Expectation maximization estimation for multirate state-space models with time-varying delays

Key Points

• Improved estimation of time-varying delays significantly enhances accuracy in state-space models.
• The method utilizes expectation maximization algorithms to optimize model parameters effectively.
• Analysis of multirate systems reveals crucial insights on how delays can impact state estimation accuracy.
• These findings indicate potential advancements for real-time applications in dynamic systems.