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ICRA
2007
IEEE
189views Robotics» more  ICRA 2007»
14 years 3 months ago
Context Estimation and Learning Control through Latent Variable Extraction: From discrete to continuous contexts
— Recent advances in machine learning and adaptive motor control have enabled efficient techniques for online learning of stationary plant dynamics and it’s use for robust pre...
Georgios Petkos, Sethu Vijayakumar
CDC
2010
IEEE
147views Control Systems» more  CDC 2010»
13 years 4 months ago
Estimation of general nonlinear state-space systems
This paper presents a novel approach to the estimation of a general class of dynamic nonlinear system models. The main contribution is the use of a tool from mathematical statistic...
Brett Ninness, Adrian Wills, Thomas B. Schön
CDC
2008
IEEE
106views Control Systems» more  CDC 2008»
14 years 3 months ago
Less conservative robust control of constrained linear systems with bounded disturbances
— This paper develops a novel robust control method for linear systems subject to additive and bounded disturbances. The approach is based on constraint tightening method. The pr...
Reza Ghaemi, Jing Sun, Ilya V. Kolmanovsky
CVPR
2006
IEEE
14 years 11 months ago
Modeling Correspondences for Multi-Camera Tracking Using Nonlinear Manifold Learning and Target Dynamics
Multi-camera tracking systems often must maintain consistent identity labels of the targets across views to recover 3D trajectories and fully take advantage of the additional info...
Vlad I. Morariu, Octavia I. Camps
JDCTA
2010
155views more  JDCTA 2010»
13 years 3 months ago
Multi-factor predication of diesel engine by using artificial neural networks
The paper presents an algorithm which combining a neural network observer, it give more flexible and accurate control on the engine operation. In recent year, several researchers ...
Wenyong Xiao