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» Load estimation and control using learned dynamics models
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IROS
2007
IEEE
95views Robotics» more  IROS 2007»
13 years 11 months ago
Load estimation and control using learned dynamics models
— Classic adaptive control methods for handling varying loads rely on an analytically derived model of the robot’s dynamics. However, in many situations, it is not feasible or ...
Georgios Petkos, Sethu Vijayakumar
ICRA
2007
IEEE
189views Robotics» more  ICRA 2007»
13 years 11 months ago
Context Estimation and Learning Control through Latent Variable Extraction: From discrete to continuous contexts
— Recent advances in machine learning and adaptive motor control have enabled efficient techniques for online learning of stationary plant dynamics and it’s use for robust pre...
Georgios Petkos, Sethu Vijayakumar
ANSS
2000
IEEE
13 years 9 months ago
Flow Control and Dynamic Load Balancing in Time Warp
We present, in this paper, an algorithm which integrates flow control and dynamic load balancing in Time Warp. The algorithm is intended for use in a distributed memory environme...
Myongsu Choe, Carl Tropper
HICSS
2002
IEEE
89views Biometrics» more  HICSS 2002»
13 years 9 months ago
Nash Strategies for Load Serving Entities in Dynamic Energy Multi-markets
In this paper the problem of developing bidding strategies for the participants of dynamic energy-multi markets is studied. Attention is given to strategic bidding of load serving...
Jose B. Cruz Jr., Ashkan Kian
HYBRID
2000
Springer
13 years 8 months ago
A Dynamic Bayesian Network Approach to Tracking Using Learned Switching Dynamic Models
Abstract. Switching linear dynamic systems (SLDS) attempt to describe a complex nonlinear dynamic system with a succession of linear models indexed by a switching variable. Unfortu...
Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham