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Kamal Rsetam, Yusai Zheng, Zhenwei Cao and Zhihong Man
In this paper, an adaptive active disturbance rejection control is newly designed for precise angular steering position tracking of the uncertain and nonlinear SBW system with time delay communications. The proposed adaptive active disturbance rejection ...
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Jingwen Yang and Ruohua Zhou
Whisper speaker recognition (WSR) has received extensive attention from researchers in recent years, and it plays an important role in medical, judicial, and other fields. Among them, the establishment of a whisper dataset is very important for the study...
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Chengxi Wu, Yuewei Dai, Liang Shan and Zhiyu Zhu
This paper focuses on developing a data-driven trajectory tracking control approach for autonomous underwater vehicles (AUV) under uncertain external disturbance and time-delay. A novel model-free adaptive predictive control (MFAPC) approach based on a f...
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Mustafa Can Gursesli, Mehmet Emin Selek, Mustafa Oktay Samur, Mirko Duradoni, Kyoungju Park, Andrea Guazzini and Antonio Lanatà
The rapid development of technology has led to the implementation of data-driven systems whose performance heavily relies on the amount and type of data. In the latest decades, in the field of bioengineering data management, among others, eye-tracking da...
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Muhammad Amir Fawwaz, Kishore Bingi, Rosdiazli Ibrahim, P. Arun Mozhi Devan and B. Rajanarayan Prusty
Managing industrial processes in real-time is challenging due to the nonlinearity and sensitivity of these processes. This unpredictability can cause delays in the regulation of these processes. The PID controller family is commonly used in these situati...
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Wenbiao Wang, Qianqian Zhang and Kai Zheng
Industrial system operations usually have dynamic characteristics. If these characteristics are ignored, the performance of fault detection degrades. Herein, the fault-detection algorithm of dynamic global?local preserving projection (DGLPP) is employed ...
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Kochupillai Selvaraj Arikumar, Sahaya Beni Prathiba, Shakila Basheer, Rajalakshmi Shenbaga Moorthy, Ankur Dumka and Mamoon Rashid
Vehicle-to-everything (V2X) in networks is a communication technology that allows vehicles to communicate with their surroundings. Traffic congestion and unawareness of the travel of emergency vehicles (EVs) lead to delays in reaching the destination of ...
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Weixuan Wang, Jingbo Peng and Yu Zhang
This paper presents a study on the modeling and control of an aero-engine within the full flight envelope using the Takagi?Sugeno (T-S) fuzzy theory. A highly accurate aero-engine small deviation state variable model (SVM) was developed using the adaptiv...
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Li-Jun Ouyang, Bing-Qing Xie and Bin Ding
In this paper, approximate lag synchronization (LS) and anticipating synchronization (AS) between two unidirectionally coupled hyperchaotic Chen systems without time-delay coupling are analytically investigated. Firstly, the synchronization condition for...
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Xiaodong Lv, Guangming Zhang, Zhiqing Bai, Xiaoxiong Zhou, Zhihan Shi and Mingxiang Zhu
In this paper, an adaptive neural network global fractional order fast terminal sliding mode model-free intelligent PID control strategy (termed as TDE-ANNGFOFTSMC-MFIPIDC) is proposed for the hypersonic vehicle ground thermal environment simulation test...
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