Control for networked control systems with packet dropout and delay

Abstract

This paper mainly focuses on the optimal control and stabilization for networked control systems with packet dropout, measurement delay and input delay. The main contributions are twofold. Firstly, a necessary and sufficient condition for the finite horizon optimal control problem is obtained. Secondly, a necessary and sufficient condition for the stabilization problem is developed. Moreover, it has been proved that under standard assumptions the stabilizing condition depends merely on the eigenvalue of the system matrix and the probability of packet dropout which is irrelevant to measurement delay and input delay.

Adaptive Gaussian filters for nonlinear state estimation with one‐step randomly delayed measurements

“…Moreover, for many situations, INS‐GPS navigation where GPS signal is acquired at the receiver, target tracking using wireless sensor network (SN), phasor measurement unit (PMU) measurements in power system state estimations and Internet of Things (IoT) applications where the signals received by wifi, RF trans‐receiver the randomly delayed measurements are obtained which may have uncharacterized sensors. The research articles on the adaptive nonlinear filters reported so far do not address this issues of randomly delayed measurements which is common for applications with networked control system (NCS) [15] and wireless SNs [23]. This motivates the present workers to propose a class of adaptive nonlinear filters with randomly delayed measurements.…”

Decentralized dynamic event‐triggered control for networked control systems under unreliable communication network and actuator saturation

“…Due to the unreliable communication network between the sensors and the controller, the transmission signal of each channel is affected by fading channel, where the $$$ {i}_{th} $$$ channel fading phenomenon might happen according to the following model: $$$$ {\overline{y}}_i\left({k}_m^i\right)={\xi}_i\left({k}_m^i\right){y}_i\left({k}_m^i\right), $$$$ where $$$ {\xi}_i\left({k}_m^i\right) $$$ denotes a stochastic process to obey any probability density function on [0, 1] with a constant mathematical expectation $$$ \overline{\xi} $$$ and variance $$$ {\xi}^{\ast } $$$. When $$$ \xi \left({k}_m^i\right)\in \left\{0,1\right\} $$$, the fading model will reduce to the packet dropout case [42, 43].…”

Stabilization of uncertain networked control systems with actuator saturation and probabilistic cyberattacks

“…NCSs are spatially distributed systems in which the communication among sensors, actuators, and controllers occurs through a shared band-limited digital communication network [1,2]. Due to the opening-up property of shared networks, especially for the wireless networks, the measurement signals or control commands may be corrupted by adversaries [3,4], time delay [5][6][7], packet losses [8][9][10], and so on. Those undesired behaviors may destroy the stability of systems.…”