Abstract: This article presents an adaptive neural network control scheme with prescribed performance for stochastic nonlinear systems. Unlike existing adaptive stochastic control schemes that ...
Abstract: This article formulates algorithms to upper-bound the maximum value-at-risk (VaR) of a state function along trajectories of stochastic processes. The VaR is upper bounded by two methods: ...
* Investments in securities are subject to market risks. These are indicative and should not be interpreted as investment advice or guaranteed returns. Disclaimer: This report is authored by an ...
The course is designed to emphasize hydrological concepts while providing useful skills for using well-known hydrological models in simulating hydrological processes. The course is divided into two ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results