The Extended Kalman Filter (EKF) is an advanced version of the Kalman filter that estimates the state of a nonlinear system by linearizing the system around the current estimate. It uses a recursive algorithm to predict future states and update the estimates based on new measurements. This makes it particularly useful in adaptive control systems and for applications like mobile robots and autonomous vehicles, where accurate state estimation is crucial for effective navigation and control.
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