The content discusses the challenges of control allocation in over-actuated aircraft and proposes an artificial neural network-based approach. It covers the traditional linear control allocation methods, the shift towards nonlinear control allocation, and the use of ANNs for approximating complex control effectiveness mappings. The research explores stability conditions, computational challenges, and compares the proposed scheme with standard methods. It delves into the training process, performance evaluation, and closed-loop stability analysis. The study concludes with results, discussions, and future research directions.
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