ADAPTIVE NEURAL NETWORK BASED TARGET TRACKING
Venkatesh Madyastha
Broschiertes Buch

ADAPTIVE NEURAL NETWORK BASED TARGET TRACKING

Adaptive Estimation For Control Of Uncertain Nonlinear Systems With Applications To Target Tracking

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Design of nonlinear observers has received considerable attention since the early development of methods for state estimation. The most popular approach is the extended Kalman filter (EKF) that goes through significant degradation in the presence of unmodeled nonlinearities. For uncertain nonlinear systems, adaptive observers have been introduced to estimate the unknown parameters where no apriori information about the unknown parameters is available. While establishing global results, these approaches are only applicable to systems transformable to output feedback form. Over the recent years,...