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Author:

Zhang, X.-W. (Zhang, X.-W..) | Chen, K. (Chen, K..) | Wu, H.-N. (Wu, H.-N..) | Wang, J.-L. (Wang, J.-L..) | Wang, Z.-P. (Wang, Z.-P..)

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Abstract:

This paper studies the state observer design of a spatial two-dimensional (2-D) linear diffusion process described by a linear parabolic partial differential equation (PDE) under mobile sensors. Firstly, we analyze the well-posedness of the PDE system and give the structure form of the state observer with mobile sensors. Subsequently, according to the number of mobile sensors, the 2-D space domain is divided into multiple sub-domains, and the mobile sensors are guided by the projection operator method, which can guarantee that the mobile sensors can only move in their respective 2-D sub-domains. Then, in the light of Lyapunov theory, Poincaré-Wirtinger inequality and Barbalat lemma, we propose an observation-plus-guidance design method to ensure the asymptotic stability of the state estimation error system. In the designed mobile strategy, the actual guidance of mobile sensors is essentially a physical synthesis of two direction guidance laws, where two dimensional guidance laws are designed separately. Moreover, the existence condition of the observer is given by linear matrix inequalities. At last, a numerical example is provided to demonstrate the efficacy of the proposed design scheme.  © 2004-2012 IEEE.

Keyword:

asymptotic stability state estimation mobile sensor guidance 2-D linear parabolic PDE systems

Author Community:

  • [ 1 ] [Zhang X.-W.]Beijing University of Technology, School of Information Science and Technology, Beijing, 100124, China
  • [ 2 ] [Zhang X.-W.]Tiangong University, School of Control Science and Engineering, Tianjin, 300387, China
  • [ 3 ] [Chen K.]Tiangong University, School of Control Science and Engineering, Tianjin, 300387, China
  • [ 4 ] [Wu H.-N.]Beihang University, Science and Technology on Aircraft Control Laboratory, School of Automation Science and Electrical Engineering, Beijing, 100191, China
  • [ 5 ] [Wu H.-N.]Beihang University, Hangzhou International Innovation Institute, Hangzhou, 311115, China
  • [ 6 ] [Wang J.-L.]Tiangong University, Tianjin Key Laboratory of Autonomous Intelligence Technology and Systems, School of Computer Science and Technology, Tianjin, 300387, China
  • [ 7 ] [Wang Z.-P.]Beijing University of Technology, School of Information Science and Technology, Beijing Institute of Artificial Intelligence, Beijing, 100124, China

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Source :

IEEE Transactions on Automation Science and Engineering

ISSN: 1545-5955

Year: 2025

Volume: 22

Page: 12024-12032

5 . 6 0 0

JCR@2022

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ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 11

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