Robust learning and control of time-delay nonlinear systems with deep recurrent Koopman operators by Han, Minghao, Li, Zhaojian, Yin, Xiang, Yin, Xunyuan

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Gain-Preserving Data-Driven Approximation of the Koopman Operator and Its Application in Robust Controller Design by Keita Hara, Masaki Inoue

Subjects: “…Koopman operator…”
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Analysis of chaotic economic models through Koopman operators, EDMD, Takens' theorem and Machine Learning by John Leventides, Evangelos Melas, Costas Poulios, Paraskevi Boufounou

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Efficient economic model predictive control of water treatment process with the learning-based Koopman operator by Han, Minghao, Yao, Jingshi, Law, Adrian Wing-Keung, Yin, Xunyuan

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A Koopman operator-based prediction algorithm and its application to COVID-19 pandemic and influenza cases by Igor Mezić, Zlatko Drmač, Nelida Črnjarić, Senka Maćešić, Maria Fonoberova, Ryan Mohr, Allan M. Avila, Iva Manojlović, Aleksandr Andrejčuk

Subjects: “…Koopman operator…”
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A Convex Data-Driven Approach for Nonlinear Control Synthesis by Hyungjin Choi, Umesh Vaidya, Yongxin Chen

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Data‐driven sensor fault detection and isolation of nonlinear systems: Deep neural‐network Koopman operator by Mohammadhosein Bakhtiaridoust, Fatemeh Negar Irani, Meysam Yadegar, Nader Meskin

“…The proposed method uses deep neural network architecture to obtain an invariant set of basis functions for the Koopman operator to form a linear predictor for a nonlinear system. …”
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A deep Koopman operator‐based modelling approach for long‐term prediction of dynamics with pixel‐level measurements by Yongqian Xiao, Zixin Tang, Xin Xu, Xinglong Zhang, Yifei Shi

“…In this study, a deep convolutional network based on the Koopman operator (CKNet) is proposed to model non‐linear systems with pixel‐level measurements for long‐term prediction. …”
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Implementation of a robust data-driven control approach for an ommi-directional mobile manipulator based on koopman operator by Xuehong Zhu, Chengjun Ding, Chao Ren, Tong Zhang, Lizhen Jia, Lirong Wu

“…The dynamic modeling and control of omni-directional mobile manipulators (OMM) are challenging since they are highly nonlinear, strongly coupled, and multi-input multi-output uncertainty systems. Koopman operator theory can provide an explicit linear dynamic model for OMM, only based on input-output data. …”
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Reduced-order Koopman modeling and predictive control of nonlinear processes by Zhang, Xuewen, Han, Minghao, Yin, Xunyuan

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Data-driven prediction of temperature variations in an open cathode proton exchange membrane fuel cell stack using Koopman operator by Da Huo, Carrie M. Hall

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Simulation and Dynamic Properties Analysis of the Anaerobic–Anoxic–Oxic Process in a Wastewater Treatment PLANT Based on Koopman Operator and Deep Learning by Wenchong Tian, Yuting Liu, Jun Xie, Weizhong Huang, Weihao Chen, Tao Tao, Kunlun Xin

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Study of the Hypergeometric Equation via Data Driven Koopman-EDMD Theory by Evangelos Melas, Costas Poulios, Elias Camouzis, John Leventides, Nick Poulios

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Evaluation of the Regions of Attraction of Higher-Dimensional Hyperbolic Systems Using Extended Dynamic Mode Decomposition by Camilo Garcia-Tenorio, Duvan Tellez-Castro, Eduardo Mojica-Nava, Alain Vande Wouwer

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Is the Finite-Time Lyapunov Exponent Field a Koopman Eigenfunction? by Erik M. Bollt, Shane D. Ross

Subjects: “…Koopman operator…”
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Extending the extended dynamic mode decomposition with latent observables: the latent EDMD framework by Said Ouala, Bertrand Chapron, Fabrice Collard, Lucile Gaultier, Ronan Fablet

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Predicting the Critical Number of Layers for Hierarchical Support Vector Regression by Ryan Mohr, Maria Fonoberova, Zlatko Drmač, Iva Manojlović, Igor Mezić

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On the anti-missile interception technique of unpowered phase based on data-driven theory by Huang Yong, Li Yang

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Koopman fault‐tolerant model predictive control by Mohammadhosein Bakhtiaridoust, Meysam Yadegar, Fatemeh Jahangiri

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Data-Driven Active Learning Control for Bridge Cranes by Haojie Lin, Xuyang Lou

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