Encryption-decryption-based state estimation with multirate measurements against eavesdroppers: a recursive minimum-variance approach

L Zou, Z Wang, B Shen, H Dong - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article is concerned with the secure state estimation problem for a networked system
with multirate measurements. The measurement data are transmitted to the estimator over a …

Moving horizon estimation with multirate measurements and correlated noises

L Zou, Z Wang, H Dong, QL Han - International Journal of …, 2020 - Wiley Online Library
This article is concerned with the moving horizon estimation (MHE) problem for a class of
linear discrete‐time systems subject to multirate measurements and correlated noises. The …

Data-driven multimodel predictive control for multirate sampled-data nonlinear systems

H Han, S Fu, H Sun, J Qiao - IEEE Transactions on Automation …, 2022 - ieeexplore.ieee.org
This paper is concerned with the asynchronous control problem of multi-rate sampled-data
nonlinear systems. To solve this problem, the data-driven multi-model predictive control …

A new alternating predictive observer approach for higher bandwidth control of dual-rate dynamic systems

L Shao, J Yang, S Li, Y Yi - … on Circuits and Systems II: Express …, 2023 - ieeexplore.ieee.org
Dual-rate dynamic systems consisting of a sensor with a relatively slow sampling rate and a
controller/actuator with a fast updating rate widely exist in control systems. The control …

Particle filter-based algorithm of simultaneous output and parameter estimation for output nonlinear systems under low measurement rate constraints

M Chen, R Lin, TY Ng, F Ding - Nonlinear Dynamics, 2022 - Springer
In applications of system identification where the inputs and outputs are scheduled at
different sampling rates, the traditional gradient-based iterative (GI) identification scheme …

Machine Learning-Based Estimation and Accommodation of Multiple Sensor Faults in Sampled-Data Process Systems

A Gajjar, NH El-Farra - 2024 American Control Conference …, 2024 - ieeexplore.ieee.org
This paper addresses the problem of estimation and accommodation of multiple
simultaneous sensor faults in nonlinear processes with discretely-sampled measurements …

Fault clustering by small‐entropy nonnegative matrix factorizations

Q Jia - The Canadian Journal of Chemical Engineering, 2022 - Wiley Online Library
Fault clustering attempts to partition a set of faulty samples into several clusters, allowing the
exploration of the underlying pattern of faults. Nonnegative matrix factorizations (NMFs) are …

Performance-based fault mitigation in sampled-data process systems with sensor faults and measurement delays

J Allen, NH El-Farra - IFAC-PapersOnLine, 2020 - Elsevier
The objective of this work is to provide systematic tools for the analysis and mitigation of
sensor faults in sampled-data processes with discretely-sampled and delayed state …

[图书][B] Performance-Based Fault-Tolerant Control of Sampled-Data Process Systems: Methods and Applications

J Allen - 2020 - search.proquest.com
The ability to handle faults and malfunctions is a critical component of successful plant
operation. Faults left unchecked in process critical system components, such as control …