Linear programming based optimal dynamic quantizer synthesis for discrete-valued input control

Author(s):  
Shun-ichi Azuma ◽  
Toshiharu Sugie
Author(s):  
Atsushi Matsuya ◽  
Takao Sato ◽  
Nozomu Araki ◽  
Yasuo Konishi

Author(s):  
Shun-ichi Azuma ◽  
Yuki Minami ◽  
Toshiharu Sugie

This paper proposes to use optimal dynamic quantizers for feedback control in mechatronics systems when the actuator signals are constrained to discrete-valued signals. Here, the dynamic quantizer is a device that transforms the continuous-valued signals into the discrete-valued ones depending on the past signal data, as well as the current data. First, a closed form optimal quantizer is presented in a general linear fraction transformation representation setting. The optimal quantizer minimizes the deviation of the output produced by the quantized signals from the corresponding output yielded by the continuous-valued signals before quantization. Then, its experimental evaluation is performed by using a crane positioning system with a discrete-valued input to demonstrate the effectiveness of the proposed quantizers.


Author(s):  
Mu Li ◽  
◽  
Lihua Dou ◽  
Jie Chen ◽  
Jian Sun

This paper is concerned with the stabilization problem of an optimal dynamic quantized system with packet loss. The optimal dynamic quantizer, which minimizes the quantized output error, is designed for a discretetime system with packet loss occurring in the forward channel. A sufficient condition for the system’s mean square stability is developed based on matrix inequality method. A state feedback controller design method is also proposed, and numerical simulation demonstrates the effectiveness of the proposed method.


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