Multiobjective Heterogeneous Asymmetric Sliding Mode Control of Nonlinear Connected Autonomous Vehicles
Author:
Affiliation:
1. School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong, NSW, Australia
2. School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
Funder
Australian Research Council’s Discovery Projects Funding Scheme
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09765987.pdf?arnumber=9765987
Reference32 articles.
1. Vehicle Dynamics Model for Predicting Maximum Truck Acceleration Levels
2. Distributed Platoon Control Under Topologies With Complex Eigenvalues: Stability Analysis and Controller Synthesis
3. ℒ2-Gain analysis and control of uncertain nonlinear systems with bounded disturbance inputs
4. Pareto Optimal Information Flow Topology for Control of Connected Autonomous Vehicles
5. Evaluating the performance of vehicular platoon control under different network topologies of initial states
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1. Fault-Tolerant Controller Design with Connectivity Maintenance in Fractional-Order Multi-Agent Systems Using a Super-Twisting Sliding Mode Algorithm;Franklin Open;2024-09
2. Lane-Changing Behavior’s Impact on Platoon Dispersion in Mixed Autonomous Vehicle Traffic: Insights from Simulation;SAE International Journal of Connected and Automated Vehicles;2024-07-01
3. Discrete multi-objective switching topology sliding mode control of connected autonomous vehicles with packet loss;IEEE Transactions on Intelligent Vehicles;2022
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