In this article, by exploiting the event-triggered neural critic control scheme, the optimal
control question of nonlinear continuous-time multiplayer nonzero-sum games with …

In this study, a nonlinear robust control policy is designed together with a state observer in
order to manage the novel coronavirus disease (COVID-19) outbreak having an uncertain …

Although an appropriate choice of measured state variables may ensure observability,
designing state observers for the state estimation of epidemic models remains a challenging …

To analyze and predict the evolution of contagion dynamics, fractional derivative modeling
has emerged as an important technique. However, inferring the dynamical structure of …

This paper presents a spectral approach to the uncertainty management in epidemic models
through the formulation of chance-constrained stochastic optimal control problems …

This paper proposes a feedback design that effectively copes with uncertainties for reliable
epidemic monitoring and control. There are several optimization-based methods to estimate …