Inverse Static Analysis of Massive Parallel Arrays of Three-State Actuators via Artificial Intelligence

Massive parallel arrays of discrete actuators are force regulated
robots that undergo continuous motions despite being
commanded through a large but finite number of states only. Real time
control of such systems requires fast and efficient methods for
solving their inverse static analysis, which is a challenging problem.
Artificial intelligence methods are investigated here for the on-line
computation of the inverse static analysis of a planar parallel array
featuring eight three-state force actuators and possessing one degree
of revolute motion.