Competition-Based Neural Networks with Robotic Applications - SpringerBriefs in Applied Sciences and Technology
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Competition Aided with Finite-Time Neural Network

Competition-Based Neural Networks with Robotic Applications - SpringerBriefs in Applied Sciences and Technology ◽

10.1007/978-981-10-4947-7_3 ◽

2017 ◽

pp. 25-55

Author(s):

Shuai Li ◽

Long Jin

Keyword(s):

Neural Network ◽

Finite Time

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Competition Based on Selective Positive-Negative Feedback

Competition-Based Neural Networks with Robotic Applications - SpringerBriefs in Applied Sciences and Technology ◽

10.1007/978-981-10-4947-7_4 ◽

2017 ◽

pp. 57-79

Author(s):

Shuai Li ◽

Long Jin

Keyword(s):

Negative Feedback

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Competition Aided with Continuous-Time Nonlinear Model

Competition-Based Neural Networks with Robotic Applications - SpringerBriefs in Applied Sciences and Technology ◽

10.1007/978-981-10-4947-7_2 ◽

2017 ◽

pp. 13-23

Author(s):

Shuai Li ◽

Long Jin

Keyword(s):

Nonlinear Model ◽

Continuous Time

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Competition-Based Distributed Coordination Control of Robots

Competition-Based Neural Networks with Robotic Applications - SpringerBriefs in Applied Sciences and Technology ◽

10.1007/978-981-10-4947-7_6 ◽

2017 ◽

pp. 103-121

Author(s):

Shuai Li ◽

Long Jin

Keyword(s):

Distributed Coordination ◽

Coordination Control

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Distributed Competition in Dynamic Networks

Competition-Based Neural Networks with Robotic Applications - SpringerBriefs in Applied Sciences and Technology ◽

10.1007/978-981-10-4947-7_5 ◽

2017 ◽

pp. 81-102

Author(s):

Shuai Li ◽

Long Jin

Keyword(s):

Dynamic Networks

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Competition Aided with Discrete-Time Dynamic Feedback

Competition-Based Neural Networks with Robotic Applications - SpringerBriefs in Applied Sciences and Technology ◽

10.1007/978-981-10-4947-7_1 ◽

2017 ◽

pp. 1-12

Author(s):

Shuai Li ◽

Long Jin

Keyword(s):

Discrete Time ◽

Dynamic Feedback ◽

Time Dynamic

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Competition-Based Neural Networks with Robotic Applications - SpringerBriefs in Applied Sciences and TechnologyLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Singapore

Competition Aided with Finite-Time Neural Network

Competition Based on Selective Positive-Negative Feedback

Competition Aided with Continuous-Time Nonlinear Model

Competition-Based Distributed Coordination Control of Robots

Distributed Competition in Dynamic Networks

Competition Aided with Discrete-Time Dynamic Feedback

Competition-Based Neural Networks with Robotic Applications - SpringerBriefs in Applied Sciences and Technology
Latest Publications