A new super-predefined-time convergence and noise-tolerant RNN for solving time-variant linear matrix-vector inequality in noisy environment and its application to robot arm.
Boyu ZhengChong YueQianqian WangChunquan LiZhijun ZhangJunzhi YuPeter X. LiuPublished in: Neural Comput. Appl. (2024)
Keyphrases
- robot arm
- noise tolerant
- noisy environments
- noisy data
- motion planning
- nearest neighbor
- weight vector
- speech recognition
- control strategies
- noise reduction
- position and orientation
- statistical queries
- convergence rate
- feature vectors
- computational intelligence
- data sets
- speech signal
- automatic speech recognition
- nonlinear systems
- fuzzy logic
- evolutionary algorithm