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Control and communication scheduling co-design for networked control systems: A survey
Z Lu, G Guo - International Journal of Systems Science, 2023 - Taylor & Francis
Communication and control are two intensively coupled aspects in a networked control
system (NCS), the design of one may affect the quality or performance of the other. The co …
system (NCS), the design of one may affect the quality or performance of the other. The co …
Recent advances on filtering and control for cyber-physical systems under security and resource constraints
In this paper, some recent advances on the filtering and control problems are reviewed for
cyber-physical systems under security and resource constraints. Three types of cyber …
cyber-physical systems under security and resource constraints. Three types of cyber …
False data injection attacks with complete stealthiness in cyber–physical systems: A self-generated approach
TY Zhang, D Ye - Automatica, 2020 - Elsevier
In this paper, we consider the security problem of dynamic state estimations in cyber–
physical systems (CPSs) when the sensors are compromised by false data injection (FDI) …
physical systems (CPSs) when the sensors are compromised by false data injection (FDI) …
Stochastic event-triggered sensor schedule for remote state estimation
We propose an open-loop and a closed-loop stochastic event-triggered sensor schedule for
remote state estimation. Both schedules overcome the essential difficulties of existing …
remote state estimation. Both schedules overcome the essential difficulties of existing …
Sensor selection for estimation with correlated measurement noise
In this paper, we consider the problem of sensor selection for parameter estimation with
correlated measurement noise. We seek optimal sensor activations by formulating an …
correlated measurement noise. We seek optimal sensor activations by formulating an …
Sensor selection for Kalman filtering of linear dynamical systems: Complexity, limitations and greedy algorithms
We consider the problem of selecting an optimal set of sensors to estimate the states of
linear dynamical systems. Specifically, the goal is to choose (at design-time) a subset of …
linear dynamical systems. Specifically, the goal is to choose (at design-time) a subset of …
Distributed secure state estimation for linear systems against malicious agents through sorting and filtering
This paper investigates the distributed secure state estimation problem for the cyber–
physical systems monitored by a multi-agent network where partial agents are malicious …
physical systems monitored by a multi-agent network where partial agents are malicious …
Submodularity and greedy algorithms in sensor scheduling for linear dynamical systems
ST Jawaid, SL Smith - Automatica, 2015 - Elsevier
This paper focuses on sensor scheduling for state estimation, which consists of a network of
noisy sensors and a discrete-time linear system with process noise. As an energy constraint …
noisy sensors and a discrete-time linear system with process noise. As an energy constraint …
An event-triggered approach to state estimation with multiple point-and set-valued measurements
In this work, we consider state estimation based on the information from multiple sensors
that provide their measurement updates according to separate event-triggering conditions …
that provide their measurement updates according to separate event-triggering conditions …
Sensor selection based on generalized information gain for target tracking in large sensor networks
In this paper, sensor selection problems for target tracking in large sensor networks with
linear equality or inequality constraints are considered. First, we derive an equivalent …
linear equality or inequality constraints are considered. First, we derive an equivalent …