公开(公告)号：US20240380389A1

公开(公告)日：2024-11-14

申请号：US18249500

申请日：2022-06-21

Applicant: SOUTHEAST UNIVERSITY

Inventor： Guanghui WEN ,  Han SHEN ,  Jun ZHOU ,  Linan WANG ,  Mengfei NIU

IPC: H03H21/00

Abstract: An adaptive robust estimation method and system for parameters of an unmanned surface vessel belongs to the field of automatic control. First, an augmented state estimation problem considering an external disturbance for the unmanned surface vessel is constructed; augmented state vectors include a state vector of the unmanned surface vessel, a parameter vector, and an unknown input vector; and then, depending on a real-time input vector and a measurement vector of a system, a designed adaptive robust unscented Kalman filtering method is employed to obtain model parameters of the unmanned surface vessel.

公开(公告)号：US20230208719A1

公开(公告)日：2023-06-29

申请号：US17797262

申请日：2022-03-23

Applicant: SOUTHEAST UNIVERSITY

Inventor： Guanghui WEN ,  Xuqiang LEI ,  Yuezu LV ,  Dan ZHAO ,  Jialing ZHOU

IPC: H04L41/12 ,  H04L41/14 ,  H04L9/40

CPC classification number: H04L41/12 ,  H04L41/145 ,  H04L63/1416

Abstract: The present disclosure discloses a distributed secure state reconstruction method based on a double-layer dynamic switching observer. The method includes the following steps: constructing a dynamics model of a sensing channel of a multi-agent system after the sensing channel is attacked according to the multi-agent system; building a double-layer observer for each multi-agent in combination with a specific multi-agent system model, constructing a proper observation communication topology, and designing a corresponding residual generator; analyzing dynamic information generating a residual threshold aiming at an observation model, checking a magnitude between each residual signal and the threshold, dynamically switching the communication topology between the observers according to the compared magnitude, and performing a new data communication interaction; and performing iterative updating to generate new observation data in combination with self observation data and received neighbor observation information, and taking whether the residual signal is greater than a current threshold or not as a standard for determining whether a corresponding communication channel is attacked or not. According to the present disclosure, all transmission channels subjected to malicious attacks can be correctly identified, and the real state of the system can be securely reconstructed.