On Certain Noise Filtering Techniques in Fixed Point Iteration-based Adaptive Control

In control applications the use of noise-burdened sensor signals cannot be evaded. Also, certain can lost. This problem traditionally is tackled by Kalman filters that provide some “optimal solution” to these problems based on reasonable assumptions are not always well underpinned in practice. These made with regard system model and statistical distribution noise signals. The Fixed Point Iteration-based adaptive controller applicable for various strongly nonlinear models. Because feeding back order time-derivative system’s variable immediately varied signal, its sensitivity considerable. this paper operation an unscented filter-based technique compared a simple moving window affine signal approximation, third low pass filter modified van der Pol oscillator. quadratic drag term added original describe motion turbulent fluid environment. According numerical simulations it stated simpler methods replace more complicated filter.