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 …

A survey on model-based distributed control and filtering for industrial cyber-physical systems

D Ding, QL Han, Z Wang, X Ge - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
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 …

Event-based state estimation with variance-based triggering

S Trimpe, R D'Andrea - IEEE Transactions on Automatic …, 2014 - ieeexplore.ieee.org
An event-based state estimation scenario is considered where multiple distributed sensors
sporadically transmit observations of a linear process to a time-varying Kalman filter via a …

Deep reinforcement learning for wireless sensor scheduling in cyber–physical systems

AS Leong, A Ramaswamy, DE Quevedo, H Karl, L Shi - Automatica, 2020 - Elsevier
In many cyber–physical systems, we encounter the problem of remote state estimation of
geographically distributed and remote physical processes. This paper studies the …

Sensor scheduling in variance based event triggered estimation with packet drops

AS Leong, S Dey, DE Quevedo - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
This paper considers a remote state estimation problem with multiple sensors observing a
dynamical process, where sensors transmit local state estimates over an independent and …

Optimal sensor scheduling for multiple linear dynamical systems

D Han, J Wu, H Zhang, L Shi - Automatica, 2017 - Elsevier
We consider the design of an optimal collision-free sensor schedule for a number of sensors
which monitor different linear dynamical systems correspondingly. At each time, only one of …

Planning periodic persistent monitoring trajectories for sensing robots in gaussian random fields

X Lan, M Schwager - 2013 IEEE international conference on …, 2013 - ieeexplore.ieee.org
This paper considers the problem of planning a trajectory for a sensing robot to best
estimate a time-changing Gaussian Random Field in its environment. The robot uses a …

Infinite horizon optimal transmission power control for remote state estimation over fading channels

X Ren, J Wu, KH Johansson, G Shi… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
This paper studies the joint design over an infinite horizon of the transmission power
controller and remote estimator for state estimation over fading channels. A sensor observes …

Scheduling two Gauss–Markov systems: An optimal solution for remote state estimation under bandwidth constraint

L Shi, H Zhang - IEEE Transactions on Signal Processing, 2012 - ieeexplore.ieee.org
We consider scheduling two Gauss-Markov systems. Two sensors, each measuring the state
of one of the two systems, compute and report their local state estimates to a central remote …

An optimal control approach to the multi-agent persistent monitoring problem in two-dimensional spaces

X Lin, CG Cassandras - IEEE Transactions on Automatic …, 2014 - ieeexplore.ieee.org
We address the persistent monitoring problem in two-dimensional mission spaces where the
objective is to control the trajectories of multiple cooperating agents to minimize an …