If we are hiring someone such as a carpenter or an auto mechanic, we always look for two things: what kind of tools they have and what they do when things go wrong. For many types of embedded systems, ...

It appears that no particular approximate [nonlinear] filter is consistently better than any other, though . . . any nonlinear filter is better than a strictly linear one. 1 The Kalman filter is a ...

This project implements a Kalman Filter for estimating the State of Charge (SOC) of a battery using a simplified Equivalent Circuit Model (ECM). The model assumes a linear Open Circuit Voltage ...

This course introduces the Kalman filter as a method that can solve problems related to estimating the hidden internal state of a dynamic system. It develops the background theoretical topics in state ...

As a follow-on course to "Kalman Filter Boot Camp", this course derives the steps of the linear Kalman filter to give understanding regarding how to adjust the method to applications that violate the ...

Abstract: This paper investigates the state estimation problem for power distribution networks subject to dynamic quantization effects and hybrid cyber-attacks, where measurement signals are ...

Abstract: This paper combined the double lower limbs and waist as rigid bodies. Each angle of hip, knee, and ankle joint can be measured through several Inertial Measurement Unit (IMU), formulating ...

I have tested the MHE example in https://github.com/casadi/casadi/blob/aa46f563b55017a2c4e16829164491d117c75a0a/docs/examples/python/mhe_spring_damper.py and compared ...