Deep neural networks-based output-dependent intermittent control for a class of uncertain nonlinear systems

Output information-based intermittent optimal control for continuous-time nonlinear systems with unmatched uncertainties via adaptive dynamic programming

Averaging principle for stochastic differential equations with monotone condition

Stochastic maximum principle for partially observed risk‐sensitive optimal control problems of mean‐field forward‐backward stochastic differential equations

Approximate the dynamical behavior for stochastic systems by Wong–Zakai approaching

Laval Nozzle-based optimal intermittent control of stochastic nonlinear strict-feedback systems via deep neural networks