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author:

Huang, Yanwei (Huang, Yanwei.) [1] | Liu, Zhenyi (Liu, Zhenyi.) [2] | Huang, Wenchao (Huang, Wenchao.) [3] | Chen, Shaobin (Chen, Shaobin.) [4]

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EI

Abstract:

In this paper, the nonlinear robust (Formula presented.) control is investigated for nonlinear course control systems of unmanned surface vessel (USV) with uncertain parameters and external disturbance. Firstly, we suppose that the part or all of the system parameters are unknown but within some ranges, due to the effect of different conditions such as the loading of ship. Then, the course system is modeled as a polynomial one with time invariant polytopic uncertainty. With the aid of parameter dependent Lyapunov function method and positive polynomial theory, the sufficient conditions are given for stability and stabilization with (Formula presented.) performance. These conditions are formulated in terms of parameter-dependent nonlinear matrix inequalities which can be verified by semidefinite programming relaxations based on the sum of squares technique. Finally, simulation results show the effectiveness of the approach. © The Author(s) 2020.

Keyword:

Lyapunov functions Stabilization Uncertainty analysis Unmanned surface vehicles

Community:

  • [ 1 ] [Huang, Yanwei]College of Electrical Engineering and Automation, Fuzhou University, China
  • [ 2 ] [Huang, Yanwei]Key Laboratory of Industrial Automation Control Technology and Information Processing (Fuzhou University), Fujian Province University, China
  • [ 3 ] [Liu, Zhenyi]College of Electrical Engineering and Automation, Fuzhou University, China
  • [ 4 ] [Huang, Wenchao]College of Electrical Engineering and Automation, Fuzhou University, China
  • [ 5 ] [Huang, Wenchao]Key Laboratory of Industrial Automation Control Technology and Information Processing (Fuzhou University), Fujian Province University, China
  • [ 6 ] [Chen, Shaobin]College of Electrical Engineering and Automation, Fuzhou University, China
  • [ 7 ] [Chen, Shaobin]Key Laboratory of Industrial Automation Control Technology and Information Processing (Fuzhou University), Fujian Province University, China

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Source :

Transactions of the Institute of Measurement and Control

ISSN: 0142-3312

Year: 2021

Issue: 2

Volume: 43

Page: 390-399

2 . 1 4 6

JCR@2021

1 . 7 0 0

JCR@2023

ESI HC Threshold:105

JCR Journal Grade:3

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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