Lyapunov-based model predictive control for continuous stirred-tank reactors using physics-informed neural networks and disturbance observer
To address modeling complexity and poor control performance of traditional methods for continuous stirred-tank reactors subject to severe nonlinearity, and multivariable coupling, this paper proposes a Lyapunov-based model predictive control strategy integrating physics-informed neural networks and disturbance observer...