z-logo
open-access-imgOpen Access
New Kalman Filter Residue-Based Identification and Soft Sensor Design for Accurate Trajectory Tracking with a Fault-tolerant Robot
Author(s) -
R. Doraiswami,
Lahouari Cheded,
Eduardo Jair Tito Mamani,
Pamela Giselle Villarroe,
Paul Gerardo Cori Mamani,
Paulo Roberto Loma Marconi,
Claudio Cesar Carlos Olivares,
Justo Franz Choque Choque,
Layde Aydee Cruz Torrico
Publication year - 2021
Publication title -
proceedings of the international conference of control, dynamic systems, and robotics
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.126
H-Index - 5
ISSN - 2368-5433
DOI - 10.11159/cdsr21.306
Subject(s) - kalman filter , tracking (education) , extended kalman filter , trajectory , computer science , control theory (sociology) , identification (biology) , robot , fault tolerance , computer vision , artificial intelligence , control engineering , engineering , physics , psychology , pedagogy , distributed computing , botany , control (management) , astronomy , biology

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here