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TSMC
2010
12 years 11 months ago
Uncertainty Evaluation Through Mapping Identification in Intensive Dynamic Simulations
We study how the dependence of a simulation output on an uncertain parameter can be determined, when simulations are computationally expensive and so can only be run for very few p...
Yan Wan, Sandip Roy, Bernard C. Lesieutre
AUTOMATICA
2010
122views more  AUTOMATICA 2010»
13 years 5 months ago
Bayesian system identification via Markov chain Monte Carlo techniques
The work here explores new numerical methods for supporting a Bayesian approach to parameter estimation of dynamic systems. This is primarily motivated by the goal of providing ac...
Brett Ninness, Soren J. Henriksen
ICRA
2000
IEEE
126views Robotics» more  ICRA 2000»
13 years 8 months ago
Identification and Decoupling Control of Flexure Jointed Hexapods
By exploiting properties of the joint space mass-inertia matrix of flexure jointed hexapods, a new decoupling method is proposed. The new decoupling method, through a static input...
Yixin Chen, John E. McInroy
ICRA
2005
IEEE
130views Robotics» more  ICRA 2005»
13 years 10 months ago
Effective Constrained Dynamic Simulation Using Implicit Constraint Enforcement
- Stable and effective enforcement of hard constraints is one of the crucial components in controlling physics-based dynamic simulation systems. The conventional explicit Baumgarte...
Min Hong, Min-Hyung Choi, Sunhwa Jung, Samuel W. J...
ICRA
2007
IEEE
160views Robotics» more  ICRA 2007»
13 years 11 months ago
OOPS for Motion Planning: An Online, Open-source, Programming System
— The success of sampling-based motion planners has resulted in a plethora of methods for improving planning components, such as sampling and connection strategies, local planner...
Erion Plaku, Kostas E. Bekris, Lydia E. Kavraki