کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
751974 895368 2012 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Iterative learning approaches to design finite-time consensus protocols for multi-agent systems
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی کنترل و سیستم های مهندسی
پیش نمایش صفحه اول مقاله
Iterative learning approaches to design finite-time consensus protocols for multi-agent systems
چکیده انگلیسی

In this paper, the finite-time output consensus problem of multi-agent systems is considered by using the iterative learning control (ILC) approach. Two classes of distributed protocols are constructed from the two-dimensional system point of view (with time step and iteration number as independent variables), and are termed as iterative learning protocols. If learning gains are chosen appropriately, then all agents in a directed graph can be enabled to achieve finite-time consensus with the iterative learning protocols. Moreover, all agents in a directed graph can be guaranteed to reach finite-time consensus at any desired terminal output if the iterative learning protocols are improved by introducing the desired terminal output to some (not necessarily all) of the agents. Simulation results are finally presented to illustrate the performance and effectiveness of our iterative learning protocols.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Systems & Control Letters - Volume 61, Issue 1, January 2012, Pages 187–194
نویسندگان
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