MATLAB Simulation of Uniformly Accelerated Target Motion with Kalman and Alpha-Beta-Gamma Filtering

MATLAB simulation of uniformly accelerated target motion employing both Kalman filtering and alpha-beta-gamma (α-β-γ) filtering techniques, featuring implementation of Singer model and "current" statistical model for motion tracking and prediction.

Practical Example of Information Fusion Using Dynamic Matrix Control (DMC)

A practical example demonstrating how Dynamic Matrix Control (DMC) achieves desired target values for known requirements in information fusion applications. All programs have been thoroughly debugged and validated. This example includes implementation details about DMC's predictive control algorithm, step response modeling, and optimization calculations.

Path Planning Based on Artificial Potential Field Method

## Execution Instructions: - Run the main.m file from the project directory. - Users can define objects like robots, goals, and obstacles in this file for custom configuration. ## Requirements: - MATLAB software ## Key Features: - Single robot and target object implementation - Two predefined obstacles for collision avoidance scenarios ## Objective: - To guide a mobile robot from its starting position to the target point while avoiding obstacles along the path using potential field algorithms.