• 310 Citations
  • 10 h-Index
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Fingerprint Dive into the research topics where Mohammad Poursina is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Divide-and-conquer Algorithm Mathematics
Multibody Systems Mathematics
Equations of motion Engineering & Materials Science
Biopolymers Engineering & Materials Science
Torque control Engineering & Materials Science
Multibody Dynamics Mathematics
Chaos theory Engineering & Materials Science
Chaos Expansion Mathematics

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Research Output 2006 2019

  • 310 Citations
  • 10 h-Index
  • 24 Conference contribution
  • 17 Article
4 Citations (Scopus)

Efficient embedding of empirically-derived constraints in the ODE formulation of multibody systems: Application to the human body musculoskeletal system

Ehsani, H., Poursina, M., Rostami, M., Mousavi, A., Parnianpour, M. & Khalaf, K., Mar 1 2019, In : Mechanism and Machine Theory. 133, p. 673-690 18 p.

Research output: Contribution to journalArticle

Musculoskeletal system
Equations of motion
Ordinary differential equations
Large scale systems
Electrostatic force

Integration of Divide-and-Conquer Algorithm with Fractional Order Controllers for the Efficient Dynamic Modeling and Control of Multibody Systems

Dabiri, A., Poursina, M. & Butcher, E., Aug 9 2018, 2018 Annual American Control Conference, ACC 2018. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-June. p. 4201-4206 6 p. 8431882

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Torque control
Computational efficiency
1 Citation (Scopus)
Optimization Problem
Kinetic energy
4 Citations (Scopus)

An optimal Stewart platform for lower extremity robotic rehabilitation

Dabiri, A., Sabet, S., Poursina, M., Armstrong, D. G. & Nikravesh, P. E., Jun 29 2017, 2017 American Control Conference, ACC 2017. Institute of Electrical and Electronics Engineers Inc., p. 5294-5299 6 p. 7963777

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Patient rehabilitation
Monte Carlo methods
Genetic algorithms
Linear actuators