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ICANN
2010
Springer
13 years 9 months ago
Reinforcement Learning Based Neural Controllers for Dynamic Processes without Exploration
Abstract. In this paper we present a Reinforcement Learning (RL) approach with the capability to train neural adaptive controllers for complex control problems without expensive on...
Frank-Florian Steege, André Hartmann, Erik ...
DATE
2010
IEEE
124views Hardware» more  DATE 2010»
14 years 1 months ago
Control network generator for latency insensitive designs
—Creating latency insensitive or asynchronous designs from clocked designs has potential benefits of increased modularity and robustness to variations. Several transformations h...
Eliyah Kilada, Kenneth S. Stevens
CDC
2008
IEEE
142views Control Systems» more  CDC 2008»
14 years 2 months ago
A LPV approach to control and real-time scheduling codesign: Application to a robot-arm control
— This paper deals with real-time control under computational constraints. A robust control approach to control/real-time scheduling co-design is proposed using the H∞ framewor...
Olivier Sename, Daniel Simon, Mongi Ben Gaid
CDC
2009
IEEE
122views Control Systems» more  CDC 2009»
14 years 23 days ago
Optimal mistuning for improved stability of vehicular platoons
— We consider a decentralized bidirectional control of a platoon of N identical vehicles moving in a straight line. Such problems are known to suffer from poor stability margin a...
Prabir Barooah, Prashant G. Mehta
ICASSP
2011
IEEE
12 years 11 months ago
Active noise control in headsets: A new approach for broadband feedback ANC
In this paper a novel approach for broadband feedback active noise control (ANC) is presented which is based on the combination of classical non-adaptive feedback and adaptive fee...
Thomas Schumacher, Hauke Krüger, Marco Jeub, ...