Input-to-state stabilization of stochastic Markovian jump systems under communication constraints: genetic algorithm-based performance optimization
B Chen, Y Niu, H Liu - IEEE Transactions on Cybernetics, 2021 - ieeexplore.ieee.org
This work investigates the stabilization problem of uncertain stochastic Markovian jump
systems (MJSs) under communication constraints. To reduce the bandwidth usage, a …
systems (MJSs) under communication constraints. To reduce the bandwidth usage, a …
Adaptive sliding-mode tracking control of networked control systems with false data injection attacks
M Li, Y Chen, Y Zhang, Y Liu - Information Sciences, 2022 - Elsevier
In this paper, the problem of tracking control of networked control systems with false data
injection attacks is studied. A new terminal integral adaptive sliding mode control method is …
injection attacks is studied. A new terminal integral adaptive sliding mode control method is …
A novel fusion maximum correntropy Kalman/UFIR filter for state estimation with uncertain non-Gaussian noise statistics
Z Liu, M Zhang, X Song, X Yan - Measurement, 2023 - Elsevier
Despite the higher estimation accuracy of the maximum correntropy Kalman filter (MCKF)
algorithm in system with non-Gaussian noise, its estimation performance will decrease when …
algorithm in system with non-Gaussian noise, its estimation performance will decrease when …
Robust stability analysis and feedback control for networked control systems with additive uncertainties and signal communication delay via matrices transformation …
W Zheng, Z Zhang, F Sun, S Wen - Information Sciences, 2022 - Elsevier
Abstract The interval type-2 Takagi-Sugeno (TS) fuzzy dynamic output feedback and H-
infinity stability analysis is studied for a class of networked control systems with multiple time …
infinity stability analysis is studied for a class of networked control systems with multiple time …
Integrated stabilizing control for sampled-data NCSs with intermittent observation and multiple random transmission delays
In this article, we study sampled-data networked control systems (NCSs) that operate over
communication networks with multipath channels. Due to limited bandwidth power, the …
communication networks with multipath channels. Due to limited bandwidth power, the …
Stabilization of networked control systems subject to noisy sampling intervals and stochastic time-varying delays
Z Hu, H Song, H Ren, Y Su… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In practical engineering, the sampling intervals of networked control systems are often
subject to undesirable physical constraints, which results in noisy sampling intervals. In view …
subject to undesirable physical constraints, which results in noisy sampling intervals. In view …
Dynamic event-triggered model predictive control under channel fading and denial-of-service attacks
T Shi, P Shi, J Chambers - IEEE Transactions on Automation …, 2023 - ieeexplore.ieee.org
This article presents a model predictive control (MPC) design based on dynamic event-
triggered mechanism (DETM). In the sensor-to-controller channel, the networks are …
triggered mechanism (DETM). In the sensor-to-controller channel, the networks are …
Security data-driven iterative learning control for unknown nonlinear systems with hybrid attacks and fading measurements
To achieve the stabilization objective of a class of nonlinear systems with unknown
dynamics, this paper studies the security data-driven control problem under iterative …
dynamics, this paper studies the security data-driven control problem under iterative …
Controlled Output Feedback to Stabilize Networked Control System
BS Solanki - International Journal of Modern Developments in …, 2024 - journal.ijmdes.com
Maintaining the stability and transient performance of networked control system (NCS) is
prime requirement because introduction of uncertain parameter causes degraded system …
prime requirement because introduction of uncertain parameter causes degraded system …
Adaptive quadratic optimisation with application to kinematic control of redundant robot manipulators
The primal-dual gradient dynamics is a broadly investigated approach for handling
optimisation problems. In this paper, we provide an extension of such dynamics under the …
optimisation problems. In this paper, we provide an extension of such dynamics under the …