Distributed filtering based on Cauchy-kernel-based maximum correntropy subject to randomly occurring cyber-attacks
This paper is concerned with the distributed filtering issue under the Cauchy-kernel-based
maximum correntropy for large-scale systems subject to randomly occurring cyber-attacks in …
maximum correntropy for large-scale systems subject to randomly occurring cyber-attacks in …
A survey on model-based distributed control and filtering for industrial cyber-physical systems
Industrial cyber-physical systems (CPSs) are large-scale, geographically dispersed, and life-
critical systems, in which lots of sensors and actuators are embedded and networked …
critical systems, in which lots of sensors and actuators are embedded and networked …
Privacy-preserving distributed economic dispatch of microgrids: A dynamic quantization-based consensus scheme with homomorphic encryption
This paper is concerned with the privacy-preserving distributed economic dispatch problem
(ED) of microgrids. A homomorphically encrypted consensus algorithm is developed in the …
(ED) of microgrids. A homomorphically encrypted consensus algorithm is developed in the …
A Review of State Estimation Techniques for Grid-Connected PMSG-Based Wind Turbine Systems
The power system network grows yearly with a large number of nonlinear power generation
systems. In this scenario, accurate modeling, control, and monitoring of interface systems …
systems. In this scenario, accurate modeling, control, and monitoring of interface systems …
Recursive filtering of distributed cyber-physical systems with attack detection
This article is concerned with the distributed recursive filtering of cyber-physical systems
consisting of a set of spatially distributed subsystems. Due to the vulnerability of …
consisting of a set of spatially distributed subsystems. Due to the vulnerability of …
Robust cubature Kalman filter for dynamic state estimation of synchronous machines under unknown measurement noise statistics
The Kalman-type filtering techniques including cubature Kalman filter (CKF) does not work
well in non-Gaussian environments, especially in the presence of outliers. To solve this …
well in non-Gaussian environments, especially in the presence of outliers. To solve this …
Dynamic event-triggered state estimation for continuous-time polynomial nonlinear systems with external disturbances
Y Niu, L Sheng, M Gao, D Zhou - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article is concerned with the problem of state estimation for continuous-time polynomial
nonlinear (CTPN) systems with unknown but bounded disturbances. The Taylor polynomial …
nonlinear (CTPN) systems with unknown but bounded disturbances. The Taylor polynomial …
Secure distributed dynamic state estimation in wide-area smart grids
Smart grid is a large complex network with a myriad of vulnerabilities, usually operated in
adversarial settings and regulated based on estimated system states. In this study, we …
adversarial settings and regulated based on estimated system states. In this study, we …
State estimation-based distributed energy resource optimization for distribution voltage regulation in telemetry-sparse environments using a real-time digital twin
Real-time state estimation using a digital twin can overcome the lack of in-field
measurements inside an electric feeder to optimize grid services provided by distributed …
measurements inside an electric feeder to optimize grid services provided by distributed …
Distributed resilient state estimation for cyber-physical systems against bit errors: A zonotopic set-membership approach
This paper addresses the distributed resilient state estimation issue for a class of large-scale
cyber-physical systems (CPSs) against bit errors. Owing to the reliability of the binary data, a …
cyber-physical systems (CPSs) against bit errors. Owing to the reliability of the binary data, a …