| 引用本文: | 周楠,王森,王晶,沈栋.具有通信约束的反馈辅助PD型量化迭代学习控制[J].控制理论与应用,2020,37(9):1989~2000.[点击复制] |
| ZHOU Nan,WANG Sen,WANG Jing,SHEN Dong.Feedback-assisted PD-type quantized iterative learning control with communication constraints[J].Control Theory and Technology,2020,37(9):1989~2000.[点击复制] |
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| 具有通信约束的反馈辅助PD型量化迭代学习控制 |
| Feedback-assisted PD-type quantized iterative learning control with communication constraints |
| 摘要点击 1907 全文点击 715 投稿时间：2019-11-11 修订日期：2020-08-07 |
| 查看全文 查看/发表评论 下载PDF阅读器 |
| DOI编号 10.7641/CTA.2020.90932 |
| 2020,37(9):1989-2000 |
| 中文关键词 迭代学习控制 数据量化 数据包丢失 反馈辅助PD策略 初始状态条件 |
| 英文关键词 iterative learning control data quantization packet loss feedback-assisted PD strategy initial state conditions |
| 基金项目 国家自然科学基金项目(61973023, 61573050, 61673045), 北京市自然科学基金项目(4202052)资助. |
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| 中文摘要 |
| 本文针对网络线性系统, 研究了具有通信约束的反馈辅助PD型迭代学习控制问题. 信号从远程设备传输到
迭代学习控制器过程中, 存在数据量化与数据包丢失的情况. 将数据包丢失模型描述为具有已知概率的伯努利二
进制序列, 采用扇形界方法处理数据量化误差, 提出了一种反馈辅助PD型迭代学习控制算法. 采用压缩映射法分析
证明了在存在数据量化和丢失的情况下, 所提控制算法依然可以保证跟踪误差渐近收敛到零. 并进一步对存在初
始状态偏移时所提算法的鲁棒性进行了讨论. 最后, 通过仿真示例, 对比验证了理论结果的有效性和优越性. |
| 英文摘要 |
| The feedback-assisted PD-type iterative learning control (ILC) problem is studied for network linear systems
with communication constraints in this paper, where data quantization and dropouts occur during transmission from the
remote device to controller. The quantization error issue is handled by the sector bound method and the packet loss is
modeled by a Bernoulli binary sequence with known probability distribution. A feedback-assisted PD-type ILC is proposed
and the asymptotical convergence of the tracking error to zero is proved by the contraction mapping technique. The
robustness of the proposed algorithm in the presence of initial state shifts is further discussed. Simulation examples are
provided to demonstrate the effectiveness and superiority of the proposed scheme. |
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