DocumentCode :
165335
Title :
SNR limitation for feedback control systems with amplitude-bounded noise
Author :
Shingin, Hidenori ; Ohta, Yoshichika
Author_Institution :
Dept. of Mech. Eng., Yamaguchi Univ., Yamaguchi, Japan
fYear :
2014
fDate :
8-10 Oct. 2014
Firstpage :
1632
Lastpage :
1637
Abstract :
This paper presents an SNR limitation in control under amplitude-bounded noise. The SNR of feedback link in control system is evaluated with respect to amplitude and minimized over all causal control laws. The minimum SNR is represented by the absolute value of the product of unstable poles of the plant. This index is known to describe performance limitations in various control problems. The optimal control law minimizing the SNR is simply constructed as a combination of scaling factor and the state feedback gain for minimum energy control. This control law overcomes the drawback of computational complexity of the encoding scheme minimizing bit-rate, which is employed to minimize an amplitude-base SNR in our preceding work. This simplification is accomplished by relaxing the requirement of stability to the convergence of the state to near the origin and introducing a new criterion for evaluating SNR.
Keywords :
Gaussian channels; active noise control; channel capacity; computational complexity; optimal control; stability; state feedback; telecommunication control; Gaussian channels; SNR limitation; amplitude-bounded noise; channel capacity; computational complexity; feedback control system; minimum energy control; optimal control law; scaling factor; state feedback gain; Control systems; Estimation; Indexes; Observability; Signal to noise ratio; Silicon;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control (ISIC), 2014 IEEE International Symposium on
Conference_Location :
Juan Les Pins
Type :
conf
DOI :
10.1109/ISIC.2014.6967631
Filename :
6967631
Link To Document :
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