What is it about?
This review comprehensively examines UAV control systems, covering different UAV types, control architectures, key technologies, actuators, sensors, and fault management. It highlights recent advances in autonomous navigation, swarm UAVs, AI/ML integration, and hybrid control strategies that improve performance. The article also discusses applications across multiple industries, challenges in existing control algorithms, and future research directions, including hybrid models, hardware-in-the-loop (HIL) simulations, brain–computer interfaces (BCIs), optical communication, sustainable UAV operations, and evolving regulatory frameworks.
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Why is it important?
It is important because it summarizes the latest advances in UAV control systems, identifies current challenges, and highlights future research directions such as AI, hybrid control, and autonomous technologies, providing a valuable guide for researchers and engineers.
Perspectives
The review suggests that future UAV control systems will become more intelligent, autonomous, and reliable through AI, hybrid control methods, advanced communication technologies, HIL simulations, and sustainable design, enabling broader and more efficient real-world applications.
Jamal Hussain Arman
Read the Original
This page is a summary of: A Comprehensive Review on UAV Control Systems: From Linear to Intelligent Approaches, ACM Computing Surveys, June 2026, ACM (Association for Computing Machinery),
DOI: 10.1145/3809483.
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