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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∞ control |
Year: | 2016 |
Publisher: | IEEE |
Abstract: | This paper is concerned with optimal communication network-based H<sub>∞</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 | Size | Format | |
---|---|---|---|---|
7066897.pdf | 673.39 kB | Adobe PDF | ![]() 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∞ control |
Year: | 2016 |
Publisher: | IEEE |
Abstract: | This paper is concerned with optimal communication network-based H<sub>∞</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 | Size | Format | |
---|---|---|---|---|
7066897.pdf | 673.39 kB | Adobe PDF | ![]() 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∞ control |
Year: | 2016 |
Publisher: | IEEE |
Abstract: | This paper is concerned with optimal communication network-based H<sub>∞</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 | Size | Format | |
---|---|---|---|---|
7066897.pdf | 673.39 kB | Adobe PDF | ![]() Preview File |