Gene

Algorithm

Engineering

Multi-agent system

Applied mathematics

Computer security

Systems engineering

Complement (music)

Biochemistry

Computer science

Distributed computing

Estimation

Correctness

Observability

Complementation

Mathematics

Artificial intelligence

Chemistry

Class (philosophy)

State (computer science)

Phenotype

IEEE Transactions on Automatic Control

This paper investigates the secure state estimation problem of multiagent systems with misbehaving agents. Compared with the existing works which only consider malicious behaviors generated elaborately, a class of faulty behaviors generated randomly is also taken into account. By assuming that faulty behaviors cannot be altered by the adversaries, the notion of orthogonal complement matrix is introduced to characterize the state observability of the multiagent systems with both faulty and malicious agents. It is shown that more misbehaving agents can be tolerated by distinguishing faulty agents from malicious ones. Then, for single agent, two algorithms are provided to estimate the state based on its own value and the measurements obtained from its neighbors. Finally, two simulations are provided to illustrate the correctness and effectiveness of the proposed conditions and methods.

Secure State Estimation for Multiagent Systems With Faulty and Malicious Agents