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» Robot Dynamics: Equations and Algorithms
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IJCNN
2000
IEEE
15 years 2 months ago
PD Control of Robot with RBF Networks Compensation
In this paper the popular PD controller of robot manipulator is modified. RBF neural networks are used to compensate the gravity and fi-iction. No exact knowledge of the robot dyn...
Wen Yu, José Antonio Heredia
HICSS
2002
IEEE
89views Biometrics» more  HICSS 2002»
15 years 2 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
EC
2007
145views ECommerce» more  EC 2007»
14 years 10 months ago
Covariant Genetic Dynamics
We present a covariant form for the dynamics of a canonical GA of arbitrary cardinality, showing how each genetic operator can be uniquely represented by a mathematical object - a...
Chryssomalis Chryssomalakos, Christopher R. Stephe...
ICRA
2010
IEEE
145views Robotics» more  ICRA 2010»
14 years 8 months ago
Reinforcement learning of motor skills in high dimensions: A path integral approach
— Reinforcement learning (RL) is one of the most general approaches to learning control. Its applicability to complex motor systems, however, has been largely impossible so far d...
Evangelos Theodorou, Jonas Buchli, Stefan Schaal
CCE
2006
14 years 10 months ago
Parameter estimation in continuous-time dynamic models using principal differential analysis
Principal differential analysis (PDA) is an alternative parameter estimation technique for differential equation models in which basis functions (e.g., B-splines) are fitted to dy...
A. A. Poyton, M. S. Varziri, K. B. McAuley, P. J. ...