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Xiaobin Qian, Helong Shen, Yong Yin and Dongdong Guo
In this paper, we present a novel nonlinear model predictive control (NMPC) algorithm based on the Laguerre function for dynamic positioning ships to solve the problems of input saturation, unknown time-varying disturbances, and heavy computation. The no...
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Che-Hao Chang, Jason Lin, Jia-Wei Chang, Yu-Shun Huang, Ming-Hsin Lai and Yen-Jen Chang
Recently, data-driven approaches have become the dominant solution for prediction problems in agricultural industries. Several deep learning models have been applied to crop yield prediction in smart farming. In this paper, we proposed an efficient hybri...
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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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Mustapha Ikirri, Said Boutaleb, Ismael M. Ibraheem, Mohamed Abioui, Fatima Zahra Echogdali, Kamal Abdelrahman, Mouna Id-Belqas, Tamer Abu-Alam, Hasna El Ayady, Sara Essoussi and Farid Faik
An assessment of potential groundwater areas in the Ifni basin, located in the western Anti-Atlas range of Morocco, was conducted based on a multicriteria analytical approach that integrated a set of geomorphological and hydroclimatic factors influencing...
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Simone Becarelli, Giacomo Bernabei, Giovanna Siracusa, Diego Baderna, Monica Ruffini Castiglione, Giampiero De Simone and Simona Di Gregorio
To accelerate the depletion of total petroleum hydrocarbons, a hydrocarburoclastic ascomycetes, Lambertella sp. MUT 5852, was bioaugmented to dredged sediments co-composting with a lignocellulosic matrix. After only 28 days of incubation, a complete depl...
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Jorge Bautista-Hernández and María Ángeles Martín-Prats
Cybersecurity plays a relevant role in the new digital age within the aerospace industry. Predictive algorithms are necessary to interconnect complex systems within the cyberspace. In this context, where security protocols do not apply, challenges to mai...
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Ismaila A. Oyehan, Ajiboye S. Osunleke and Olanrewaju O. Ajani
The dynamics of a quadruple tank system (QTS) represent an extensive class of multivariate nonlinear uncertain systems found in the industry. It has been established that changes in split fractions affect the transmission zero location, thereby altering ...
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Agung Iswadi, Joanne S. Porter, Michael C. Bell, Leuserina Garniati, Robert E. Harris and Gadang Priyotomo
Marine renewable energy holds strategic potential in Indonesia, not only to meet the target of renewable energy share in the national energy mix but also to provide equal access to clean energy throughout the archipelago. Marine energy in Indonesia is st...
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Neven Had?ic, Viktor Lo?ar, Tihomir Opetuk and Zoran Kunkera
Assembly lines are one of the cornerstones of modern production systems, significantly affecting the global society, economy, and other ancillary sectors. This is why the evaluation of assembly lines is particularly significant. Hence, the research on mo...
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Wilson Tsakane Mongwe, Rendani Mbuvha and Tshilidzi Marwala
Markov chain Monte Carlo (MCMC) techniques are usually used to infer model parameters when closed-form inference is not feasible, with one of the simplest MCMC methods being the random walk Metropolis?Hastings (MH) algorithm. The MH algorithm suffers fro...
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