Optimal dynamic quantizer and input in quantized feedback control system
Optimal dynamic quantizer and input in quantized feedback control system
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DOI：
10.1109/iecon.2016.7793971
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发表时间：
2016-10
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影响因子：
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通讯作者：
Atsuki Tokunaga;T. Zanma;Kang‐Zhi Liu
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文献类型：
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作者：
Atsuki Tokunaga;T. Zanma;Kang‐Zhi Liu
在网络控制系统中，为了在有限带宽的通信信道上传输，需要对数据进行量化。我们考虑量化反馈控制系统中的动态量化器。在该系统中，利用模型预测控制对量化器参数和输入进行在线优化，以达到最优控制性能。在我们的方法中，显式地考虑了系统约束。仿真和实验结果验证了该方法的有效性。
In networked control systems, the data needs to be quantized for transmission over a limited bandwidth communication channel. We consider a dynamic quantizer in a quantized feedback control system. In this system, the quantizer parameters and input are optimized on-line by using the model predictive control to achieve the optimal control performance. In our method, the system constraints explicitly considered. The effectiveness of the proposed method is verified through simulation and experimental results.