EngineeringEnvironmental Science

Mohammad Hedayati Khodayari, S. Balochian

2015.3.18JOURNAL OF MARINE SCIENCE AND TECHNOLOGY

DOI: 10.1007/s00773-015-0312-7

tlooto Summary

Results show that the proposed self-adaptive fuzzy PID controller is not only robust, but also gives excellent dynamic, stunning steady-state characteristics and robust stability compared with a classically tuned PID controller.

Abstract

Abstract is not available.

Citation format

KHODAYARI, Mohammad Hedayati; BALOCHIAN, S. Modeling and control of autonomous underwater vehicle (AUV) in heading and depth attitude via self-adaptive fuzzy PID controller. JOURNAL OF MARINE SCIENCE AND TECHNOLOGY, 2015, 20: 559–578.