| Adaptive event-triggered distributed optimal guidance design via adaptive dynamic programming |
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| 作者姓名： | Teng LONG Yan CAO Jingliang SUN Guangtong XU |
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| 作者单位： | 1. School of Aerospace Engineering, Beijing Institute of Technology;2. Key Laboratory of Dynamics and Control of Flight Vehicle, Ministry of Education China;3. Department of Precision Instrument, Tsinghua University |
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| 基金项目： | co-supported by the National Natural Science Foundation of China (No. 62003036)；;China Postdoctoral Science Foundation (No. 2019TQ0037)； |
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| 摘 要： | In this paper, the multi-missile cooperative guidance system is formulated as a general nonlinear multi-agent system. To save the limited communication resources, an adaptive eventtriggered optimal guidance law is proposed by designing a synchronization-error-driven triggering condition, which brings together the consensus control with Adaptive Dynamic Programming(ADP) technique. Then, the developed event-triggered distributed control law can be employed by finding an approximate solution of eve...
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| 收稿时间： | 3 March 2019 |
Adaptive event-triggered distributed optimal guidance design via adaptive dynamic programming |
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| Teng LONG,Yan CAO,Jingliang SUN,Guangtong XU.Adaptive event-triggered distributed optimal guidance design via adaptive dynamic programming[J].Chinese Journal of Aeronautics,2022,35(7):113-127. |
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| Institution: | 1. School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081, China;2. Key Laboratory of Dynamics and Control of Flight Vehicle, Ministry of Education China, Beijing 100081, China;3. Department of Precision Instrument, Tsinghua University, Beijing 100084, China |
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| Abstract: | In this paper, the multi-missile cooperative guidance system is formulated as a general nonlinear multi-agent system. To save the limited communication resources, an adaptive event-triggered optimal guidance law is proposed by designing a synchronization-error-driven triggering condition, which brings together the consensus control with Adaptive Dynamic Programming (ADP) technique. Then, the developed event-triggered distributed control law can be employed by finding an approximate solution of event-triggered coupled Hamilton-Jacobi-Bellman (HJB) equation. To address this issue, the critic network architecture is constructed, in which an adaptive weight updating law is designed for estimating the cooperative optimal cost function online. Therefore, the event-triggered closed-loop system is decomposed into two subsystems: the system with flow dynamics and the system with jump dynamics. By using Lyapunov method, the stability of this closed-loop system is guaranteed and all signals are ensured to be Uniformly Ultimately Bounded (UUB). Furthermore, the Zeno behavior is avoided. Simulation results are finally provided to demonstrate the effectiveness of the proposed method. |
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| Keywords: | Adaptive dynamic programming Distributed control Event-triggered Guidance and control Multi-agent system |
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