Approximate optimal iterative approach for a class of oscillatory neuron models
Author:
Affiliation:
1. Institute of System Engineering, Jiangnan University, Wuxi, People's Republic of China
2. Wuxi Institute of Technology, Wuxi, People's Republic of China
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Publisher
Informa UK Limited
Subject
Artificial Intelligence,Control and Optimization,Control and Systems Engineering
Link
http://www.tandfonline.com/doi/pdf/10.1080/21642583.2018.1547882
Reference39 articles.
1. On the optimal control of nonlinear systems
2. Optimal control of stochastic FitzHugh–Nagumo equation
3. Galerkin approximations of the generalized Hamilton-Jacobi-Bellman equation
4. Approximation procedures for the optimal control of bilinear and nonlinear systems
5. On non-linear dynamics and control designs applied to the ideal and non-ideal variants of the Fitzhugh–Nagumo (FN) mathematical model
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