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CDC
2009
IEEE
134views Control Systems» more  CDC 2009»
14 years 5 days ago
Event-based control using quadratic approximate value functions
Abstract— In this paper we consider several problems involving control with limited actuation and sampling rates. Event-based control has emerged as an attractive approach for ad...
Randy Cogill
SSPR
2000
Springer
13 years 11 months ago
A New Approximation Method of the Quadratic Discriminant Function
Abstract. For many statistical pattern recognition methods, distributions of sample vectors are assumed to be normal, and the quadratic discriminant function derived from the proba...
Shinichiro Omachi, Fang Sun, Hirotomo Aso
ECML
2004
Springer
14 years 26 days ago
Experiments in Value Function Approximation with Sparse Support Vector Regression
Abstract. We present first experiments using Support Vector Regression as function approximator for an on-line, sarsa-like reinforcement learner. To overcome the batch nature of S...
Tobias Jung, Thomas Uthmann
ICRA
2007
IEEE
155views Robotics» more  ICRA 2007»
14 years 1 months ago
Value Function Approximation on Non-Linear Manifolds for Robot Motor Control
— The least squares approach works efficiently in value function approximation, given appropriate basis functions. Because of its smoothness, the Gaussian kernel is a popular an...
Masashi Sugiyama, Hirotaka Hachiya, Christopher To...
CDC
2010
IEEE
119views Control Systems» more  CDC 2010»
13 years 2 months ago
Event-triggered output feedback control of finite horizon discrete-time multi-dimensional linear processes
Event-triggered control systems are systems in which the control signal is recomputed when the plant's output signal leaves a triggering-set. There has been recent interest in...
Lichun Li, Michael Lemmon