All Outputs (2)

A Novel Approach for Solving the Time-Varying Complex-Valued Linear Matrix Inequality Based on Fuzzy-Parameter Zeroing Neural Network (2024)
Conference Proceeding
Luo, J., Li, J., Holderbaum, W., & Li, J. (2024). A Novel Approach for Solving the Time-Varying Complex-Valued Linear Matrix Inequality Based on Fuzzy-Parameter Zeroing Neural Network. In 2024 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE International Conference on Robotics, Automation and Mechatronics (RAM) (543-548). https://doi.org/10.1109/cis-ram61939.2024.10672985

Solving linear matrix inequality (LMI) is crucial across diverse fields, and the emergence of zeroing neural networks (ZNN) presents a novel solution for the time-varying LMI (TV-LMI) challenge. However, the application of ZNN to solve the time-varyi... Read More about A Novel Approach for Solving the Time-Varying Complex-Valued Linear Matrix Inequality Based on Fuzzy-Parameter Zeroing Neural Network.

Approaches for Enhancement of Perception Through Snsor Design for Extreme Environment (2024)
Conference Proceeding
Li, J., Li, N., Holderbaum, W., & Yao, W. (2024). Approaches for Enhancement of Perception Through Snsor Design for Extreme Environment. In 2024 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE International Conference on Robotics, Automation and Mechatronics (RAM) (531-536). https://doi.org/10.1109/cis-ram61939.2024.10672968

The application of artificial intelligence (AI) and robotics in extreme environments, is crucial for addressing complex challenges and performing high risk tasks. We highlight the importance of multi-modal sensor redundancy to ensure system reliabili... Read More about Approaches for Enhancement of Perception Through Snsor Design for Extreme Environment.