Secure estimation subject to cyber stochastic attacks

@article{2020SecureES,
  title={Secure estimation subject to cyber stochastic attacks},
  author={},
  journal={Cloud Control Systems},
  year={2020}
}
  • Published 2020
  • Computer Science
  • Cloud Control Systems
View via Publisher

References

SHOWING 1-10 OF 27 REFERENCES
Security‐guaranteed filtering for discrete‐time stochastic delayed systems with randomly occurring sensor saturations and deception attacks
In this paper, the security‐guaranteed filtering problem is studied for a class of nonlinear stochastic discrete time‐delay systems with randomly occurring sensor saturations (ROSSs) and randomly…
New results on networked control systems with non-stationary packet dropouts
In this study, an improved observer-based stabilising controller has been designed for networked systems involving both random measurement and actuation delays and subject to non-stationary packet…
H∞ state estimation for discrete-time delayed neural networks with randomly occurring quantizations and missing measurements
Variance-constrained resilient H∞ filtering for time-varying nonlinear networked systems subject to quantization effects
A survey on security control and attack detection for industrial cyber-physical systems
H∞ Filtering for Systems with Delays and Time-varying Nonlinear Parameters
TLDR
This paper is concerned with the gain-scheduled H∞ filtering problem for a class of parameter-varying continuous systems with time delays and sufficient solvability conditions of this problem are obtained based on Lyapunov function approach.
Event-based H∞ filtering for sampled-data systems
Robust filtering with stochastic nonlinearities and multiple missing measurements
Stability of Kalman Filtering with Multiple Sensors Involving Lossy Communications
Abstract We study a networked state estimation problem for a linear system with multiple sensors, each of which transmits its measurements to a central estimator via a lossy communication network for…
Multi-dimensional state estimation in adversarial environment
  • Yilin Mo, R. Murray
  • Mathematics, Computer Science
    2015 34th Chinese Control Conference (CCC)
  • 2015
TLDR
If the system remains observable after removing arbitrary set of 2l sensor, it is proved that the optimal state estimation can be computed by solving a semidefinite programming problem.
...
...