mobile robots, namely, at the gathering and scattering problems. Given a set of ro...
Julien Clement, Xavier Défago, Maria Gradin...
TGC
2010
Springer
15 years 4 months ago
Uniform Labeled Transition Systems for Nondeterministic, Probabilistic, and Stochastic Processes
Rate transition systems (RTS) are a special kind of transition systems introduced for defining the stochastic behavior of processes and for associating continuous-time Markov chain...
Marco Bernardo, Rocco De Nicola, Michele Loreti