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Gao Y, Hu J, Yu H, Du J, Jia C. Variance-Constrained Resilient $$H_{\infty }$$ State Estimation for Time-Varying Neural Networks with Random Saturation Observation Under Uncertain Occurrence Probability. Neural Process Lett 2023. [DOI: 10.1007/s11063-022-11078-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
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Mantas C. Interpretation of first-order recurrent neural networks by means of fuzzy rules. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2019. [DOI: 10.3233/jifs-190215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- C.J. Mantas
- Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain
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Sun B, Zhu D, Yang SX. Real-time hybrid design of tracking control and obstacle avoidance for underactuated underwater vehicles. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2016. [DOI: 10.3233/ifs-151799] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Bing Sun
- Laboratory of Underwater Vehicles and Intelligent Systems, Shanghai Maritime University, Shanghai, China
| | - Daqi Zhu
- Laboratory of Underwater Vehicles and Intelligent Systems, Shanghai Maritime University, Shanghai, China
| | - Simon X. Yang
- The Advanced Robotics and Intelligent Systems Laboratory, School of Engineering, University of Guelph, Guelph, ON, Canada
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