Security-Based Distributionally Robust Optimization Self-Triggered SMPC for Constrained Cyber-Physical Systems Subject to Unknown Disturbances and Denial-of-Service Attacks

In this article, we propose a distributionally robust optimization-based self-triggered stochastic model predictive control (DRSMPC) algorithm for linear discrete systems that are subject to unbounded stochastic disturbances and Denial-of-Service (DoS) attacks. Assuming that only the first and secon...

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Vydané v:	IEEE internet of things journal Ročník 12; číslo 12; s. 21757 - 21769
Hlavní autori:	Chen, Yadong, Cheng, Peng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 15.06.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Chance constraint Constraints Control systems Cyber-physical systems Cybersecurity Denial of service attacks Discrete systems distributionally robust optimization Disturbances Event detection Internet of Things Optimization Prediction algorithms Predictive control Predictive models Quadratic forms Robustness (mathematics) Sampling self-triggered stochastic model predictive control (MPC) Sensors Stochastic models Stochastic processes Vectors
ISSN:	2327-4662, 2327-4662
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