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Adaptive Optimal Control via Continuous-Time Q-Learning for Unknown Nonlinear Affine Systems

• Authors : Chen, Anthony Siming; Herrmann, Guido

Subjects: adaptive critic; approximate dynamic programming; reinforcement learning

• Source: Chen , A S & Herrmann , G 2020 , Adaptive Optimal Control via Continuous-Time Q-Learning for Unknown Nonlinear Affine Systems . in 2019

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Robust Optimal Control of Wave Energy Converters Based on Adaptive Dynamic Programming

• Authors : Na, Jing; Li, Guang; Wang, Bin

Subjects: adaptive dynamic programming; adaptive optimal control; Artificial neural networks

• Source: Na , J , Li , G , Wang , B , Herrmann , G & Zhan , S 2018 , ' Robust Optimal Control of Wave Energy Converters Based on Adaptive Dynamic

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Boosting the Photocatalytic Activity of g-C3N4/ZnO Heterojunctions Through Optimal Control of Mass Ratio

• Authors : da Silva, Fausthon F; da Silva, Rodolfo B.; Silva, Thayse R.

• Source: da Silva , F F , da Silva , R B , Silva , T R , de Macedo , D A & Su , B 2023 , ' Boosting the Photocatalytic Activity of g-C3N4/ZnO Heterojunctions Through Optimal

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Online adaptive optimal control for continuous-time nonlinear systems with completely unknown dynamics

• Authors : Lv, Yongfeng; Na, Jing; Yang, Qinmin

Subjects: adaptive control; approximate dynamic programming; nonlinear systems

• Source: Lv , Y , Na , J , Yang , Q , Wu , X & Guo , Y 2016 , ' Online adaptive optimal control for continuous-time nonlinear systems with

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Calculating principal eigen-functions of non-negative integral kernels:particle approximations and applications

• Authors : Whiteley, Nick; Kantas, Nikolas

Subjects: interacting particle methods; eigen-functions; rare events estimation

• Source: Whiteley , N & Kantas , N 2017 , ' Calculating principal eigen-functions of non-negative integral kernels : particle approximations and applications ' , Mathematics of Operations Research .

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Data-Driven Based Optimal Output-Feedback Control of Continuous-Time Systems

• Authors : Li, Zican; Wu, Tao; Na, Jing

Subjects: Optimal control; Output-feedback control; Data-driven

• Source: Li , Z , Wu , T , Na , J , Zhao , J , Gao , G & Herrmann , G 2018 , Data-Driven Based Optimal Output-Feedback Control of Continuous-Time

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Comparing Different Control Approaches to Implement a Human-like Virtual Player in the Mirror Game

• Authors : Alderisio, Francesco; Antonacci, Dario; Zhai, Chao

Subjects: /dk/atira/pure/core/keywords/engineering_mathematics_research_group; Engineering Mathematics Research Group; Games

• Source: Alderisio , F , Antonacci , D , Zhai , C & Di Bernardo , M 2017 , Comparing Different Control Approaches to Implement a Human-like Virtual Player in the Mirror Game . in

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Quantitative guidance on how best to respond to a big nuclear accident

• Authors : Thomas, Philip

Subjects: Big nuclear accidents; Chernobyl; Fukushima

• Source: Thomas , P 2017 , ' Quantitative guidance on how best to respond to a big nuclear accident ' , Process Safety and Environmental Protection , vol. 112 , no. Part A , pp. 4-15 .

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Deterministic generation of highly squeezed GKP states in ultracold atoms

• Authors : Kendell, Harry C. P.; Ferranti, Giacomo; Weidner, Carrie A.

Subjects: /dk/atira/pure/core/keywords/qetlabs; name=QETLabs

• Source: Kendell , H C P , Ferranti , G & Weidner , C A 2024 , ' Deterministic generation of highly squeezed GKP states in ultracold atoms ' , APL Quantum , vol. 1 , no. 2 , 026109 .

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Adaptive Optimal Tracking Control of Unknown Nonlinear Systems Using System Augmentation

• Authors : Lv, Yongfeng; Na, Jing; Yang, Qinmin

• Source: Lv , Y , Na , J , Yang , Q & Herrmann , G 2017 , Adaptive Optimal Tracking Control of Unknown Nonlinear Systems Using System Augmentation

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