State estimation for linear time‐delay distributed parameter systems with mobile sensors

Author:

Wang Qian1ORCID,Lu Zhiyi1,Liu Zhijie23ORCID,Wang Zi‐Peng45

Affiliation:

1. School of Science Tianjin University of Commerce Tianjin China

2. School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing China

3. Institute of Artificial Intelligence University of Science and Technology Beijing Beijing China

4. Faculty of Information Technology Beijing University of Technology Beijing China

5. Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing University of Technology Beijing China

Abstract

SummaryThis study deals with the state observer design for a class of linear time‐delay distributed parameter systems (DPSs) modeled by a parabolic partial differential equation (PDE) via mobile sensors. Initially, under the assumption that the spatial domain is decomposed into multiple subdomains according to the number of mobile sensors, the estimation scheme including a state observer and the guidance of mobile sensors is proposed for the linear time‐delay DPS. Then, by using Lyapunov direct technique and the projection modification algorithm, a design of the state observer plus mobile sensor guidance laws is developed, such that the resulting state estimation error system is exponentially stable and the mobile sensor guidance can improve the transient response of state estimation error. Finally, numerical simulations are presented to show the effectiveness of the proposed method.

Funder

China Postdoctoral Science Foundation

National Natural Science Foundation of China

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Signal Processing,Control and Systems Engineering

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