Joint State and Input Estimation of Agent Based on Recursive Kalman Filter Given Prior Knowledge
Zida Wu,Zhaoliang Zheng,Ankur Mehta,Zida Wu,Zhaoliang Zheng,Ankur Mehta
Modern autonomous systems are purposed for many challenging scenarios, where agents will face unexpected events and complicated tasks. The presence of disturbance noise with control command and unknown inputs can negatively impact robot performance. Previous research of joint input and state estimation separately studied the continuous and discrete cases without any prior information. This paper c...
