TY - GEN
T1 - Flat filtering
T2 - 2016 American Control Conference, ACC 2016
AU - Sira-Ramirez, H.
AU - Luviano-Juarez, A.
AU - Ramirez-Neria, M.
AU - Garrido-Moctezuma, R.
N1 - Publisher Copyright:
© 2016 American Automatic Control Council (AACC).
PY - 2016/7/28
Y1 - 2016/7/28
N2 - Flat filtering constitutes a reinterpretation of Generalized Proportional Integral Control (GPIC) in the form of robust Classical Compensation Networks (CCN). Roughly speaking, any linear controllable system can be output regulated with the help of a well tuned filter and a suitable cascaded linear combinations of the internal states of such filter. Here, it is shown that such classical tool is also capable of efficiently handling control tasks on perturbed nonlinear systems, including unknown nonlinearities and un-modeled dynamics.
AB - Flat filtering constitutes a reinterpretation of Generalized Proportional Integral Control (GPIC) in the form of robust Classical Compensation Networks (CCN). Roughly speaking, any linear controllable system can be output regulated with the help of a well tuned filter and a suitable cascaded linear combinations of the internal states of such filter. Here, it is shown that such classical tool is also capable of efficiently handling control tasks on perturbed nonlinear systems, including unknown nonlinearities and un-modeled dynamics.
KW - Active Disturbance Rejection
KW - Differentially Flat Systems
KW - GPI Control
UR - http://www.scopus.com/inward/record.url?scp=84992045189&partnerID=8YFLogxK
U2 - 10.1109/ACC.2016.7525512
DO - 10.1109/ACC.2016.7525512
M3 - Contribución a la conferencia
AN - SCOPUS:84992045189
T3 - Proceedings of the American Control Conference
SP - 3844
EP - 3849
BT - 2016 American Control Conference, ACC 2016
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 6 July 2016 through 8 July 2016
ER -