Robust Stabilization for a Class of Uncertain Nonlinear Systems via a Novel Hybrid Control Applicable to Mechanical Systems
Author(s) -
Sun Yeong-Jeu
Publication year - 2014
Publication title -
advances in mechanical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.318
H-Index - 40
ISSN - 1687-8132
DOI - 10.1155/2014/952342
Subject(s) - control theory (sociology) , nonlinear system , convergence (economics) , controller (irrigation) , chaotic , computer science , robust control , rate of convergence , vibration , mechanical system , class (philosophy) , control engineering , control (management) , engineering , physics , computer network , channel (broadcasting) , quantum mechanics , artificial intelligence , agronomy , economics , biology , economic growth
An important consideration in control system design is that of model uncertainty. Besides, systems with mixed uncertainties, chaotic vibrations, and input nonlinearities are not easily stabilized and traditional control schemes for linear systems are not always effective. Therefore, in this paper, we will solve two problems, first searching a novel hybrid control methodology to achieve the practical stabilization for uncertain systems with mixed uncertainties and second calculating the guaranteed exponential convergence rate with the convergence radius. The applicability of the main results is demonstrated by a tracking controller design for a class of uncertain nonlinear mass-damper-spring systems with mixed uncertainties, chaotic vibrations, and input nonlinearities.
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