Journal
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
Volume 66, Issue 6, Pages 2875-2882Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAC.2020.3010769
Keywords
State estimation; Optimization; Resilience; Switches; Reliability; Sensors; Distributed optimization; distributed secure state estimation; distributed system; gradient descent algorithm; malicious agents
Funding
- Funds of National Science of China [61621004, U1908213]
- National Postdoctoral Program for Innovative Talents [BX20200078]
- Research Fund of State Key Laboratory of Synthetical Automation for Process Industries [2018ZCX03]
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This article investigates the distributed secure state estimation problem in distributed systems, proposes a DSGD algorithm, and illustrates its effectiveness through a numerical example.
This article investigates the distributed secure state estimation problem of distributed systems where a set of agents estimates the state cooperatively in the presence of malicious agents. First, a sufficient condition for the solvability of the distributed secure state estimation problem is proposed. Second, based on the obtained condition, a distributed switched gradient descent (DSGD) algorithm is designed to solve the considered problem which is transformed into a distributed optimization problem. With the help of a candidate-removal mechanism, the proposed DSGD algorithm successfully generates reliable state estimates despite malicious agents. Finally, the effectiveness of the proposed algorithm is illustrated by a numerical example.
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