Challenges in the Guidance, Navigation and Control of Autonomous and Transport Vehicles, 2nd Edition
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Transportation and Future Mobility".
Deadline for manuscript submissions: closed (31 December 2024) | Viewed by 2712
Special Issue Editors
Interests: fault tolerance; aircraft control; estimation methods; FDIR; UAV; guidance
Special Issues, Collections and Topics in MDPI journals
Interests: control theory; mathematical modelling; energy; healthcare technology
Special Issues, Collections and Topics in MDPI journals
Interests: flight mechanics; control; UAV; spacecraft; autonomous aircraft; recovery from actuator failures
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, transportation systems have considerably evolved in terms of safety, resulting in increased demands on autonomy, performance and energy efficiency. Some of the main research challenges to meet these requirements are rooted in the development of safe and efficient guidance, navigation and control (GNC) systems for different types of transportation vehicles, ranging from mobile robots to automotive and aerospace vehicles, including manned aircraft, different sizes of unmanned aerial vehicles (UAVs), and spacecraft. Increasingly, autonomous vehicles will require advanced sense-and-avoid technologies and algorithms, the ability to autonomously handle constraints and recover from faults, and an efficient combination of manned and automated control systems. Optimal and robust navigation and control systems are required to meet the challenging performance and energy requirements of the modern day, with computational demand rocketing in increasingly complex vehicle systems. System identification and adaptive control methods are also needed to allow ground and air vehicles to adapt their control algorithms to changes in model parameters. Efficient methods are also needed to combine pilot commands and automation under constraints, for example, in aircraft where flight envelope protection increasingly accounts for pilot handling requirements. Increased levels of autonomy will also require advanced multimode and multiple-input multiple-output (MIMO) navigation and control system architectures, including hierarchical mode-switching control strategies and sensor fusion-based navigation algorithms. Computationally efficient optimal and artificial intelligence-based methods are also increasingly employed for autonomous vehicle path planning and following in increasingly challenging environments.
This Special Issue will, therefore, bring together papers which describe recent advances in guidance, navigation and control systems for a large range of transportation and autonomous vehicles. Papers with theoretical, simulation and practical experimental results in this field are encouraged.
Dr. Nadjim Horri
Prof. Dr. William Holderbaum
Dr. Fabrizio Giulietti
Guest Editors
Manuscript Submission Information
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Keywords
- autonomous
- aircraft
- automotive
- robot
- guidance
- navigation
- control
- optimal
- robust
- adaptive
- system identification
- constraints
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