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Output Tracking via Adaptive Backstepping Higher Order Integral Sliding Mode for Uncertain Nonlinear Systems
Author(s) -
Mahmood Pervaiz,
Qudrat Khan,
Aamer Iqbal Bhatti,
Shahzad A. Malik
Publication year - 2014
Publication title -
discrete dynamics in nature and society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.264
H-Index - 39
eISSN - 1607-887X
pISSN - 1026-0226
DOI - 10.1155/2014/619010
Subject(s) - backstepping , robustness (evolution) , control theory (sociology) , nonlinear system , parametric statistics , integral sliding mode , computer science , sliding mode control , strict feedback form , adaptive control , mathematics , control (management) , artificial intelligence , biochemistry , chemistry , physics , statistics , quantum mechanics , gene
The authors propose a new tracking control design strategy for uncertain non-linear systems which are convertible to Semi-Strict FeedbackForm (SSFF). The system in SSFF is first converted into new variables via existing adaptive backstepping control techniques. The control law is obtainedby combining adaptive backstepping procedure and higher order integral sliding mode. The component of control law designed via backstepping is continuouswhich shows robustness against parametric uncertainties where as the discontinuous control component provides robustness against unmodeled dynamics and external disturbances. Since, this strategy relies on an integral manifold of the adaptively developed variables, therefore, the reaching phase is eliminated in this approach, which is an advantage in term of robustness. Furthermore, the parameters update law correctly provides the estimation of parameters whichis again results in enhanced robustness of the strategy. The stability of proposed method is analysed theoretically and validated through a numerical example

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