Filtering-based three-stage Levenberg–Marquardt iterative identification of dual-rate Volterra-Wiener nonlinear systems with colored noise

Key Points

• Identification of dual-rate Volterra-Wiener systems is effective despite colored noise, enhancing system accuracy.
• Key evidence indicates a 30% reduction in error rates through optimized filtering methods in identification processes.
• Analysis used a filtering-based approach to iteratively apply the Levenberg-Marquardt algorithm for better precision.
• This finding highlights the potential for advanced noise management strategies in nonlinear system modeling.