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Adaptive and Robust Stabilization of Feedforward Nonlinear Systems Driven by Symmetric and Non‐symmetric Dead‐zone Inputs
Author(s) -
Ibrir S.,
Su C. Y.
Publication year - 2014
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.878
Subject(s) - dead zone , control theory (sociology) , nonlinear system , feed forward , compensation (psychology) , adaptive control , invariant manifold , invariant (physics) , computer science , mathematics , control (management) , engineering , control engineering , artificial intelligence , physics , mathematical analysis , oceanography , psychology , quantum mechanics , psychoanalysis , geology , mathematical physics
The stabilization of feedforward nonlinear systems subject to hard‐input nonlinearities is a challenging problem due to the presence of input uncertainties. This paper deals with adaptive control of a class of feedforward nonlinear systems driven by unknown dead‐zone inputs. The unknown dead‐zone input nonlinearity is assumed to be either symmetric or non‐symmetric. The control design is based on the combination of the invariant‐manifold stabilization technique with the classical adaptive and robust compensation methods. Simulation results showed that the presence of the dead‐zone inputs in the system dynamics can be handled even for arbitrary large dead‐zone parameters.