Neural-Network-Based Terminal Sliding Mode Control for Frequency Stabilization of Renewable Power Systems.
Dianwei QianGuoliang FanPublished in: IEEE CAA J. Autom. Sinica (2018)
Keyphrases
- power system
- sliding mode control
- power generation
- adaptive fuzzy
- renewable energy sources
- neural network
- adaptive neural
- control strategy
- power grid
- computational intelligence
- robot manipulators
- smart grid
- support vector regression
- fuzzy control
- electric power systems
- nonlinear systems
- load forecasting
- real time
- machine learning
- chaotic systems
- fuzzy systems
- support vector machine
- adaptive control
- expert systems
- control algorithm
- feed forward
- mathematical model