Stability Enhancement Methods of Inverters Based on Lyapunov Function, Predictive Control, and Reinforcement Learning
Language: English
Published by Springer 2022-11, 2022
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- New

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- Title
- Stability Enhancement Methods of Inverters Based on Lyapunov Function, Predictive Control, and Reinforcement Learning
- Author
- Zhang, Xin
- Publisher
- Springer 2022-11
- Publication year
- 2022
- Condition
- New
- Binding
- PF
- Language
- English
- ISBN 10
- 9811971927
- ISBN 13
- 9789811971921
Introduction.- Adaptive backstepping current control of single-phase LCL-grid-connected inverters to improve its large-signal stability in the presence of parasitic resistance uncertainty.- An adaptive dual-loop Lyapunov-based control scheme for a single-phase stand-alone inverter to improve its large-signal stability.- Lyapunov-based control of three-phase stand-alone inverters to improve its large-signal stability with inherent dual control loops and load disturbance adaptivity.- An ellipse-optimized composite backstepping control strategy for a point-of-load inverter to improve its large-signal stability under load disturbance in the shipboard power system.- Stability constraining dichotomy solution based model predictive control for the three phase inverter cascaded with input EMI filter in the MEA.- Composite-bisection predictive control to stabilize the three phase inverter cascaded with input EMI filter in the SPS.- Reinforcement learning based weighting factors' real-time updating scheme for the FCS model predictive control to improve the large-signal stability of inverters.
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Chiron Media
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