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» Computing Reachable States for Nonlinear Biological Models
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ICRA
2010
IEEE
126views Robotics» more  ICRA 2010»
13 years 5 months ago
Simulation-based LQR-trees with input and state constraints
— We present an algorithm that probabilistically covers a bounded region of the state space of a nonlinear system with a sparse tree of feedback stabilized trajectories leading t...
Philipp Reist, Russ Tedrake
CONCUR
2001
Springer
13 years 12 months ago
Symbolic Computation of Maximal Probabilistic Reachability
We study the maximal reachability probability problem for infinite-state systems featuring both nondeterministic and probabilistic choice. The problem involves the computation of ...
Marta Z. Kwiatkowska, Gethin Norman, Jeremy Sprost...
IPL
2007
125views more  IPL 2007»
13 years 7 months ago
State explosion in almost-sure probabilistic reachability
We show that the problem of reaching a state set with probability 1 in probabilisticnondeterministic systems operating in parallel is EXPTIME-complete. We then show that this prob...
François Laroussinie, Jeremy Sproston
NECO
2002
104views more  NECO 2002»
13 years 7 months ago
An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
Harri Valpola, Juha Karhunen