Function approximation refers to the process of estimating a target function using a simpler, typically parameterized function. This technique is especially useful in control systems, where the goal is to develop models that can predict system behavior without requiring an explicit mathematical representation. By leveraging function approximation, control strategies can be developed that adaptively learn the dynamics of complex systems, making it easier to design effective controllers in nonlinear scenarios.
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