Dr Hai Wang received his PhD degree from Swinburne University of Technology (SUT), Australia, in electrical and electronic engineering. He is currently the Associate Professor of Electrical Engineering, Academic Chair of Intelligent Industrial Control and Autonomous Systems Engineering, and Director of Advanced Robotics and Autonomous Systems Laboratory, in the School of Engineering and Energy, at Murdoch University, Perth, Australia. His research interests are in sliding mode control and observer, adaptive control, robotics and mechatronics, neural networks, nonlinear systems, vehicle dynamics & control, industry 4.0 and smart agriculture.

• Horizontal Plane Trajectory Tracking of Underwater Vehicle based on Exponential Backstepping and Continuous Sliding Mode Control.- Adaptive NN Based Secure Control for Disturbed Euler Lagrange Systems with DoS Attacks.- Adaptive Neural Network Based Anti-Disturbance Formation Control of Multi Agent Systems.- Adaptive Pinning Synchronization of Dynamical Complex Networks with Negative Weights and Multiple Sizes of Delays.- Fuzzy Hybrid Observer based Fault Estimation for Eular Lagrange Systems with Aperiodic Measurements.- Sampled Data Output Feedback Control for Path Tracking of Unmanned Agricultural Vehicles.- An Embedded Collision free Formation Control Scheme for An Airground multi robot System with Disturbances.- Improving Bidirectional RRT Path Planning with Target Oriented Sampling and Cubic Curve Smoothing.

Dr Hai Wang received his PhD degree from Swinburne University of Technology (SUT), Australia, in electrical and electronic engineering. He is currently the Associate Professor of Electrical Engineering, Academic Chair of Intelligent Industrial Control and Autonomous Systems Engineering, and Director of Advanced Robotics and Autonomous Systems Laboratory, in the School of Engineering and Energy, at Murdoch University, Perth, Australia. His research interests are in sliding mode control and observer, adaptive control, robotics and mechatronics, neural networks, nonlinear systems, vehicle dynamics & control, industry 4.0 and smart agriculture.

• Horizontal Plane Trajectory Tracking of Underwater Vehicle based on Exponential Backstepping and Continuous Sliding Mode Control.- Adaptive NN Based Secure Control for Disturbed Euler Lagrange Systems with DoS Attacks.- Adaptive Neural Network Based Anti-Disturbance Formation Control of Multi Agent Systems.- Adaptive Pinning Synchronization of Dynamical Complex Networks with Negative Weights and Multiple Sizes of Delays.- Fuzzy Hybrid Observer based Fault Estimation for Eular Lagrange Systems with Aperiodic Measurements.- Sampled Data Output Feedback Control for Path Tracking of Unmanned Agricultural Vehicles.- An Embedded Collision free Formation Control Scheme for An Airground multi robot System with Disturbances.- Improving Bidirectional RRT Path Planning with Target Oriented Sampling and Cubic Curve Smoothing.