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Hai Wang

Researcher at Murdoch University

Publications -  151
Citations -  2808

Hai Wang is an academic researcher from Murdoch University. The author has contributed to research in topics: Computer science & Sliding mode control. The author has an hindex of 18, co-authored 98 publications receiving 1319 citations. Previous affiliations of Hai Wang include Hefei University of Technology & Swinburne University of Technology.

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Robust sliding mode control for Steer-by-Wire systems with AC motors in road vehicles

TL;DR: In this paper, the modeling of steer-by-wire (SbW) systems is further studied, and a sliding mode control scheme for the SbW systems with uncertain dynamics is developed, demonstrating the strong robustness with respect to large and nonlinear system uncertainties.
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Robust Motion Control of a Linear Motor Positioner Using Fast Nonsingular Terminal Sliding Mode

TL;DR: In this article, the authors proposed a fast nonsingular terminal sliding mode (FNTSM) controller for linear motor (LM)-based direct drive to provide high speed and high precision performance.
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Asynchronous Fault Detection for Interval Type-2 Fuzzy Nonhomogeneous Higher-level Markov Jump Systems with Uncertain Transition Probabilities

TL;DR: Based on Lyapunov theory, the existence of the designed asynchronous IT2F filter and the dissipativity of the filter error system can be well ensured and the simulation study on a quarter-car suspension system verifies that the design can detect faults without error alarms.
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Continuous Fast Nonsingular Terminal Sliding Mode Control of Automotive Electronic Throttle Systems Using Finite-Time Exact Observer

TL;DR: A practical tracking control scheme of an AET system is developed using a continuous fast nonsingular terminal sliding mode (CFNTSM) technique based on uncertainty observer, and the closed-loop stability and finite-time convergence are presented based on the Lyapunov stability theory.
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Design and Implementation of Adaptive Terminal Sliding-Mode Control on a Steer-by-Wire Equipped Road Vehicle

TL;DR: It is shown that the developed ATSM controller can drive the closed-loop error dynamics to converge to zero in a finite time, where adaptive laws are applied to estimate the uncertain bounds of the system parameters and disturbances in Lyapunov sense.