Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0 (2024)
Book
Mercorelli, P., Zhang, W., Nemati, H., & Zhang, Y. (Eds.). (2024). Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0. Elsevier. https://doi.org/10.1016/c2021-0-02869-8

Modeling, Identification, and Control for Cyber-Physical Systems Towards Industry 4.0 studies and analyzes the role of algorithms in identifying and controlling such a system towards Industry 4.0, which is the digital transformation of manufacturing... Read More about Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0.

Industry 4.0 more than a challenge in modeling, identification, and control for cyber-physical systems (2024)
Book Chapter
Mercorelli, P., Nemati, H., & Zhu, Q. (2024). Industry 4.0 more than a challenge in modeling, identification, and control for cyber-physical systems. In P. Mercorelli, W. Zhang, H. Nemati, & Y. Zhang (Eds.), Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0 (1 - 14). Elsevier. https://doi.org/10.1016/C2021-0-02869-8

Modeling, Identification, and Control for Cyber-Physical Systems Towards Industry 4.0 studies and analyzes the role of algorithms in identifying and controlling such a system towards Industry 4.0, which is the digital transformation of manufacturing... Read More about Industry 4.0 more than a challenge in modeling, identification, and control for cyber-physical systems.

Multibody simulations of distributed flight arrays for Industry 4.0 applications (2024)
Book Chapter
Yip, L., Nemati, H., Mercorelli, P., & Zhu, Q. (2024). Multibody simulations of distributed flight arrays for Industry 4.0 applications. In Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0 (247 - 278). Elsevier. https://doi.org/10.1016/C2021-0-02869-8

Distributed Flight Arrays (DFAs) are an experimental type of aerial, multi-rotor, vehicle capable of land-based navigation and cooperative aerial flight involving physically docking with N-number of other agents forming a larger structure with some d... Read More about Multibody simulations of distributed flight arrays for Industry 4.0 applications.

U-model-based dynamic inversion control for quadrotor UAV systems (2024)
Book Chapter
Lone, A. A., Nemati, H., Zhu, Q., Mercorelli, P., & Narayan, P. (2024). U-model-based dynamic inversion control for quadrotor UAV systems. In Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0 (293-309). Elsevier. https://doi.org/10.1016/C2021-0-02869-8

A Model-Independent Design approach (U-Model) is studied with the example of Quadrotor UAV. A Multiple-Input Multiple-Output (MIMO) dynamic model of a quadrotor UAV is derived, and U-Model-based Dynamic Inverse control approach is used to design a co... Read More about U-model-based dynamic inversion control for quadrotor UAV systems.

Trajectory tracking of a quadrotor using extend state observer based U-model enhanced double sliding mode control (2023)
Journal Article
Li, R., Zhu, Q., Nemati, H., Yue, X., & Narayan, P. (2023). Trajectory tracking of a quadrotor using extend state observer based U-model enhanced double sliding mode control. Journal of The Franklin Institute, 360(4), 3520-3544. https://doi.org/10.1016/j.jfranklin.2022.11.036

This paper develops a novel U-model enhanced double sliding mode controller (UDSMC) for a quadrotor based on multiple-input and multiple-output extended-state-observer (MIMO-ESO). UDSMC is designed using Lyapunov synthesis and Hurwitz stability to no... Read More about Trajectory tracking of a quadrotor using extend state observer based U-model enhanced double sliding mode control.

A new configuration of composite nonlinear feedback control for nonlinear systems with input saturation (2022)
Journal Article
Zhu, Q., Mobayen, S., Nemati, H., Zhang, J., & Wei, W. (2023). A new configuration of composite nonlinear feedback control for nonlinear systems with input saturation. Journal of Vibration and Control, 29(5-6), 1417-1430. https://doi.org/10.1177/10775463211064010

This study proposes a U-control–based Composite Nonlinear Feedback (U-CNF) design procedure. This U-CNF control establishes a double feedback loop framework for generalisation and simplification in designing the CNF control systems. Two controllers,... Read More about A new configuration of composite nonlinear feedback control for nonlinear systems with input saturation.