What is it about?
Uncertainties such as disturbance have harmful effcts on performance of systems. So it is important to find new the proper methods for decreasing effects of them. Learning algorithms like actor-critc along with adaptive control can help us to solve these problems.
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Why is it important?
It has a new perspective to design the systems with disturnance and it improves pervious method.
Perspectives
I hope our paper opens new ways to use learning algorithms in control.
Amir Gheibi
University of Tabriz
Read the Original
This page is a summary of: Designing of robust adaptive passivity-based controller based on reinforcement learning for nonlinear port-Hamiltonian model with disturbance, International Journal of Control, October 2018, Taylor & Francis,
DOI: 10.1080/00207179.2018.1532607.
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