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论文类型：期刊论文

发表时间：2020-07-01

发表刊物：IEEE TRANSACTIONS ON AUTOMATIC CONTROL

收录刊物：SCIE

卷号：65

期号：7

页面范围：3184-3190

ISSN号：0018-9286

关键字：Asymptotic stability; Learning systems; Stability analysis; Perturbation methods; Actuators; Tuning; Extremum seeking control (ESC); input dead-zone; singular perturbation; uniform practical asymptotic stability

摘要：This article develops a novel extremum seeking control (ESC) scheme to address an input dead-zone. The new ESC scheme includes two parts: one is the learning mechanism that can rapidly compensate the effect of the dead-zone; the other is the classic ESC scheme, which can regulate the output of the system to an arbitrarily small neighborhood of its extremum. The proposed scheme has a two-time-scale structure, and the boundary layer system is uniformly, practically, and asymptotically stable. By applying results that exist in the literature, semi-global practical asymptotic stability of the new ESC scheme is established. Finally, numerical examples are presented to illustrate the effectiveness of the proposed scheme.