“…The concept of robust state estimation has been around for a long time, but its theory was formally introduced in the 1960s to address the instability issues in traditional optimization processes [
7]. In the 1980s, Zames introduced the concept of
in control systems to reduce sensitivity to model uncertainties [
8], which further led to the famous
estimation method and more related research [
9–11]. Another important approach in robust state estimation is based on various improvements to the Kalman filter.…”