JOURNAL ARTICLE

Quantization Tracking Control Based on Disturbance Observer for the Unmanned Aerial Vehicles

Abstract

In this paper, we propose a quantized tracking control scheme for the Unmanned Aerial Vehicles with the external disturbances. A disturbance observer is proposed to handle the disturbances and a commanded filter backstepping technique is adopted to reduce the computational complexity. The error compensation signals are used to reduce the influence of filtering errors. The hysteresis uniform switching bounded quantization mechanism is introduced in the control channel to reduce the data transmission burden and resource usage as well. Finally, the effectiveness of the proposed method is verified by stability proof and numerical simulation.

Keywords:
Backstepping Control theory (sociology) Quantization (signal processing) Computer science Bounded function Compensation (psychology) Observer (physics) Tracking error Control engineering Control (management) Artificial intelligence Engineering Adaptive control Algorithm Mathematics

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Topics

Adaptive Control of Nonlinear Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Distributed Control Multi-Agent Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
Stability and Control of Uncertain Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
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