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CCIA
2005
Springer
16 years 9 days ago
Direct Policy Search Reinforcement Learning for Robot Control
— This paper proposes a high-level Reinforcement Learning (RL) control system for solving the action selection problem of an autonomous robot. Although the dominant approach, whe...
Andres El-Fakdi, Marc Carreras, Narcís Palo...
HYBRID
2009
Springer
15 years 10 months ago
Trajectory Based Verification Using Local Finite-Time Invariance
Abstract. In this paper we propose a trajectory based reachability analysis by using local finite-time invariance property. Trajectory based analysis are based on the execution tra...
A. Agung Julius, George J. Pappas
CDC
2010
IEEE
141views Control Systems» more  CDC 2010»
15 years 1 months ago
Adaptive reservations for feedback control
In this paper, we start from an assigned control law with known probability distributions of its execution time. Our goal is to identify an optimised scheduling policy that allows ...
Daniele Fontanelli, Luca Greco, Luigi Palopoli
190
Voted
CDC
2010
IEEE
107views Control Systems» more  CDC 2010»
15 years 1 months ago
Probabilistic mutual localization in multi-agent systems from anonymous position measures
Abstract-- Recent research on multi-agent systems has produced a plethora of decentralized controllers that implicitly assume various degrees of agent localization. However, many p...
Antonio Franchi, Giuseppe Oriolo, Paolo Stegagno
IJCNN
2007
IEEE
16 years 1 months ago
Toyota Prius HEV neurocontrol
A neural network controller for improved fuel efficiency of the Toyota Prius hybrid electric vehicle is proposed. A new method to detect and mitigate a battery fault is also pres...
Danil V. Prokhorov