Explore MATLAB source code curated for "状态" with clean implementations, documentation, and examples.
Implementation of Kalman and Extended Kalman Filters for state estimation in two-phase permanent magnet synchronous motors. Assuming measurable motor winding currents, EKF is employed to estimate rotor position and rotational speed with enhanced algorithm implementation details.
The Kalman filter is a highly efficient recursive filter (autoregressive filter) capable of estimating the state of dynamic systems from a series of incomplete and noisy measurements. Named after its inventor Rudolf E. Kalman, this filtering method was originally designed for Gaussian-distributed systems. Later scholars developed various improvements, including the Extended Kalman Filter (EKF) which extends applicability to time-nonlinear dynamic systems through first-order Taylor series linearization.
A comprehensive Simulink simulation model for lead-acid batteries that effectively simulates battery charging and discharging states, including voltage-current characteristics and state-of-charge dynamics.
Implementation of Kalman filter using T-S fuzzy model for estimating states in nonlinear systems, featuring code-level algorithm explanations and practical applications.