Robust zeroing neural network for fixed-time kinematic control of wheeled mobile robot in noise-polluted environment
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Publication:2661404
DOI10.1016/j.matcom.2020.12.030OpenAlexW3118403460MaRDI QIDQ2661404
Jianqiang Gong, Lv Zhao, Jie Jin
Publication date: 7 April 2021
Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.matcom.2020.12.030
robustnesstime-varyingfixed-time convergencezeroing neural network (ZNN)wheeled mobile robot (WMR)dynamic noisesinverse kinematic problem (IKP)robust zeroing neural network (RZNN)
Related Items (5)
A novel robust fixed-time convergent zeroing neural network for solving time-varying noise-polluted nonlinear equations ⋮ A combined power activation function based convergent factor-variable ZNN model for solving dynamic matrix inversion ⋮ Improved zeroing neural models based on two novel activation functions with exponential behavior ⋮ A noise tolerant parameter-variable zeroing neural network and its applications ⋮ A nonlinear zeroing neural network and its applications on time-varying linear matrix equations solving, electronic circuit currents computing and robotic manipulator trajectory tracking
Cites Work
- Nonlinear gradient neural network for solving system of linear equations
- Nonlinear recurrent neural networks for finite-time solution of general time-varying linear matrix equations
- Semiglobal practical stabilization of nonholonomic wheeled mobile robots with saturated inputs
- Design and implementation of a block-backstepping based tracking control for nonholonomic wheeled mobile robot
- Noise-Tolerant ZNN Models for Solving Time-Varying Zero-Finding Problems: A Control-Theoretic Approach
- Nonlinear Feedback Design for Fixed-Time Stabilization of Linear Control Systems
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