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Dual-stage periodic event-triggered output-feedback control for linear systems.
Zhen Ruan1, Wu-Hua Chen1, Xiaomei Lu1
1School of Mathematics and Information Science, Guangxi University, Nanning, Guangxi 530004, PR China.
ISA Transactions
|March 27, 2018
Summary
A new dual-stage periodic event-triggered control (DSPETC) framework unifies existing control methods. This advanced event-triggered control scheme demonstrates superior performance over PETC and SETC, enhancing system stability.
Area of Science:
- Control Engineering
- Systems Theory
- Networked Control Systems
Background:
- Event-triggered control reduces communication load compared to traditional periodic control.
- Existing methods like PETC and SETC have limitations in flexibility and performance.
- Unified frameworks are needed to optimize control strategies for networked systems.
Purpose of the Study:
- To propose a novel dual-stage periodic event-triggered control (DSPETC) framework.
- To unify periodic event-triggered control (PETC) and switching event-triggered control (SETC) into a single scheme.
- To analyze the stability of the DSPETC framework for switched systems, considering network delays.
Main Methods:
- Introduced two period parameters, h1 (sampling period) and h2 (monitoring period), for the event-triggering rule.
- Represented the controlled system as a switched system model.
- Employed a switching-time-dependent Lyapunov functional for stability analysis.
- Investigated system stability with and without network-induced delays.
Main Results:
- The DSPETC framework successfully unifies PETC and SETC by adjusting the h2 parameter.
- Stability analysis confirmed the effectiveness of the Lyapunov functional for switched systems.
- Simulation and experimental results validated the superiority of DSPETC over PETC and SETC.
Conclusions:
- The proposed DSPETC framework offers a more flexible and superior approach to event-triggered control.
- DSPETC effectively manages system stability in the presence of network-induced delays.
- This unified approach enhances control performance and reduces communication overhead in networked systems.
Keywords:
Event-triggered controlExponential stabilityNetwork-induced delaysSwitching-time-dependent Lyapunov functionalMore Related Videos
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