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Steven W. Su
Researcher at University of Technology, Sydney
Publications - 284
Citations - 3911
Steven W. Su is an academic researcher from University of Technology, Sydney. The author has contributed to research in topics: Control theory & Nonlinear system. The author has an hindex of 26, co-authored 280 publications receiving 2985 citations. Previous affiliations of Steven W. Su include Commonwealth Scientific and Industrial Research Organisation & The George Institute for Global Health.
Papers
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Journal ArticleDOI
Backstepping Control of Electro-Hydraulic System Based on Extended-State-Observer With Plant Dynamics Largely Unknown
TL;DR: The effectiveness of the proposed control for the suppression of largely unknown disturbances has been demonstrated by comparative experimental study, which indicates the proposed approach can achieve better dynamic performance on the motion control of two-degree-of-freedom robotic arm.
Journal ArticleDOI
Identification and Control for Heart Rate Regulation During Treadmill Exercise
TL;DR: A novel integrated approach for the identification and control of Hammerstein systems to achieve desired heart rate profile tracking performance for an automated treadmill system and the proposed algorithm achieves much better heart rate tracking performance.
Journal ArticleDOI
Nonlinear Modeling and Control of Human Heart Rate Response During Exercise With Various Work Load Intensities
TL;DR: The results demonstrated that the proposed computer-controlled treadmill system regulated the HR of the experimental subjects according to two different exercising HR profiles, indicating that it can play an important role in the design of exercise protocols for individuals.
Proceedings ArticleDOI
Investigation of window size in classification of EEG-emotion signal with wavelet entropy and support vector machine
Henry Candra,Mitchell Yuwono,Rifai Chai,A. M. Ardi Handojoseno,Irraivan Elamvazuthi,Hung T. Nguyen,Steven W. Su +6 more
TL;DR: An important discovery that information on emotions contained in the EEG signal may be better described in term of wavelets and in shorter time segments is made.
Journal ArticleDOI
Neural Adaptive Backstepping Control of a Robotic Manipulator With Prescribed Performance Constraint
TL;DR: This paper presents an adaptive neural network (NN) control of a two-degree-of-freedom manipulator driven by an electrohydraulic actuator that can replace the preknown dynamics in the backstepping iteration.