Sensitivity Invariants of Control Systems

Rosenwasser, Efim N.; Yusupov, Rafael

doi:10.1201/9781420049749-6

Cited by 1 publication

(6 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Analysis of the works [21,22] suggests that this problem can be solved using the methods of the sensitivity theory.…”

Section: The Suggested Approach and Used Methodsmentioning

confidence: 99%

“…The methods considered in Reference [21,22] allow us to conduct a sensitivity analysis of the filtering algorithms for harmful information indicators in the digital network content of CPS based on finding the sensitivity equations and functions for the algorithms in question.…”

Section: The Suggested Approach and Used Methodsmentioning

confidence: 99%

“…It is the basis to formulate the problem and it is considered when defining expressions for the sensitivity coefficients (functions). The admissibility of using such sensitivity coefficients (functions) for estimating the parameters of complex systems was proved in Reference [21,22].…”

Section: Related Workmentioning

confidence: 99%

“…Analysis of relevant works [1][2][3][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22] shows that the direct application of the results obtained in most of these works is impossible for the task of a reliable assessment of indicators of harmful information. The reason is that the actual analysis of the features of harmful information in the CPS digital network content occurs under conditions of a priori uncertainty.…”

Section: Related Workmentioning

confidence: 99%

“…Moreover, Equation (12) and Equation (19) are the initial conditions for the implementation of the sensitivity analysis algorithm. Analysis of the works [21,22,25] shows that dynamic assessment of harmful information indicators, which changes are nonlinear, is advisable to carry out using an extended linearized Kalman filter. Linearization in the extended linearized Kalman filter of nonlinear processes of changing the state of indicators determines the use of filtering equations similar to Equations (8)- (12), describing the Kalman filtering process [6,7].…”

Section: Of 15mentioning

confidence: 99%

See 4 more Smart Citations

Analysis of the Sensitivity of Algorithms for Assessing the Harmful Information Indicators in the Interests of Cyber-Physical Security

Kotenko

Parashchuk

2019

Electronics

View full text Add to dashboard Cite

The secure functioning of cyber-physical systems depends on the presence and amount of harmful (unwanted and malicious) information in its digital network content. The functioning of cyber-physical systems is carried out in non-stationary conditions and in conditions of continuous exposures. This leads to the uncertainty of indicators (parameters, features) of harmful information that must be assessed in the analytical processing of digital network content. The paper proposes an approach to analyse the sensitivity of algorithms for estimating the status of indicators of harmful information observed in noise. This approach allows one to consider possible errors in the estimation accuracy. It gives the possibility to identify the allowable range of changes in the parameters of the digital network content of cyber-physical systems, within which the requirements for the assessment reliability are met. This, in turn, makes a significant contribution to the effectiveness of harmful information detection and counteraction against it. Accounting for a priori uncertainty of the indicators under various influences is advisable to carry out on the basis of expressions for the sensitivity coefficients (functions) described in the paper.

show abstract

“…Analysis of the works [21,22] suggests that this problem can be solved using the methods of the sensitivity theory.…”

Section: The Suggested Approach and Used Methodsmentioning

confidence: 99%

Section: The Suggested Approach and Used Methodsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%