Task given at Signals and Systems class (2022.1) at Instituto Federal Fluminense (IFF). It uses a linearized PMSM electric motor model as plant, and its goal is to estimate the current states after ...
This is part of the unmanned bicycle project at CSU Chico. The kalman filter algorithm we used for a while was initially developed in Matlab and tested against sample data collected in November 2017.
Abstract: This paper proposes a Kalman filter based state-of-charge (SOC) estimation MATLAB function using a second-order RC equivalent circuit model (ECM). The function requires the SOC-OCV (open ...
Abstract: Computational issues in real‐time applications when using the Kalman filter are very important. It addresses the real‐time computational issues in the Kalman filter. This chapter introduces ...
ABSTRACT: Some applications are constrained only to implement low cost receivers. In this case, designers are required to use less complex and non-expensive modulation techniques. Differential ...
ABSTRACT: Optimizing the estimates of received power signals is important as it can improve the process of transferring an active call from one base station in a cellular network to another base ...
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