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| Adaptive event-triggered decentralized control for nonlinear interconnected large-scale systems with actuator failures: a fully actuated system approach |
| YueyaoYe1,YananQi1,YiyuFeng1,XiaofengXu1,XianfuZhang1 |
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| (School of Control Science and Engineering, Shandong University, Jinan 250061, Shandong, China) |
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| 摘要: |
| This study develops an event-triggered control strategy utilizing the fully actuated system approach for nonlinear interconnected large-scale systems containing actuator failures. First, to reduce the complexity of the design process, we transform the studied system into the form of a fully actuated system through a state transformation. Then, to address the unknown nonlinear functions and actuator fault parameters, we employ neural networks and adaptive estimation techniques, respectively. Moreover, to reduce the control cost and improve the control efficiency, we introduce event-triggered inputs into the control strategy. It is proved by the Lyapunov stability analysis that all signals of the closed-loop system are bounded and the output of system eventually converge to a bounded region. The efficacy of the control approach is ultimately demonstrated via the simulation of an actual machine feeding system. |
| 关键词: Nonlinear interconnected large-scale systems · Fully actuated system approach · Actuator failures · Neural networks |
| DOI：https://doi.org/10.1007/s11768-025-00301-6 |
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| 基金项目:This work was supported by the Science Center Program of National Natural Science Foundation of China under Grant 62188101, and the National Natural Science Foundation of China under Grant 62573265. |
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| Adaptive event-triggered decentralized control for nonlinear interconnected large-scale systems with actuator failures: a fully actuated system approach |
| Yueyao Ye1,Yanan Qi1,Yiyu Feng1,Xiaofeng Xu1,Xianfu Zhang1 |
| (School of Control Science and Engineering, Shandong University, Jinan 250061, Shandong, China) |
| Abstract: |
| This study develops an event-triggered control strategy utilizing the fully actuated system approach for nonlinear interconnected large-scale systems containing actuator failures. First, to reduce the complexity of the design process, we transform the studied system into the form of a fully actuated system through a state transformation. Then, to address the unknown nonlinear functions and actuator fault parameters, we employ neural networks and adaptive estimation techniques, respectively. Moreover, to reduce the control cost and improve the control efficiency, we introduce event-triggered inputs into the control strategy. It is proved by the Lyapunov stability analysis that all signals of the closed-loop system are bounded and the output of system eventually converge to a bounded region. The efficacy of the control approach is ultimately demonstrated via the simulation of an actual machine feeding system. |
| Key words: Nonlinear interconnected large-scale systems · Fully actuated system approach · Actuator failures · Neural networks |
