Nonlinear Altitude Control of a Quadcopter Drone Using Interval Type-2 Fuzzy Logic. - Ayad Al-Mahturi; Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti (SSCI, 2018)

An Intelligent Control of an Inverted Pendulum Based on an Adaptive Interval Type-2 Fuzzy Inference System. - Ayad Al-Mahturi; Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti (FUZZ-IEEE, 2019)

Online Takagi-Sugeno Fuzzy Identification of a Quadcopter Using Experimental Input-Output Data. - Ayad Al-Mahturi; Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti; Md Meftahul Ferdaus (SSCI, 2019)

A Simplified Model-Free Self-Evolving TS Fuzzy Controller for Nonlinear Systems with Uncertainties. - Ayad Al-Mahturi; Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti (EAIS, 2020)

Online System Identification for Nonlinear Uncertain Dynamical Systems Using Recursive Interval Type-2 TS Fuzzy C-means Clustering. - Ayad Al-Mahturi; Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti (SSCI, 2020)

Self-Learning in Aerial Robotics Using Type-2 Fuzzy Systems: Case Study in Hovering Quadrotor Flight Control. - Ayad Al-Mahturi; Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti (IEEE Access, 2021)

Development of Self-Learning Type-2 Fuzzy Systems for System Identification and Control of Autonomous Systems. - Ayad Al-Mahturi (2021)

A Robust Self-Adaptive Interval Type-2 TS Fuzzy Logic for Controlling Multi-Input-Multi-Output Nonlinear Uncertain Dynamical Systems. - Ayad Al-Mahturi; Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti (IEEE Trans. Syst. Man Cybern. Syst., 2022)

A Novel Evolving Type-2 Fuzzy System for Controlling a Mobile Robot under Large Uncertainties. - Ayad Al-Mahturi; Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti (Robotics, 2023)