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» Dynamic range estimation for nonlinear systems
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NIPS
1998
14 years 10 months ago
Learning Nonlinear Dynamical Systems Using an EM Algorithm
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
Zoubin Ghahramani, Sam T. Roweis
ICPR
2008
IEEE
15 years 3 months ago
Adaptive local contrast enhancement for the visualization of high dynamic range images
In this paper, we present a new tone mapping algorithm for the display of high dynamic range images, inspired by adaptive process of the human visual system. The proposed algorith...
Jian Zhang, Sei-ichiro Kamata
ICRA
2005
IEEE
122views Robotics» more  ICRA 2005»
15 years 3 months ago
Shape, Motion, and Parameter Estimation of Large Flexible Space Structures using Range Images
– Future space missions are expected to use robotic systems to assemble, inspect, and maintain large space structures in orbit. To carry out these tasks, robots need to know the ...
Matthew D. Lichter, Steven Dubowsky
CDC
2008
IEEE
144views Control Systems» more  CDC 2008»
15 years 3 months ago
State estimation of nonlinear systems with Markov state reset
— We present a novel observer design for a class of single-output nonlinear systems with Markov jumps. The Markov jump process interferes with a deterministic nonlinear dynamics ...
Stefano Battilotti
CDC
2009
IEEE
177views Control Systems» more  CDC 2009»
14 years 10 months ago
Exponential stability region estimates for the State-Dependent Riccati Equation controllers
We investigate the nonlinear exponential stability of the State-Dependent Riccati Equation (SDRE)-based control. The SDRE technique is a nonlinear control method, which has emerged...
Insu Chang, Soon-Jo Chung