Optimization-based motion prediction of mechanical systems: sensitivity analysis

By Yujiang Xiang, Jasbir S. Arora, Karim Abdel-Malek. 2009

65 citations recorded by the source corpus.

Subfields: Automotive Engineering, Control and Systems Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/3061bb1c95e0c9617901096ab387fb1c535d280d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. Karim Abdel-Malek
2. Yujiang Xiang
3. Jasbir S. Arora
4. Jingzhou Yang

In Control and Systems Engineering

1. T. Marler
2. Salam Rahmatalla
3. R. Bhatt
4. Karim Abdel-Malek
5. Yujiang Xiang
6. Jasbir S. Arora
7. Jingzhou Yang

In Mechanical Engineering

1. T. Marler
2. Salam Rahmatalla
3. R. Bhatt
4. Karim Abdel-Malek
5. Yujiang Xiang
6. Jasbir S. Arora
7. Jingzhou Yang

Citations in the corpus

• Predictive dynamics: an optimization-based novel approach for human motion simulation (2010, methodology): “Xiang et al. (2009a) carried out sensitivity analyses for dynamic motion prediction of a mechanical system by using the recursive Lagrangian formulation.”
• Human lifting simulation using a multi-objective optimization approach (2010, methodology): “Based on forward recursive kinematics, the backward recursion for the dynamic analysis is accomplished by defining a 4 × 4 transformation matrix Di and 4 × 1 transformation vectors Ei , Fi , and Gi as follows: given the mass and inertia properties of each link, the external force fk = [fxfyfz0] and ”