Tracking Control of Interval Type‐2 Fuzzy Systems With Improved Adaptive Event‐Triggered Mechanisms and Deception Attacks Under Privacy Protection

ABSTRACT This article studied the tracking control problem of the reference model under privacy protection for nonlinear NCSs with double‐ended event‐triggered mechanisms by interval type‐2 fuzzy systems under the influence of deception attacks. Improved adaptive event‐triggered mechanisms and three general dynamic quantizers are adopted to further reduce the network burden. To ensure the security of the system, a secure tracking controller is designed under the premise that the system can guarantee the mean square asymptotic stability and the tracking error reaches the preset conditions. Finally, the rationality of the theory proposed in this article are verified by the examples of spring damping system.