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ESANN
2001
14 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
77
Voted
CDC
2008
IEEE
141views Control Systems» more  CDC 2008»
15 years 4 months ago
Stabilizing uncertain systems with dynamic quantization
—We consider state feedback stabilization of uncertain linear systems with quantization. The plant uncertainty is dealt with by the supervisory control framework, which employs s...
Linh Vu, Daniel Liberzon
ISER
1999
Springer
112views Robotics» more  ISER 1999»
15 years 1 months ago
Models for Automated Earthmoving
Abstract: We present a composite forward model of the mechanics of an excavator backhoe digging in soil. This model is used to predict the trajectories developed by a closed-loop f...
Howard Cannon, Sanjiv Singh
ICRA
2007
IEEE
131views Robotics» more  ICRA 2007»
15 years 4 months ago
Simulation Issues in Haptics
Abstract— In this paper, two problems related to the simulation of virtual environments for haptic systems are considered. The first problem is how to simulate, in discrete time...
Gianni Borghesan, Alessandro Macchelli, Claudio Me...
EMSOFT
2005
Springer
15 years 3 months ago
Distributed-code generation from hybrid systems models for time-delayed multirate systems
Hybrid systems are an appropriate formalism to model embedded systems as they capture the theme of continuous dynamics with discrete control. A simple extension, a network of comm...
Madhukar Anand, Sebastian Fischmeister, Jesung Kim...