Wang Proceedings of the First International Conference on Advanced Robotics, Control, and Artificial Intelligence

ICARCAI 2024, 9–12 December, Perth, Australia
1. Auflage 2025
ISBN: 978-981-965373-7
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 1285 Seiten

Reihe: Lecture Notes in Networks and Systems

This book highlights the latest research developments and outcomes on all aspects of advanced robotics, control and artificial intelligence. Particularly, it not only includes those emerging methodologies and techniques which bridge theoretical studies and applications in all robotics and control systems as well as artificial intelligence, but also involves the practical concerns and challenges encountered and potential solutions in those fields.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Wang, Hai

Inhaltsverzeichnis

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.

Über Autor(innen)

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.