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IJCNN
2006
IEEE
15 years 5 months ago
Using Neural Network to Enhance Assimilating Sea Surface Height Data into an Ocean Model
—A generic approach that allows extracting functional nonlinear dependencies and mappings between atmospheric or ocean state variables in a relatively simple form is presented. T...
Vladimir M. Krasnopolsky, Carlos J. Lozano, Deanna...
CDC
2010
IEEE
139views Control Systems» more  CDC 2010»
14 years 6 months ago
An adaptive-covariance-rank algorithm for the unscented Kalman filter
Abstract-- The Unscented Kalman Filter (UKF) is a nonlinear estimator that is particularly well suited for complex nonlinear systems. In the UKF, the error covariance is estimated ...
Lauren E. Padilla, Clarence W. Rowley
CDC
2010
IEEE
170views Control Systems» more  CDC 2010»
14 years 6 months ago
Motion planning with hybrid dynamics and temporal goals
In this paper, we consider the problem of motion planning for mobile robots with nonlinear hybrid dynamics, and high-level temporal goals. We use a multi-layered synergistic framew...
Amit Bhatia, Lydia E. Kavraki, Moshe Y. Vardi
SRDS
2006
IEEE
15 years 5 months ago
Call Availability Prediction in a Telecommunication System: A Data Driven Empirical Approach
Availability prediction in a telecommunication system plays a crucial role in its management, either by alerting the operator to potential failures or by proactively initiating pr...
Günther A. Hoffmann, Miroslaw Malek
AUTOMATICA
2008
93views more  AUTOMATICA 2008»
14 years 11 months ago
An LFT approach to parameter estimation
In this paper we consider a unified framework for parameter estimation problems which arise in a system identification context. In this framework, the parameters to be estimated a...
Kenneth Hsu, Tyrone L. Vincent, Greg Wolodkin, Sun...