Title :
A New Observer for Perspective Vision Systems Under Noisy Measurements
Author :
Grave, Ileana ; Yu Tang
Author_Institution :
Fac. of Eng., Nat. Autonomous Univ. of Mexico, Mexico City, Mexico
Abstract :
A simple design of observers for the range identification problem in perspective vision systems is given based on nonlinear contraction theory and synchronization. Exponential convergence to the object coordinates is achieved. In the presence of significant measurement noise, the performance is improved by synchronization among a group of observers.
Keywords :
nonlinear control systems; observers; synchronisation; exponential convergence; noisy measurements; nonlinear contraction theory; observers; perspective vision systems; range identification problem; synchronization; Convergence; Jacobian matrices; Machine vision; Noise; Noise measurement; Observers; Synchronization; Contraction theory; perspective systems; synchronization;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2014.2332692
