Ultimately Bounded L-infinity Output Feedback Control of Event-Triggered Nonlinear Systems Under Cyber Attacks

This paper studies output-based L-infinity security control of nonlinear system under the event-triggered mechanism (ETM) and random deception attacks. Firstly, a general ETM is proposed, whose triggering threshold includes both of a plant-dependent term and a plant-independent constant. Unlike some existing ETMs having high triggering rates during steady stage or transient stage, the proposed ETM can keep a low triggering rate during the whole system-running time. By integrating effects of the ETM, Bernoulli-distribution deception attacks, and network-induced delays in a unified framework, a closed-loop T-S fuzzy system model is built. Then, ultimately bounded stability criteria are obtained with guaranteed L-infinity performance. Next, sufficient conditions for designing dynamic output feedback fuzzy controller are derived. Finally, an example illustrates effectiveness of the proposed methods.

Automated summary

This paper studies the output-based L-infinity security control of a nonlinear system under the event-triggered mechanism (ETM) and random deception attacks. A general ETM is proposed to achieve a low triggering rate throughout the system-running time. By integrating the ETM, Bernoulli-distribution deception attacks, and network-induced delays, a closed-loop T-S fuzzy system model is built. Ultimately bounded stability criteria with guaranteed L-infinity performance are obtained, and sufficient conditions for designing dynamic output feedback fuzzy controller are derived. An example is provided to illustrate the effectiveness of the proposed methods.