کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4944444 1437990 2017 25 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Robust adaptive hierarchical insensitive tracking control of a class of leader-follower agents
ترجمه فارسی عنوان
کنترل ردیابی غیر حساس سلسله مراتبی تطبیقی ​​یک کلاس از عوامل رهبر-دنبال کننده
کلمات کلیدی
عوامل پیرو رهبر، ردیابی غیر حساس سلسله مراتبی، کنترل انعطاف پذیر، شبکه های مختلط، عدم اطمینان،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی
In this paper, the hierarchical insensitive tracking control problem is addressed for a class of uncertain leader-follower agents with disturbed networks and controller multiplicative coefficient variations. With a uniform coupling strength, the agents are supported to be coupled in a multi-layer network structure. Based on the structure, an adaptive compensation control strategy is constructed to ensure that the follower agents track the leader agent. Depending on the control strategy, the relationship among bounds of tracking errors, sizes of network disturbances and uncertainties of agents and controllers, as well as coupling strength is explicitly explored. On the basis of Lyapunov stability theory, it is shown that bounded tracking of the resulting adaptive networked agents can be reached, and tracking errors can be reduced as small as desired. The effectiveness of the proposed design is illustrated via a decoupled model of F-18 aircraft.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Sciences - Volumes 406–407, September 2017, Pages 234-247
نویسندگان
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