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» Approximate Learning of Dynamic Models
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COLT
2003
Springer
15 years 11 months ago
Maximum Margin Algorithms with Boolean Kernels
Recent work has introduced Boolean kernels with which one can learn linear threshold functions over a feature space containing all conjunctions of length up to k (for any 1 ≤ k ...
Roni Khardon, Rocco A. Servedio
ICONIP
2010
15 years 4 months ago
Analytical Approach to Noise Effects on Synchronization in a System of Coupled Excitable Elements
Abstract. We report relationships between the effects of noise and applied constant currents on the behavior of a system of excitable elements. The analytical approach based on the...
Keiji Okumura, Masatoshi Shiino
ICML
2000
IEEE
16 years 7 months ago
On-line Learning for Humanoid Robot Systems
Humanoid robots are high-dimensional movement systems for which analytical system identification and control methods are insufficient due to unknown nonlinearities in the system s...
Gaurav Tevatia, Jörg Conradt, Sethu Vijayakum...
HYBRID
2000
Springer
15 years 9 months ago
A Hybrid Feedback Regulator Approach to Control an Automotive Suspension System
Abstract. In this paper, we demonstrate a novel hybrid control synthesis approach using an automotive suspension system. Discrete abstractions are used to approximate the continuou...
Xenofon D. Koutsoukos, Panos J. Antsaklis
ICNC
2005
Springer
15 years 11 months ago
Novel Leaning Feed-Forward Controller for Accurate Robot Trajectory Tracking
This paper presents a novel learning feed-forward controller design approach for accurate robotics trajectory tracking. Based on the joint nonlinear dynamics characteristics, a mod...
D. Bi, G. L. Wang, Jun Zhang, Q. Xue