Tube-based model predictive control for wind power system using adaptive just-in-time learning modeling methodology
The wind power generation process exhibits strong nonlinearity and multiple constraints, making it difficult to establish an accurate global model for model predictive control. In practical applications, model mismatch often leads to a decline in control performance. To address this, a tube-based model predictive contr...