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Lingjiang Tao
With an El Niño prediction model, an advanced approach of conditional nonlinear optimal perturbation (CNOP) is used to reveal the maximum impacts of the errors occurring in initial conditions (ICs) and model parameters (MPs) on the El Niño predictions. T...
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Xudong Han, Yongling Fu, Yan Wang, Mingkang Wang and Deming Zhu
The control accuracy and stability of the electrohydrostatic actuator (EHA) are directly impacted by parameter uncertainty, disturbance uncertainty, and non-matching disturbance, which negatively impacts aircraft rudder maneuvering performance and even r...
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Nikhil Iyengar, Dushhyanth Rajaram and Dimitri Mavris
Uncertainties in the atmosphere and flight conditions can drastically impact the performance of an aircraft and result in certification delays. However, uncertainty propagation in high-fidelity simulations, which have become integral to the design proces...
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Nadir Abbas, Zeshan Abbas and Xiaodong Liu
The rapid expansion of the Internet and communication technologies is leading to significant changes in both society and the economy. This development is driving the evolution of smart cities, which utilize cutting-edge technologies and data analysis to ...
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Helong Shen, Yong Yin and Xiaobin Qian
In this paper, under parametric uncertainties and complex disturbances, a leader?follower formation control strategy based on accurate disturbance observer (ADO) and a novel fixed-time fast terminal sliding mode (FTFTSM) control for unmanned surface vehi...
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Ali Akbar Kekha Javan, Assef Zare and Roohallah Alizadehsani
This study investigates multiple synchronizations of distributed fractional-order chaotic systems. These systems consider unknown parameters, disturbance, and time delays. A robust adaptive control method is designed for multistage distributed fractional...
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Viswa Narayanan Sankaranarayanan, Sumeet Satpute and George Nikolakopoulos
This article proposes an adaptive controller for a quadrotor UAV for carrying unknown payloads while tracking any trajectory. The proposed adaptive controller is robust to modeling uncertainties and does not require any a priori knowledge of the bounds o...
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Xuelian Xiao, Jianguo Lv, Yuhua Chang, Jinzhou Chen and Hongwen He
Proton exchange membrane fuel cells (PEMFC) are considered a promising solution for renewable energy application. To meet industrial requirements, the power source consisting of PEMFC is required to be power regulator to generate a stable and desired cur...
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Seif-El-Islam Hasseni, Latifa Abdou
Pág. 98 - 111
This article investigates the robust stabilization of the rotational subsystem of a quadrotor against external inputs (disturbances, noises, and parametric uncertainties) by the LFT-based LPV technique. By establishing the LPV attitude model, the LPV rob...
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Filiberto Muñoz, Jorge S. Cervantes-Rojas, Jose M. Valdovinos, Omar Sandre-Hernández, Sergio Salazar and Hugo Romero
This research presents a way to improve the autonomous maneuvering capability of a four-degrees-of-freedom (4DOF) autonomous underwater vehicle (AUV) to perform trajectory tracking tasks in a disturbed underwater environment. This study considers four se...
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