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ESANN
2001
13 years 11 months ago
A divide-and-conquer learning architecture for predicting unknown motion
Time varying environments or model selection problems lead to crucial dilemmas in identification and control science. In this paper, we propose a modular prediction scheme consisti...
Patrice Wira, Jean-Philippe Urban, Julien Gresser
ICRA
2002
IEEE
90views Robotics» more  ICRA 2002»
14 years 2 months ago
Distributed Goal Recognition Algorithms for Modular Robots
Modular robots are systems composed of a number of independent units that can be reconfigured to fit the task at hand. When the modules are computationally independent, they for...
Zack J. Butler, Robert Fitch, Daniela Rus, Yuhang ...
ICML
1998
IEEE
14 years 10 months ago
RL-TOPS: An Architecture for Modularity and Re-Use in Reinforcement Learning
This paper introduces the RL-TOPs architecture for robot learning, a hybrid system combining teleo-reactive planning and reinforcement learning techniques. The aim of this system ...
Malcolm R. K. Ryan, Mark D. Pendrith
RTAS
2008
IEEE
14 years 4 months ago
Modular Code Generation from Triggered and Timed Block Diagrams
In previous work we have shown how modular code can be automatically generated from a synchronous block diagram notation where all blocks fire at all times. Here, we extend this ...
Roberto Lublinerman, Stavros Tripakis
WCET
2010
13 years 7 months ago
METAMOC: Modular Execution Time Analysis using Model Checking
Safe and tight worst-case execution times (WCETs) are important when scheduling hard realtime systems. This paper presents METAMOC, a modular method, based on model checking and s...
Andreas E. Dalsgaard, Mads Chr. Olesen, Martin Tof...