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» Convex modifications to an iterative learning control law
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AUTOMATICA
2004
81views more  AUTOMATICA 2004»
13 years 5 months ago
Convex modifications to an iterative learning control law
Jari J. Hätönen, David H. Owens
JDCTA
2010
272views more  JDCTA 2010»
13 years 2 days ago
Optimal Control of Nonlinear Systems Using the Homotopy Perturbation Method: Infinite Horizon Case
This paper presents a new method for solving a class of infinite horizon nonlinear optimal control problems. In this method, first the original optimal control problem is transfor...
Amin Jajarmi, Hamidreza Ramezanpour, Arman Sargolz...
ICML
2009
IEEE
14 years 6 months ago
Binary action search for learning continuous-action control policies
Reinforcement Learning methods for controlling stochastic processes typically assume a small and discrete action space. While continuous action spaces are quite common in real-wor...
Jason Pazis, Michail G. Lagoudakis
FBIT
2007
IEEE
13 years 11 months ago
Learning to Drive a Real Car in 20 Minutes
The paper describes our first experiments on Reinforcement Learning to steer a real robot car. The applied method, Neural Fitted Q Iteration (NFQ) is purely data-driven based on ...
Martin Riedmiller, Michael Montemerlo, Hendrik Dah...
AUTOMATICA
2004
70views more  AUTOMATICA 2004»
13 years 5 months ago
Output feedback control of discrete linear repetitive processes
Repetitive processes are a distinct class of 2D systems (i.e. information propagation in two independent directions) of both systems theoretic and applications interest. They cann...
Bartlomiej Sulikowski, Krzysztof Galkowski, Eric R...