Neural Network-Based Feedback Linearization Control Process
Introduction to the feedback linearization control process utilizing neural networks. Feedback linearization employs control feedback mechanisms to eliminate nonlinearities within a system, resulting in linear dynamics for the closed-loop system. This approach involves implementing algorithms that transform nonlinear system dynamics into linear equivalents through coordinate transformations and nonlinear feedback control laws.