An Interval Type-2 Fuzzy Innovative Adaptive Extended Kalman Filter for State Estimation

Key Points

• State estimation accuracy improves with the innovative adaptive extended kalman filter.
• The fuzzy logic approach enhances robustness against uncertainties, achieving notable real-time performance.
• Analysis based on nonlinear systems showcases the filter's effectiveness in dynamic environments.
• Findings may enable more reliable applications in engineering systems requiring precise state estimation.