Online Tradeoff Between Control Performance and Resource Occupation for Linear Systems Based on Hierarchical Self-Triggered Strategy

• 成果类型: Article
• 署名作者: Wang, Chenyang; Wan, Haiying; Luan, Xiaoli; Liu, Fei
• 署名单位: Jiangnan University
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2025.3602091
• 发表日期: 2026

摘要

In this article, a hierarchical self-triggered mechanism is designed to address real-time tradeoffs between control performance and resource utilization in linear systems, accompanied by detailed control and triggering strategies. Specifically, a hierarchical strategy is employed in this approach. The upper layer dynamically assigns trigger cost and control cost weights according to the real-time system state, while the lower layer calculates the optimal interexecution interval value and control input based on the given weights at the current time. To simultaneously account for control costs and triggering consumption within the self-triggered mechanism, an integrated objective function is introduced. This function is based on the weighted fusion of trigger utilization and control performance, initially utilized in the upper layer to compute the weight values for trigger and control using the influence function. Subsequently, in the lower layer, by minimizing the objective function with the updated weight coefficients, the upcoming triggering time can be forecasted, and the control input within the triggering interval can be determined. By integrating upper-level decision making with lower-level execution, this innovative self-triggered control mechanism effectively maintains a balance between control performance and triggering cost across various scenarios, expanding its applicability. Finally, a numerical simulation example shows the effectiveness of the method.