An adaptive event-triggered H_∞ control framework for nonlinear networked control systems with dual-channel quantization

Networked control system (NCS) is widely used in various fields, but the nonlinear of the controlled plants and the limited network bandwidth bring stability issues, which will affect the performance or even instability of the NCS. To address these aforementioned challenges, this paper proposes a novel nonlinear NCS framework, by considering network-induced delay, adaptive event-triggered mechanism, state quantization, control input quantization, and external disturbance based on T-S fuzzy model. Also, based on this framework, we derive an (Formula presented.) stability criterion for NCS using linear matrix inequality and propose a collaborative design method for event triggers and controllers. Finally, we verify the superiority and effectiveness of the method by giving two numerical examples.