Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/614968
Title: Optimal Communication Network-Based H_\infty Quantized Control With Packet Dropouts for a Class of Discrete-Time Neural Networks With Distributed Time Delay
Authors: Qing-Long Han;Yurong Liu;Fuwen Yang
subject: Discrete-time neural networks;distributed time delays;packet dropouts;quantized control.;H∞ control
Year: 2016
Publisher: IEEE
Abstract: This paper is concerned with optimal communication network-based H<sub>&#x221E;</sub> quantized control for a discrete-time neural network with distributed time delay. Control of the neural network (plant) is implemented via a communication network. Both quantization and communication network-induced data packet dropouts are considered simultaneously. It is assumed that the plant state signal is quantized by a logarithmic quantizer before transmission, and communication network-induced packet dropouts can be described by a Bernoulli distributed white sequence. A new approach is developed such that controller design can be reduced to the feasibility of linear matrix inequalities, and a desired optimal control gain can be derived in an explicit expression. It is worth pointing out that some new techniques based on a new sector-like expression of quantization errors, and the singular value decomposition of a matrix are developed and employed in the derivation of main results. An illustrative example is presented to show the effectiveness of the obtained results.
URI: http://localhost/handle/Hannan/154246
http://localhost/handle/Hannan/614968
ISSN: 2162-237X
2162-2388
volume: 27
issue: 2
Appears in Collections:2016

Files in This Item:
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Title: Optimal Communication Network-Based H_\infty Quantized Control With Packet Dropouts for a Class of Discrete-Time Neural Networks With Distributed Time Delay
Authors: Qing-Long Han;Yurong Liu;Fuwen Yang
subject: Discrete-time neural networks;distributed time delays;packet dropouts;quantized control.;H&#x221E; control
Year: 2016
Publisher: IEEE
Abstract: This paper is concerned with optimal communication network-based H<sub>&#x221E;</sub> quantized control for a discrete-time neural network with distributed time delay. Control of the neural network (plant) is implemented via a communication network. Both quantization and communication network-induced data packet dropouts are considered simultaneously. It is assumed that the plant state signal is quantized by a logarithmic quantizer before transmission, and communication network-induced packet dropouts can be described by a Bernoulli distributed white sequence. A new approach is developed such that controller design can be reduced to the feasibility of linear matrix inequalities, and a desired optimal control gain can be derived in an explicit expression. It is worth pointing out that some new techniques based on a new sector-like expression of quantization errors, and the singular value decomposition of a matrix are developed and employed in the derivation of main results. An illustrative example is presented to show the effectiveness of the obtained results.
URI: http://localhost/handle/Hannan/154246
http://localhost/handle/Hannan/614968
ISSN: 2162-237X
2162-2388
volume: 27
issue: 2
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7066897.pdf673.39 kBAdobe PDFThumbnail
Preview File
Title: Optimal Communication Network-Based H_\infty Quantized Control With Packet Dropouts for a Class of Discrete-Time Neural Networks With Distributed Time Delay
Authors: Qing-Long Han;Yurong Liu;Fuwen Yang
subject: Discrete-time neural networks;distributed time delays;packet dropouts;quantized control.;H&#x221E; control
Year: 2016
Publisher: IEEE
Abstract: This paper is concerned with optimal communication network-based H<sub>&#x221E;</sub> quantized control for a discrete-time neural network with distributed time delay. Control of the neural network (plant) is implemented via a communication network. Both quantization and communication network-induced data packet dropouts are considered simultaneously. It is assumed that the plant state signal is quantized by a logarithmic quantizer before transmission, and communication network-induced packet dropouts can be described by a Bernoulli distributed white sequence. A new approach is developed such that controller design can be reduced to the feasibility of linear matrix inequalities, and a desired optimal control gain can be derived in an explicit expression. It is worth pointing out that some new techniques based on a new sector-like expression of quantization errors, and the singular value decomposition of a matrix are developed and employed in the derivation of main results. An illustrative example is presented to show the effectiveness of the obtained results.
URI: http://localhost/handle/Hannan/154246
http://localhost/handle/Hannan/614968
ISSN: 2162-237X
2162-2388
volume: 27
issue: 2
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7066897.pdf673.39 kBAdobe PDFThumbnail
Preview File