Research on Time-varying RBF NN and Its Application
Author:
Affiliation:
1. College of Weaponry Engineering, Naval University of Engineering,Wuhan,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10053842/10053684/10053686.pdf?arnumber=10053686
Reference11 articles.
1. Adaptive iterative learning control of a class of nonlinear time-delay systems with unknown backlash-like hysteresis input and control direction;wei;ISA Transactions,2017
2. S-class Functions Based Adaptive Controller Design for a Class of Periodically Time-varying Nonlinear Systems
3. Continuous sliding mode iterative learning control for output constrained MIMO nonlinear systems
4. Adaptive tracking for periodically time-varying and nonlinearly parameterized systems using multilayer neural networks;chen;IEEE Transactions on Neural Networks,2010
5. Adaptive neural tracking control for stochastic nonlinear multi-agent periodic time-varying systems
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