Synchronization and state estimation of nonlinear physical systems under communication constraints

2016 ◽  
Author(s):  
Boris Andrievsky
Keyword(s):  
State Estimation ◽  
Communication Constraints ◽  
Physical Systems

scholarly journals On the Relation between Topological Entropy and Restoration Entropy

Entropy ◽  
2018 ◽  
Vol 21 (1) ◽  
pp. 7 ◽  
Author(s):  
Christoph Kawan
Keyword(s):  
Dynamical Systems ◽  
State Estimation ◽  
Topological Entropy ◽  
Robust Estimation ◽  
Data Transmission ◽  
Communication Constraints ◽  
Dynamical Entropy

In the context of state estimation under communication constraints, several notions of dynamical entropy play a fundamental role, among them: topological entropy and restoration entropy. In this paper, we present a theorem that demonstrates that for most dynamical systems, restoration entropy strictly exceeds topological entropy. This implies that robust estimation policies in general require a higher rate of data transmission than non-robust ones. The proof of our theorem is quite short, but uses sophisticated tools from the theory of smooth dynamical systems.

scholarly journals Joint attack detection and secure state estimation of cyber‐physical systems

2019 ◽  
Vol 30 (11) ◽  
pp. 4303-4330 ◽  
Author(s):  
Nicola Forti ◽  
Giorgio Battistelli ◽  
Luigi Chisci ◽  
Bruno Sinopoli
Keyword(s):  
State Estimation ◽  
Cyber Physical Systems ◽  
Attack Detection ◽  
Physical Systems

scholarly journals State Estimation and Event-Triggered Control for Cyber-Physical Systems under Malicious Attack

2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Yongzhen Guo ◽  
Baijing Han ◽  
Weiping Wang ◽  
Manman Yuan
Keyword(s):  
State Estimation ◽  
Finite Time ◽  
Cyber Physical Systems ◽  
The State ◽  
State Information ◽  
Physical Systems ◽  
Malicious Attack ◽  
Event Triggered

This paper is concerned with the security state estimation and event-triggered control of cyber-physical systems (CPSs) under malicious attack. Aiming at this problem, a finite-time observer is designed to estimate the state of the system successfully. Then, according to the state information, the event-triggered controller is designed through the event-triggered communication. It is proved that the system is uniformly and finally bounded. Finally, the effectiveness of the proposed method is verified by a simulation example.

State Estimation Over a Lossy Network in Spatially Distributed Cyber-Physical Systems

2014 ◽  
Vol 62 (15) ◽  
pp. 3911-3923 ◽  
Author(s):  
Siddharth Deshmukh ◽  
Balasubramaniam Natarajan ◽  
Anil Pahwa
Keyword(s):  
State Estimation ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Spatially Distributed
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