arrow
Return

Tracking controller design for random nonlinear benchmark system

delete2017-01-01
delete36
PRE
AI
吴昭景 cover
吴昭景 (Zhaojing Wu)
王诗桐 cover
王诗桐 (Shitong Wang)
崔明月 cover
崔明月 (Mingyue Cui)
DOI:10.1016/j.jfranklin.2016.10.015delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
This paper considers a benchmark system consisting of a rolling ball and a moving car in the oscillating surroundings. By using the Lagrange law, the dynamic model without disturbance is first constructed, then according to the relative motion principle, random oscillation of surroundings is transformed into the random noises in the constructed Lagrange equation. The special structure of the quasi-lower triangle of Lagrange equation motivates us to pay more attention to the vectorial backstepping technique. By selecting an appropriate Lyapunov-like function, a tracking controller with tunable parameters is designed such that all signals of the closed-loop system are bounded and track error can be made arbitrarily small. (C) 2016 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
Keywords:
OUTPUT-FEEDBACK TRACKING
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

J
Journal of the Franklin Institute-Engineering and Applied Mathematics
IF:
3.7
Papers:
6.3K
Citations:
1.5W

Organization

Y
Yantai University
Scholars:
8.4K
Papers: 5.7K
Citations: 9.9K