Self-Organizing Approximation Command Filtered Backstepping Control for Higher Order SISO Systems in Internet of Things
Self-Organizing Approximation Command Filtered Backstepping Control for Higher Order SISO Systems in Internet of Things
复制标题
物联网高阶 SISO 系统的自组织逼近命令滤波反步控制
DOI：
10.1109/access.2018.2888510
复制
发表时间：
2019
期刊：
影响因子：
3.9
通讯作者：
Tang Chaogang
中科院分区：
文献类型：
--
作者：
He Qiusheng;Chen Wei;Wang Haitao;Hu Qingsong;Sun Tongfeng;Tang Chaogang
随着物联网的快速发展，针对仿射不确定物联网系统的跟踪控制问题研究日益增多，提出了一种基于自组织逼近的指令滤波反推非线性控制方法。采用饱和结构的指令滤波器消除指令导数的解析计算，并重新定义跟踪误差以补偿指令滤波信号与指令导数解析计算之间的差异。采用命令滤波反推法对高阶物联网系统进行解耦，简化了物联网系统的结构。自组织逼近用于在线逼近不确定性，消除不确定性对物联网系统的影响。对不确定性的逼近是通过一组基函数与局部区域上的权函数的线性乘积来完成的。补偿后的跟踪误差的加权和被用作预定的跟踪精度性能。根据基于李雅普诺夫理论的判据，在控制系统中加入一个新的局部逼近器，以提高逼近器在不能达到预定跟踪精度性能时的能力。最后，通过仿真分析了一个简单的物联网系统的应用。仿真结果表明，该控制方法对物联网系统是有效的。
With the rapid development of the Internet of Things (IOT) and increasing research on tracking control of the affine IOT systems with uncertainty, a nonlinear control method of command filtering backstepping with self-organizing approximation is proposed. A command filter with a saturation structure is used to eliminate the analytic computation of command derivatives, and tracking errors are redefined to compensate the discrepancy between the command filtered signals and the analytic computation of command derivatives. Command filtered backstepping is used to decouple the higher IOT system and simplify the structure of the IOT system. Self-organizing approximation is used to online approximate the uncertain and eliminate the effect of the uncertain in the IOT system. The approximation for the uncertain is finished by a linear product between a set of basis functions and weighted functions on the local region. The weighted sum of compensated tracking errors is used as the prespecified tracking accuracy performance. A new local approximator is added to the control system according to the criterion based on the Lyapunov theory to enhance the capacity of the approximator when the prespecified tracking accuracy performance cannot be achieved. Finally, an application for a simple IOT system is analyzed by simulations. The simulation results show that the control method for the IOT system is effective.
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DOI：
10.1109/acc.2006.1657240
发表时间：
2006-06
期刊：
2006 American Control Conference
影响因子：
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作者：
J. Farrell;Yiming Zhao
通讯作者：
J. Farrell;Yiming Zhao
DOI：
10.1109/med.2016.7535860
发表时间：
2016-06
期刊：
2016 24th Mediterranean Conference on Control and Automation (MED)
影响因子：
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作者：
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通讯作者：
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影响因子：
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作者：
Heng Zhang;Yifei Qi;Huan Zhou;Jian Zhang;Jing Sun
通讯作者：
Jing Sun
DOI：
10.1016/j.jpdc.2017.05.006
发表时间：
2017-06
期刊：
J. Parallel Distributed Comput.
影响因子：
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作者：
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Binbin Yong;Zijian Xu;Xin Wang;Libin Cheng;Xue Li;X. Wu;Qingguo Zhou
DOI：
10.1109/cdc.2005.1582253
发表时间：
2005-12
期刊：
Proceedings of the 44th IEEE Conference on Decision and Control
影响因子：
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作者：
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通讯作者：
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