Výsledky vyhledávání - "Control engineering practice"

Review on deep learning techniques for marine object recognition: Architectures and algorithms Autor Wang, Ning, Wang, Yuanyuan, Er, Meng Joo

“…Due to the rapid development of deep learning techniques, numerous frameworks including convolutional neural networks (CNNs), deep belief networks (DBNs) and…”
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Electrochemical modeling and parameterization towards control-oriented management of lithium-ion batteries Autor Liu, Kailong, Gao, Yizhao, Zhu, Chong, Li, Kang, Fei, Minrui, Peng, Chen, Zhang, Xi, Han, Qing-Long

“…Battery management systems based on electrochemical models could achieve more accurate state estimations and efficient battery controls with access to cell…”
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Neural network based adaptive event trigger control for a class of electromagnetic suspension systems Autor Liu, Lei, Li, Xiangsheng, Liu, Yan-Jun, Tong, Shaocheng

“…In this paper, a neural network (NN) based event trigger control problem of electromagnetic active suspension system is solved. Due to the limitation of…”
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Multiple observers based anti-disturbance control for a quadrotor UAV against payload and wind disturbances Autor Guo, Kexin, Jia, Jindou, Yu, Xiang, Guo, Lei, Xie, Lihua

“…This paper presents a multiple observers based anti-disturbance control (MOBADC) scheme against multiple disturbances for a quadrotor unmanned aerial vehicle…”
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1 bit encoding–decoding-based event-triggered fixed-time adaptive control for unmanned surface vehicle with guaranteed tracking performance Autor Song, Xiaona, Wu, Chenglin, Stojanovic, Vladimir, Song, Shuai

“…This paper investigates the fixed-time prescribed performance trajectory tracking control for the unmanned surface vehicle with unknown dynamics and…”
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Disturbance observers and extended state observers for marine vehicles: A survey Autor Gu, Nan, Wang, Dan, Peng, Zhouhua, Wang, Jun, Han, Qing-Long

“…The operation performance of marine vehicles (MVs) is significantly vulnerable to external disturbances induced by wind, waves, and ocean currents in complex…”
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Value iteration and adaptive optimal output regulation with assured convergence rate Autor Jiang, Yi, Gao, Weinan, Na, Jing, Zhang, Di, Hämäläinen, Timo T., Stojanovic, Vladimir, Lewis, Frank L.

“…In this paper, we investigate the learning-based adaptive optimal output regulation problem with convergence rate requirement for disturbed linear…”
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Deep reinforcement learning with shallow controllers: An experimental application to PID tuning Autor Lawrence, Nathan P., Forbes, Michael G., Loewen, Philip D., McClement, Daniel G., Backström, Johan U., Gopaluni, R. Bhushan

“…Deep reinforcement learning (RL) is an optimization-driven framework for producing control strategies for general dynamical systems without explicit reliance…”
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Guidance and control methodologies for marine vehicles: A survey Autor Karimi, Hamid Reza, Lu, Yanyang

“…Offshore mechatronics systems engineering has recently received high attentions in various sectors such as energy, transportation, etc. Specifically, offshore…”
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Parallel PCA–KPCA for nonlinear process monitoring Autor Jiang, Qingchao, Yan, Xuefeng

“…Both linear and nonlinear relationships may exist among process variables, and monitoring a process with such complex relationships among variables is…”
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Observer-based fixed-time continuous nonsingular terminal sliding mode control of quadrotor aircraft under uncertainties and disturbances for robust trajectory tracking: Theory and experiment Autor Mechali, Omar, Xu, Limei, Huang, Ya, Shi, Mengji, Xie, Xiaomei

“…This paper solves an accurate fixed-time attitude and position control problems of a quadrotor UAV system. The aircraft system is subject to nonlinearities,…”
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Adaptive-neural-network-based robust lateral motion control for autonomous vehicle at driving limits Autor Ji, Xuewu, He, Xiangkun, Lv, Chen, Liu, Yahui, Wu, Jian

“…Parametric modeling uncertainties and unknown external disturbance are major concerns in the development of advanced lateral motion controller for autonomous…”
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A dynamic CNN for nonlinear dynamic feature learning in soft sensor modeling of industrial process data Autor Yuan, Xiaofeng, Qi, Shuaibin, Wang, Yalin, Xia, Haibing

“…Hierarchical local nonlinear dynamic feature learning is of great importance for soft sensor modeling in process industry. Convolutional neural network (CNN)…”
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Interpretable machine learning for battery capacities prediction and coating parameters analysis Autor Liu, Kailong, Niri, Mona Faraji, Apachitei, Geanina, Lain, Michael, Greenwood, David, Marco, James

“…Battery manufacturing plays a direct and pivotal role in determining battery performance, which, in turn, significantly affects the applications of…”
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Safe driving envelopes for path tracking in autonomous vehicles Autor Brown, Matthew, Funke, Joseph, Erlien, Stephen, Gerdes, J. Christian

“…One approach to motion control of autonomous vehicles is to divide control between path planning and path tracking. This paper introduces an alternative…”
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Energy-efficient operation by cooperative control among trains: A multi-agent reinforcement learning approach Autor Su, Shuai, Wang, Xuekai, Tang, Tao, Wang, Guang, Cao, Yuan

“…With the ever-increasing operating mileage of urban rail transit systems, a large amount of energy is consumed for train operation, and the energy-saving for…”
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Process fault diagnosis with model- and knowledge-based approaches: Advances and opportunities Autor Li, Weijun, Li, Hui, Gu, Sai, Chen, Tao

“…Fault diagnosis plays a vital role in ensuring safe and efficient operation of modern process plants. Despite the encouraging progress in its research,…”
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Design of cascaded controller based on coyote optimizer for load frequency control in multi-area power systems with renewable sources Autor Abou El-Ela, Adel A., El-Sehiemy, Ragab A., Shaheen, Abdullah M., Diab, Abd El-Gelil

“…Electricity generation from renewable sources is on the rise. The irregular presence of these sources increases the frequency variations induced by the load…”
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Process monitoring for tower pumping units under variable operational conditions: From an integrated multitasking perspective Autor Zhang, Jiusi, Qian, Kun, Luo, Hao, Liu, Yuanhong, Qiao, Xinyu, Xu, Xiaoyi, Tian, Jilun

“…Accurately monitoring the safe operation and dynamometer diagram inference of tower pumping units is crucial for process monitoring on drilling platforms. This…”
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do-mpc: Towards FAIR nonlinear and robust model predictive control Autor Fiedler, Felix, Karg, Benjamin, Lüken, Lukas, Brandner, Dean, Heinlein, Moritz, Brabender, Felix, Lucia, Sergio

“…Over the last decades, model predictive control (MPC) has shown outstanding performance for control tasks from various domains. This performance has further…”
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