Control strategy with adaptive quantizer’s parameters under digital communication channels

A stabilizing controller designed without considering quantization may not be effectively implemented for the systems with quantized information due to quantization errors. Hence, an interesting issue is how to design the quantizer such that the desired system performance can be still attained by th...

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Veröffentlicht in:	Automatica (Oxford) Jg. 50; H. 10; S. 2665 - 2671
Hauptverfasser:	Niu, Yugang, Ho, Daniel W.C.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier Ltd 01.10.2014 Elsevier
Schlagworte:	Adaptative systems Adjusting rule Applied sciences Computer science; control theory; systems Control system synthesis Control systems Control theory. Systems Digital communication channel Exact sciences and technology Information, signal and communications theory Quantization Sampling, quantization Signal and communications theory Telecommunications and information theory Quantization Control systems Digital communication channel Adjusting rule Performance evaluation H infinite optimization Disturbance rejection On line Quantization error Information system Transmission channel Control synthesis Updating Decoding circuit Adaptive control Signal quantization Quantized signal Digital communication Quantifier State dependence
ISSN:	0005-1098, 1873-2836
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Abstract	A stabilizing controller designed without considering quantization may not be effectively implemented for the systems with quantized information due to quantization errors. Hence, an interesting issue is how to design the quantizer such that the desired system performance can be still attained by the above controller. In this work, a new control strategy with on-line updating the quantizer’s parameter is proposed. This scheme may ensure the controlled system to attain the same dynamic performance, H∞ disturbance attenuation level, as the one without signal quantization. A practical adjusting rule on quantizer’s parameter is proposed such that the state-dependent parameter is available on both sides of encoder/decoder. Finally, some numerical examples have been provided to illustrate the present control scheme.
AbstractList	A stabilizing controller designed without considering quantization may not be effectively implemented for the systems with quantized information due to quantization errors. Hence, an interesting issue is how to design the quantizer such that the desired system performance can be still attained by the above controller. In this work, a new control strategy with on-line updating the quantizer’s parameter is proposed. This scheme may ensure the controlled system to attain the same dynamic performance, H∞ disturbance attenuation level, as the one without signal quantization. A practical adjusting rule on quantizer’s parameter is proposed such that the state-dependent parameter is available on both sides of encoder/decoder. Finally, some numerical examples have been provided to illustrate the present control scheme.
Author	Ho, Daniel W.C. Niu, Yugang
Author_xml	– sequence: 1 givenname: Yugang surname: Niu fullname: Niu, Yugang email: acniuyg@ecust.edu.cn organization: Key Lab of Advanced Control and Optimization for Chemical Processed of Ministry of Education, East China University of Science & Technology, Shanghai 200237, China – sequence: 2 givenname: Daniel W.C. surname: Ho fullname: Ho, Daniel W.C. email: madaniel@cityu.edu.hk organization: Department of Mathematics, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong
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Keywords	Quantization Control systems Digital communication channel Adjusting rule Performance evaluation H infinite optimization Disturbance rejection On line Quantization error Information system Transmission channel Control synthesis Updating Decoding circuit Adaptive control Signal quantization Quantized signal Digital communication Quantifier State dependence
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Snippet	A stabilizing controller designed without considering quantization may not be effectively implemented for the systems with quantized information due to...
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SubjectTerms	Adaptative systems Adjusting rule Applied sciences Computer science; control theory; systems Control system synthesis Control systems Control theory. Systems Digital communication channel Exact sciences and technology Information, signal and communications theory Quantization Sampling, quantization Signal and communications theory Telecommunications and information theory
Title	Control strategy with adaptive quantizer’s parameters under digital communication channels
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