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Strong γ-γ H∞ stabilization for networked control systems under denial of service attacks
- Source :
- Journal of the Franklin Institute. 356:2723-2741
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- This paper is concerned with the strong γc-γcl H∞ stabilization problem for networked control systems (NCSs) subject to denial of service (DoS) attacks, which are common attack behaviors that affect the packet transmission of measurement or control signals. The purpose of the problem under consideration is to design a stable dynamic output feedback (DOF) controller (strong stabilizing controller) with the prescribed H∞ performance norm bound γc to tolerate multiple packet dropouts caused by DoS attacks, such that, the closed-loop system is mean-square stable and captures the H∞ disturbance attenuation norm bound γcl. Based on the Lyapunov functional and the stochastic control approach, some sufficient conditions with the form of matrix inequalities for the existence of the desired stable DOF controller are established. Then, by an orthogonal complement space technique, the controller gain is parameterized. Next, an iterative linear matrix inequality (LMI) algorithm is developed to obtain the controller gain. Finally, the usefulness of the proposed method is indicated by a numerical simulation example.
- Subjects :
- Stochastic control
0209 industrial biotechnology
Computer Networks and Communications
Computer science
Network packet
Applied Mathematics
Linear matrix inequality
Orthogonal complement
02 engineering and technology
Matrix (mathematics)
020901 industrial engineering & automation
Control and Systems Engineering
Control theory
Norm (mathematics)
Control system
Signal Processing
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Subjects
Details
- ISSN :
- 00160032
- Volume :
- 356
- Database :
- OpenAIRE
- Journal :
- Journal of the Franklin Institute
- Accession number :
- edsair.doi...........bd3f4c85bcf7676ebe4c38e5de06d1d8
- Full Text :
- https://doi.org/10.1016/j.jfranklin.2018.12.019