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ICARCV
2008
IEEE
170views Robotics» more  ICARCV 2008»
14 years 2 months ago
Mixed state estimation for a linear Gaussian Markov model
— We consider a discrete-time dynamical system with Boolean and continuous states, with the continuous state propagating linearly in the continuous and Boolean state variables, a...
Argyris Zymnis, Stephen P. Boyd, Dimitry M. Gorine...
STACS
2005
Springer
14 years 1 months ago
Recursive Markov Chains, Stochastic Grammars, and Monotone Systems of Nonlinear Equations
We introduce and study Recursive Markov Chains (RMCs), which extend ordinary finite state Markov chains with the ability to invoke other Markov chains in a potentially recursive m...
Kousha Etessami, Mihalis Yannakakis
CVPR
2007
IEEE
14 years 9 months ago
Discriminative Learning of Dynamical Systems for Motion Tracking
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
Minyoung Kim, Vladimir Pavlovic
CDC
2010
IEEE
131views Control Systems» more  CDC 2010»
12 years 11 months ago
State estimation of two-time scale multiple models with unmeasurable premise variables. Application to biological reactors
— This paper deals with the state estimation of nonlinear systems. The systems under study are characterized by two-time scale models. The state estimation is performed by design...
Anca Maria Nagy-Kiss, Benoît Marx, Gilles Mo...
AUTOMATICA
2008
102views more  AUTOMATICA 2008»
13 years 7 months ago
A set-membership state estimation algorithm based on DC programming
This paper presents a new approach to guaranteed state estimation for nonlinear discrete-time systems with a bounded description of noise and parameters. The sets of states that a...
T. Alamo, J. M. Bravo, M. J. Redondo, Eduardo F. C...