Evolving granular control with high-gain observers for feedback linearizable nonlinear systems
Author:
Funder
CNPQ
CEFET-MG
Publisher
Springer Science and Business Media LLC
Subject
Control and Optimization,Computer Science Applications,Modeling and Simulation,Control and Systems Engineering
Link
https://link.springer.com/content/pdf/10.1007/s12530-020-09349-y.pdf
Reference53 articles.
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2. Banerjee S, Chakrabarty A, Maity S, Chatterjee A (2011) Feedback linearizing indirect adaptive fuzzy control with foraging based on-line plant model estimation. Appl Soft Comput 11(4):3441–3450. https://doi.org/10.1016/j.asoc.2011.01.016
3. Beltran-Carbajal F, Favela-Contreras A, Valderrabano-Gonzalez A, Rosas-Caro JC (2014) Output feedback control for robust tracking of position trajectories for DC electric motors. Electr Power Syst Res 107:183–189. https://doi.org/10.1016/j.epsr.2013.09.020
4. Bento AV, Oliveira LS, Rubio Scola I, Oliveira AC (2018) State estimator application in DC motors of robot mobile. In: XXII Congresso Brasileio de Automática, pp 1–6. https://doi.org/10.20906/CPS/CBA2018-0374
5. Besançon G (ed) (2007) Nonlinear observers and applications. Lecture notes in control and information sciences, vol 363. Springer, Berlin, Heidelberg
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