A synthetic model for neuromuscular control

Shankar Srinivasan, Dinesh Mitald, William Ebomoyi, Syed Haque

Research output: Contribution to journalArticlepeer-review


The movements of a limb, whether of a robot or an animal, follow the same physical laws of motion and can be characterised by mathematical equations derived from Newtonian and Lagrangian mechanics. In robotics these equations are utilised to derive the control torques from the desired task-level trajectories. But as the number of degrees of freedom increases, the computations that ensue are very large and time consuming and there is a veritable bottleneck for computing the inverse dynamics in real-time. Taking into consideration the number of muscles that there are in an animal body, it is quite evident that the inverse dynamics problem as viewed from the robotics point of view would be intractable and is probably not existent. In this paper, we report the use of 'equilibrium-point hypothesis' as a plausible solution for the inverse dynamics in neuromuscular control.

Original languageEnglish (US)
Pages (from-to)253-261
Number of pages9
JournalInternational Journal of Medical Engineering and Informatics
Issue number3
StatePublished - Aug 2012

All Science Journal Classification (ASJC) codes

  • Medicine (miscellaneous)
  • Biomaterials
  • Biomedical Engineering
  • Health Informatics


  • Applied Newtonian science
  • Biomechanics
  • Equilibrium point hypothesis
  • Kinesiology
  • Mathematical models
  • Motor control
  • Neural models
  • Robot science
  • Synthetic models


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