High Accuracy Sigma-Delta Modulator implementations via Suboptimal Quasi-Sliding Mode Control

Pilloni, Alessandro; Franceschelli, Mauro; Pisano, Alessandro; Usai, Elio

doi:10.1109/vss.2018.8460315

Cited by 2 publications

(1 citation statement)

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“…Aside many applications of filter , the sliding mode and variable structure filters are regarded as the vital implementations that provide the integration of certain qualities such as precision [52][53][54][55][56][57][58][59][60][61][62][63][64][65][66][67][68], flexibility [69][70][71][72], and robustness [73][74][75][76]. These methodologies have indeed become a venerable issue in the practice of the improvement of accuracy and reliability through signal processing systems which have usually been faced with a major challenge of non-linearities and disturbances that have made linear filtering ineffective [77][78][79][80][81][82][83][84][85][86][87][88][89][90][91][92][93][94]. This article deals with both sliding mode and variable structure filters that not only denote areas of great development but and up till date signal processing sphere.…”

Section: Introductionmentioning

confidence: 99%

Sliding mode and variable structure filters for signal processing: a literature review

Obaideen,

Hilal,

Gadsden

et al. 2024

Signal Processing, Sensor/Information Fusion, and Target Recognition XXXIII

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This paper will conduct an exhaustive analysis of sliding mode and variable structure filters, essential methodologies employed in signal processing that solve problems noisy and volatile environments induces. This study brings into focus the very foundations and practicality of interference filters by professional exploration of the theoretical basis, the extent of practical implementation, and the present research frontiers. It also emphasizes the critical role these filters play in making signal processing system more precise, adaptable, and resilient. The Sliding mode and the variable structure filters are optimal in the field of nonlinear problems that are augmented by interferences. These are what their purpose in noise reduction, error minimization and the system stability is. Review encompasses a wide range of applications, from robotics, aerospace to telecommunication with the aim to emphasis the variety and successfully of the filtering techniques when the signal processing is carried out in complex situations. The synthesis of the most recent achievements of the technology and discovery of the potential future directions passed down the concept of this work. The aim is to provide a push to developers to promote the implementation of the advanced application-specific solutions. And this discussion also demonstrates the flexible character that helps meet the demands of dynamic signal processing environments, forming the foundation for the next advanced systems that are adaptive and robust.

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