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| 论文编号: |
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| 第一作者所在部门: |
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| 中文论文题目: |
Robust adaptive critic control design with network-based event-triggered formulation
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| 英文论文题目: |
Robust adaptive critic control design with network-based event-triggered formulation
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| 论文题目英文: |
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| 作者: |
Mu, Chaoxu
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| 论文出处: |
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| 刊物名称: |
NONLINEAR DYNAMICS
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| 年: |
2017
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| 卷: |
90 |
| 期: |
3 |
| 页: |
2023-2035 |
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| 收录类别: |
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| 影响因子: |
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| 摘要: |
In this paper, by incorporating the network-based event-triggered formulation, the robust adaptive critic control design for a class of nonlinear continuous-time systems is investigated to fulfill disturbance rejection. First, the designed problem with output information is formulated as a two-player zero-sum differential game and the adaptive critic mechanism is employed toward the event-based minimax optimization involving a suitable triggering condition. Then, the event-based optimal control law and the time-based worst-case disturbance law are learned by training the critic neural network. Besides, the closed-loop system is constructed with stability proof of the critic error dynamics and the sampled-data plant. The theoretical analysis has demonstrated that the infamous Zeno behavior of the proposed event-based adaptive critic design has been avoided. Finally, the developed method is applied toward the robot arm plant, as a mechanical component of the complex robot system, so as to substantiate the performance of disturbance rejection. |
| 英文摘要: |
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