The need for a more effective and robust control method

The gap

Evidence profile

Sourced from the stated research gap and stated challenges and future work of the source papers, classified as general, spanning 4 journals.

Supporting evidence — 5 representative gaps

• Anti-Disturbance Trajectory Tracking Control for Quadrotor UAVs Based on Radial Basis Function Neural Network and Integral Terminal Sliding Mode Control (2026) · Mathematics · doi

  Current research on UAV control has proposed algorithms that exhibit good disturbance rejection capabilities for small and weak disturbances, but their effectiveness decreases significantly as the disturbance magnitude increases. The need for a control strategy that can effectively address the issue of significant degradation in trajectory tracking control of quadrotor UAVs due to unknown disturbances.

  generalstated research gap
  Keywords: current research uav control has proposed algorithms exhibit
• Anti-Disturbance Trajectory Tracking Control for Quadrotor UAVs Based on Radial Basis Function Neural Network and Integral Terminal Sliding Mode Control (2026) · Mathematics · doi

  External environmental factors, especially unpredictable external disturbances such as wind forces. The underactuated, strongly coupled, and nonlinear nature of the quadrotor UAV system. The need for a control strategy that can effectively address the issue of significant degradation in trajectory tracking control due to unknown disturbances.

  generalstated challenges
  Keywords: external environmental factors especially unpredictable disturbances wind forces
• Ultra-Local Model-Based Finite-Time Sliding Mode Control Using Neural Network Observer for Quadrotor Position and Attitude (2026) · Actuators · doi

  The need for a more effective and robust control method that can handle uncertainties and external disturbances in quadrotor UAVs. The limitations of existing control methods in addressing the control challenge. The potential of ultra-local model techniques and adaptive neural network observers in improving control performance.

  generalstated research gap
  Keywords: need effective robust control method handle uncertainties external
• A novel approach to UAV control: Fuzzy PID-based ANFIS (FPIDANFIS) (2026) · PLOS One · doi

  This paper presents a novel control strategy for quadrotor UAV trajectory tracking, demonstrating enhanced accuracy and robustness across a range of operating conditions. The novelty of the proposed approach lies in leveraging historical data from a baseline FPID controller to design the new FPIDANFIS controller. Specifically, input–output data from the FPID, with the tracking error and its derivative as inputs and the FPID control signals as outputs, were used to train an ANFIS model, which then generates the adaptive FPIDANFIS controller. Comparative analysis shows that FPIDANFIS consis- tently outperforms the baseline FPID, effectively handling disturbances and system uncertainties. While the approach sig- nificantly improves adaptability and reliability, further refinements are needed to enhance control consistency and extend applicability to real-world UAV operations. Future work will focus on improving the controller’s adaptability and validating its performance under practical flight conditions.

  generalfuture workevidence 5/5
  Keywords: fpid controller control fpidanfis tracking conditions approach baseline adaptability presents novel strategy quadrotor trajectory demonstrating
• Design and Validation of an IoT-Enabled Safety Monitoring System for Agricultural UAV Operations (2026) · Journal of Trends in Computer Science and Smart Technology · doi

  Current flight controllers primarily focus on navigation and stabilization, with only limited ability to monitor real-time safety. There is a need for a low-cost, real-time safety monitoring platform for agricultural UAVs. The existing systems do not provide a scalable, cost-effective, and easily implemented solution for safety monitoring and early detection of abnormal flight conditions.

  generalstated research gapevidence 5/5
  Keywords: current flight controllers primarily focus navigation stabilization only

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