Entropy estimation and information theory form the bedrock of our understanding of uncertainty and complexity in both natural and engineered systems. At its core, entropy quantifies the ...

Parametric estimation for diffusion processes is considered for high frequency observations over a fixed time interval. The processes solve stochastic differential equations with an unknown parameter ...

In this course, you will learn how to implement different state-of-charge estimation methods and to evaluate their relative merits. Prior knowledge needed: ECEA 5730, ECEA 5731, a Bachelor’s degree in ...