Anni Zhao, Arash Toudeshki, Reza Ehsani, Joshua H. Viers, Jian-Qiao Sun
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Robustness improvement of optimal control in terms of RBFNN with empirical model reduction and transfer learning
This paper proposes a method to compute solutions of optimal controls for dynamic systems in terms of radial basis function neural networks (RBFNN) with Gaussian neurons. The RBFNN is used to compu...
期刊介绍：
The International Journal of Control publishes top quality, peer reviewed papers in all areas, both established and emerging, of control theory and its applications.
Readership: Development engineers and research workers in industrial automatic control. Research workers and students in automatic control and systems science in universities. Teachers of advanced automatic control in universities. Applied mathematicians and physicists working in automatic control and systems analysis. Development and research workers in fields where automatic control is widely applied: process industries, energy utility industries and advanced manufacturing, embedded systems and robotics.
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