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Neural network based adaptive event trigger control for a class of electromagnetic suspension systems
Liu, Lei, Li, Xiangsheng, Liu, Yan-Jun, Tong, Shaocheng
Published in Control engineering practice (01.01.2021)
Published in Control engineering practice (01.01.2021)
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Electrochemical modeling and parameterization towards control-oriented management of lithium-ion batteries
Liu, Kailong, Gao, Yizhao, Zhu, Chong, Li, Kang, Fei, Minrui, Peng, Chen, Zhang, Xi, Han, Qing-Long
Published in Control engineering practice (01.07.2022)
Published in Control engineering practice (01.07.2022)
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Multiple observers based anti-disturbance control for a quadrotor UAV against payload and wind disturbances
Guo, Kexin, Jia, Jindou, Yu, Xiang, Guo, Lei, Xie, Lihua
Published in Control engineering practice (01.09.2020)
Published in Control engineering practice (01.09.2020)
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Disturbance observers and extended state observers for marine vehicles: A survey
Gu, Nan, Wang, Dan, Peng, Zhouhua, Wang, Jun, Han, Qing-Long
Published in Control engineering practice (01.06.2022)
Published in Control engineering practice (01.06.2022)
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Value iteration and adaptive optimal output regulation with assured convergence rate
Jiang, Yi, Gao, Weinan, Na, Jing, Zhang, Di, Hämäläinen, Timo T., Stojanovic, Vladimir, Lewis, Frank L.
Published in Control engineering practice (01.04.2022)
Published in Control engineering practice (01.04.2022)
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Adaptive-neural-network-based robust lateral motion control for autonomous vehicle at driving limits
Ji, Xuewu, He, Xiangkun, Lv, Chen, Liu, Yahui, Wu, Jian
Published in Control engineering practice (01.07.2018)
Published in Control engineering practice (01.07.2018)
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A dynamic CNN for nonlinear dynamic feature learning in soft sensor modeling of industrial process data
Yuan, Xiaofeng, Qi, Shuaibin, Wang, Yalin, Xia, Haibing
Published in Control engineering practice (01.11.2020)
Published in Control engineering practice (01.11.2020)
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Deep reinforcement learning with shallow controllers: An experimental application to PID tuning
Lawrence, Nathan P., Forbes, Michael G., Loewen, Philip D., McClement, Daniel G., Backström, Johan U., Gopaluni, R. Bhushan
Published in Control engineering practice (01.04.2022)
Published in Control engineering practice (01.04.2022)
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Energy-efficient operation by cooperative control among trains: A multi-agent reinforcement learning approach
Su, Shuai, Wang, Xuekai, Tang, Tao, Wang, Guang, Cao, Yuan
Published in Control engineering practice (01.11.2021)
Published in Control engineering practice (01.11.2021)
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Predefined-time formation tracking control of networked marine surface vehicles
Liang, Chang-Duo, Ge, Ming-Feng, Liu, Zhi-Wei, Ling, Guang, Liu, Feng
Published in Control engineering practice (01.02.2021)
Published in Control engineering practice (01.02.2021)
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Time-varying formation control for unmanned aerial vehicles with switching interaction topologies
Dong, Xiwang, Zhou, Yan, Ren, Zhang, Zhong, Yisheng
Published in Control engineering practice (01.01.2016)
Published in Control engineering practice (01.01.2016)
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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
Mechali, Omar, Xu, Limei, Huang, Ya, Shi, Mengji, Xie, Xiaomei
Published in Control engineering practice (01.06.2021)
Published in Control engineering practice (01.06.2021)
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Design of cascaded controller based on coyote optimizer for load frequency control in multi-area power systems with renewable sources
Abou El-Ela, Adel A., El-Sehiemy, Ragab A., Shaheen, Abdullah M., Diab, Abd El-Gelil
Published in Control engineering practice (01.04.2022)
Published in Control engineering practice (01.04.2022)
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Data-driven methods for building control — A review and promising future directions
Maddalena, Emilio T., Lian, Yingzhao, Jones, Colin N.
Published in Control engineering practice (01.02.2020)
Published in Control engineering practice (01.02.2020)
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