Data-Driven Control for Discrete-Time Nonlinear Systems With Dual-Channel Dynamic Event-Triggered Mechanism
Guangjun Chen, Jiuxiang Dong
Abstract
The problem of data-driven control (DDC) for nonlinear systems with dual-channel event-triggering is investigated in this brief. First, the nonlinear system is converted into a dynamic linearized data model using the local dynamic linearization techniques. Then, a new dual-channel triggered control framework is designed based on the transformed linearized data model, and semi-independent dynamic event-triggered strategies are designed for the two channels of control input and measurement output. Different from the traditional single-channel event triggered, the main advantages of the proposed control strategy are that the input and output channels are semi-independently triggered, and it can accomplish the tracking control objectives by relying only on the input and output data of the system, and reducing the communication frequency of the input and output channels while ensuring stability. Finally, the effectiveness of the developed dual-channel event-triggered control strategy is verified by the application experiments.