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March 24, 2026Transactions of the Institute of Measurement and Control0 citations

Enhancing slow-sampled loops in input multi-rate digital tracking control systems: An overview

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QDQianwen DuanLZLuyao ZhangJZJincong Zhu

Key Points

  • The aim is to address the challenges of dynamic performance in slow-sampled loops compared to fast-sampled loops in tracking control systems.
  • Reviewed literature on error-based tracking control systems
  • Examined slow-sampled image sequences as fast-sampled signals
  • Analyzed control strategies using slow-sampling sensor data
  • Identified performance limitations in slow-sampled loops
  • Proposed research directions for enhancing slow-sampled tracking
  • Discussed potential advantages and challenges of suggested methods

Abstract

In error-based tracking control systems and reference signal tracking systems, the dynamic performance of slow-sampled loops is often inferior to that of fast-sampled loops. This paper focuses on the challenges encountered in such systems when performing error-based tracking tasks and reviews the methods proposed in the literature to address these issues. In particular, it examines how slow-sampled image sequences can be effectively treated as fast-sampled signals for closed-loop tracking, and how efficient and robust control strategies can be designed using slow-sampling sensor data. This paper provides an overview of the framework for input multi-rate digital tracking control systems and presents a comprehensive review, highlighting two research directions aimed at improving the performance of slow-sampled loops and addressing inherent challenges. Finally, it critically evaluates the applicability of these research directions and discusses their limitations as well as opportunities for future investigation.

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Cite This Study

Duan et al. (2026) studied this question.

synapsesocial.com/papers/69c2298daeb5a845df0d41dahttps://doi.org/10.1177/01423312261428512
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