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Neuro-fuzzy self-tuning of PID control for semiglobal exponential tracking of robot arms

  • Published:2014-12 Issue: Volume:25 Page:139-148
  • ISSN:1568-4946
  • Container-title:Applied Soft Computing
  • language:en
  • Short-container-title:Applied Soft Computing

Author:

Armendariz Jorge,Parra-Vega Vicente,García-Rodríguez Rodolfo,Rosales Sergio

Publisher

Elsevier BV

Subject

Software

Reference42 articles.

1. PID Self-tuning Controller for aluminum rolling mill;Brown;IEEE Trans. Ind. Electron.,1993

2. Design of robust digital PID controller for H-bridge soft-switching boost converter;Mummadi;IEEE Trans. Ind. Electron.,2011

3. A method for improving the robustness of PID control;Skoczowski;IEEE Trans. Ind. Electron.,2005

4. PID control system analysis, design, and technology;Ang;IEEE Trans. Control Syst. Technol.,2005

5. Semiglobal stability of saturated linear PID control for robot manipulators;Alvarez-Ramirez;Automatica,2003

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1. Nussbaum Function Based PID Approach for Tracking Control of Robot Manipulators;2024 32nd Mediterranean Conference on Control and Automation (MED);2024-06-11

2. Actor-Critic Learning of Variable Damping Injection for Quadrotor Attitude Robust Control;2023 20th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE);2023-10-25

3. Fuzzy gain scheduling PID control of a hybrid robot based on dynamic characteristics;Mechanism and Machine Theory;2023-06

4. Enhancement of Embedded Controller Firebase Database LabView Interactive IoT Based Production Natural Parameters Monitoring;2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS);2022-11-24

5. High-order robust control design and experiment for a class of uncertain serial manipulators;Journal of Vibration and Control;2022-10-11
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