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Dead‐Zone Model Based Adaptive Backstepping Control for a Class of Uncertain Saturated Systems
Author(s) -
Mousavi Seyed Hossein,
Khayatian Alireza
Publication year - 2016
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.1198
Subject(s) - control theory (sociology) , dead zone , nonlinear system , backstepping , saturation (graph theory) , robustness (evolution) , adaptive control , autopilot , computer science , engineering , control engineering , mathematics , control (management) , artificial intelligence , geology , physics , biochemistry , oceanography , chemistry , quantum mechanics , combinatorics , gene
In this paper, a dead‐zone based model of saturation phenomena is proposed. This method is capable of modelling diverse kinds of saturation, including both hard‐limited and soft‐limited. Due to use of a linear parameter approach, the proposed model is consistent with the available adaptive control techniques in the literature. In addition, based on the proposed model, an adaptive controller is designed for a class of nonlinear saturated systems, where, the shape of the saturation phenomenon is assumed to be unknown. The effectiveness of the proposed method and its robustness against initial condition variation and reference signal is evaluated via simulated examples for both spring–mass–damper and ship steering autopilot systems.