Adaptive Tracking Control for ARMA Models with Quantized Observations Under Non-Periodic Reference Signals

Key Points

• Effective adaptive tracking control is achieved using ARMA models with quantized observations—resulting in enhanced stability.
• The analysis demonstrates improved feedback mechanisms, securing better response to non-periodic reference signals.
• Implementation of control theory methodologies reveals significant implications for quantized observation scenarios.
• Findings may enable the development of robust systems that perform effectively in real-world applications under data constraints.