Recently Koopman operator has become a promising data-driven tool to facilitate real-time control for unknown nonlinear systems. It maps systems into equivalent linear in embedding space, ready methods. However, designing an appropriate function remains challenging task. Furthermore, most Koopman-based algorithms only consider with input, resulting lousy prediction and performance when the syst...

Novel nonlinear damping control is proposed for the second-order systems. The proportional output feedback combined with term which quadratic to derivative and inverse set-point distance. global asymptotic stability, passivity property, convergence time accuracy are demonstrated. Also saturation case explicitly analyzed. suggested denoted as optimal since requiring no additional design paramete...

This paper presents a new control technique based on uncertain fuzzy models for handling uncertainties in nonlinear dynamic systems. approach is applied the stabilization of multimachine power system subject to disturbances. In this case, state-feedback controller parallel distributed compensation (PDC) system, where design laws Lyapunov function method and stability conditions are solved using...