This monograph explores new methods for the stability and stabilization of linear systems with nontrivial distributed delays through the construction of Lyapunov-Krasovski˘ı functionals.
The authors present a new algorithm that improves the convergence speed of iterative adaptation of feedforward controller parameters, enabling better performance in electromechanical switching devices.
Reinforcement learning of Koopman models enhances performance in economic nonlinear model predictive control.