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A robustness study of a finite‐time/exponential tracking continuous control scheme for constrained‐input mechanical systems: Analysis and experiments
Author(s) -
ZamoraGómez Griselda I.,
ZavalaRío Arturo,
VázquezRamírez Emilio,
Reyes Fernando,
Santibáñez Víctor
Publication year - 2020
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.4972
Subject(s) - control theory (sociology) , perturbation (astronomy) , tracking error , bounded function , mathematics , exponential function , robustness (evolution) , computer science , control (management) , mathematical analysis , physics , biochemistry , chemistry , quantum mechanics , artificial intelligence , gene
Summary The closed‐loop analysis of a recently proposed continuous scheme for the finite‐time or exponential tracking control of constrained‐input mechanical systems is reformulated under the consideration of an input‐matching bounded perturbation term. This is motivated by the poor number of works devoted to support the so‐cited argument claiming that continuous finite‐time controllers are more robust than asymptotical (infinite‐time) ones under uncertainties and the limitations of their results. We achieve to analytically prove that, for a perturbation term with sufficiently small bound, the considered tracking continuous control scheme leads the closed‐loop error variable trajectories to get into an origin‐centered ball whose radius becomes smaller in the finite‐time convergence case, entailing smaller posttransient variations than in the exponential case. Moreover, this is shown to be achieved for any initial condition, avoiding to restrain any of the parameters involved in the control design, and under the suitable consideration of the nonautonomous nature of the closed loop. The study is further corroborated through experimental tests on a multi‐degree‐of‐freedom robotic manipulator, which do not only confirm the analytical result but also explore the scope or limitations of its conclusions under adverse perturbation conditions.

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