Search Results - "Control engineering practice"

Neural network based adaptive event trigger control for a class of electromagnetic suspension systems by 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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Electrochemical modeling and parameterization towards control-oriented management of lithium-ion batteries by 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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Adaptive-neural-network-based robust lateral motion control for autonomous vehicle at driving limits by 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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Review on deep learning techniques for marine object recognition: Architectures and algorithms by 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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Guidance and control methodologies for marine vehicles: A survey by 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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Value iteration and adaptive optimal output regulation with assured convergence rate by 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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Parallel PCA–KPCA for nonlinear process monitoring by 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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Multiple observers based anti-disturbance control for a quadrotor UAV against payload and wind disturbances by 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 by 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 by 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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Energy-efficient operation by cooperative control among trains: A multi-agent reinforcement learning approach by 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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Data-driven methods for building control — A review and promising future directions by Maddalena, Emilio T., Lian, Yingzhao, Jones, Colin N.

“…A review of the heating, ventilation and air-conditioning control problem for buildings is presented with particular emphasis on its distinguishing features…”
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Time-varying formation control for unmanned aerial vehicles with switching interaction topologies by Dong, Xiwang, Zhou, Yan, Ren, Zhang, Zhong, Yisheng

“…Time-varying formation control problems for unmanned aerial vehicle (UAV) swarm systems with switching interaction topologies are studied. Necessary and…”
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A dynamic CNN for nonlinear dynamic feature learning in soft sensor modeling of industrial process data by 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 by 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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Predefined-time formation tracking control of networked marine surface vehicles by Liang, Chang-Duo, Ge, Ming-Feng, Liu, Zhi-Wei, Ling, Guang, Liu, Feng

“…This paper investigates the predefined-time formation tracking control problem of networked marine surface vehicles (NMSVs) with external disturbances. A novel…”
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General error-based active disturbance rejection control for swift industrial implementations by Madonski, R., Shao, S., Zhang, H., Gao, Z., Yang, J., Li, S.

“…In this article, a typical 2DOF active disturbance rejection control (ADRC) design is restructured into a 1DOF form, thus making it compatible with standard…”
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Cloud-based mission control of USV fleet: Architecture, implementation and experiments by Wang, Zhao, Yang, Shaolong, Xiang, Xianbo, Vasilijević, Antonio, Mišković, Nikola, Nađ, Đula

“…In this paper, a cloud-based mission control architecture is proposed to achieve flexible remote access and coordinated mission control among a fleet of…”
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Integrated nonlinear model predictive control for automated driving by Chowdhri, Nishant, Ferranti, Laura, Iribarren, Felipe Santafé, Shyrokau, Barys

“…This work presents a Nonlinear Model Predictive Control (NMPC) scheme to perform evasive maneuvers and avoid rear-end collisions. Rear-end collisions are among…”
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Ultra-local model predictive control: A model-free approach and its application on automated vehicle trajectory tracking by Wang, Zejiang, Wang, Junmin

“…Model predictive control (MPC) has been extensively utilized in the automotive applications, such as autonomous vehicle path planning and control,…”
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