"1.#QNAN" in static optimization

Provide easy-to-use, extensible software for modeling, simulating, controlling, and analyzing the neuromusculoskeletal system.
POST REPLY
User avatar
Sangjun Lee
Posts: 30
Joined: Sun Apr 24, 2011 10:30 pm

"1.#QNAN" in static optimization

Post by Sangjun Lee » Wed Nov 16, 2011 12:41 am

Hi all,

I'm doing static optimization for gait trials,
but rarely, static optimization gives 1.#QNAN in a frame.
(e.g. in the messages window,
time = 2.74 Performance =0.379839 Constraint violation = 2.15358e-012
time = 2.75 Performance =0.370833 Constraint violation = 4.20757e-012
time = 2.76 Performance =0.0380169 Constraint violation = 1.#QNAN
time = 2.77 Performance =0.373046 Constraint violation = 1.0988e-012
time = 2.78 Performance =0.389789 Constraint violation = 6.96274e-012)

What is the meaning of 1.#QNAN at time = 2.76?
And is it OK if I fix this frame by averaging the result of time = 2.75 and 2.77?
(It seems that results of all other frames are OK)

Thanks,
Lee, Sang Jun

User avatar
Ayman Habib
Posts: 2248
Joined: Fri Apr 01, 2005 12:24 pm

Re: "1.#QNAN" in static optimization

Post by Ayman Habib » Thu Nov 17, 2011 12:32 pm

Hi,

StaticOptimization works internally by solving the InverseDynamics problem, then trying to solve the redundancy problem for actuators/muscles using the accelerations from the InverseDynamics solution as a constraint (these are the constraint violations reported). The NAN you see is a sign that the optimizer couldn't solve for muscle forces while enforcing the InverseDynamics solution. This likely happens when there's noise in the data or if there's sudden jump in accelerations in one frame. I'd look into the data further, solve InverseDynamics and see if there's something completely off for the problematic frame, then probably fix/interpolate the data if something looks wrong with it.

Since StaticOptimization is done on a frame by frame basis, there is no assumption about continuity of the solution.

Hope this helps,
-Ayman

POST REPLY