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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 24 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
14 years 11 days 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...