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Command Filter-Based Adaptive Fuzzy Finite-Time Output Feedback Control of Nonlinear Electrohydraulic Servo System

📅 Published: January 1, 2022 👤 Jiafeng Li, Ruihang Ji, Xiaoling Liang et al. 📖 IEEE Transactions on Instrumentation and Measurement 📊 656 citations
AI-Generated Summary

In this paper, the command filter-based adaptive fuzzy finite-time output feedback control (FOFC) is investigated for the Electro-hydraulic servo system. Moreover, a command filter is introduced to avoid the explosion of complexity in the backstepping procedure, where a compensation mechanism is developed to compensate for filter errors.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

Key Findings
  • 1 For the uncertainties in the system, we utilize the fuzzy logic systems (FLSs) to estimate these uncertain nonlinearities and fuzzy state observer is established to approximate the unmeasurable hydraulic cylinder stem speed and the internal cylinder force.
  • 2 Then, a command filter-based finite time output feedback control is proposed to achieve high tracking precision, where the tracking errors can be regulated into a small neighborhood around the equilibrium proved by the Lyapunov finite-time stability theory.
  • 3 Moreover, a command filter is introduced to avoid the explosion of complexity in the backstepping procedure, where a compensation mechanism is developed to compensate for filter errors.
Why It Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

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Article Details
Source OpenAlex
Category 🤖 Artificial Intelligence
Published Jan 1, 2022
Journal IEEE Transactions on Instrumentation and Measurement
DOI 10.1109/tim.2022.3218574
Citations 656
Authors Jiafeng Li, Ruihang Ji, Xiaoling Liang, Shuzhi Sam Ge, Hao Yan