Interactive Multiple Model Filter Design

This program implements an Interactive Multiple Model (IMM) filter design utilizing the current statistical model, demonstrating excellent tracking performance with robust multi-model integration for dynamic target estimation.

Third-Order Model Reference Adaptive Control

This system implements a third-order model reference adaptive controller with custom-designed adaptation laws, achieving excellent tracking performance. Completely original design with well-documented implementation.

Joint Probabilistic Data Association (JPDA) Algorithm for Multi-Target Tracking

A MATLAB implementation package for multi-target tracking using the Joint Probabilistic Data Association (JPDA) algorithm, featuring reasonable tracking performance with potential for optimization through data association techniques and measurement clustering.

Kalman Target Tracking Using the Delta-Jerk Model

Implementation of Kalman target tracking using the delta-jerk model, demonstrating excellent tracking performance with enhanced motion prediction capabilities.