2024 share record
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Alexander Demin , Elizaveta Demitraki , Gleb Pogudin : Exact hierarchical reductions of dynamical models via linear transformations. Commun. Nonlinear Sci. Numer. Simul. 131 : 107816 (2024 )share record
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Zilu Liu , Fang Han , Ying Yu , Qingyun Wang : Role of hierarchical heterogeneity in shaping seizure onset dynamics: Insights from structurally-based whole-brain dynamical network models. Commun. Nonlinear Sci. Numer. Simul. 130 : 107721 (2024 )export record
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journals/corr/abs-2403-18181 share record
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Tomoya Nishikata , Jun Ohkubo : Compression of the Koopman matrix for nonlinear physical models via hierarchical clustering. CoRR abs/2403.18181 (2024 )2023 share record
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James Dallas , Michael Thompson , Jonathan Y. M. Goh , Avinash Balachandran : A Hierarchical Adaptive Nonlinear Model Predictive Control Approach for Maximizing Tire Force Usage in Autonomous Vehicles. Field Robotics 3 (1 ) : 222-242 (2023 )share record
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Heng Zhao , Guangdeng Zong , Xudong Zhao , Huanqing Wang , Ning Xu , Ning Zhao : Hierarchical Sliding-Mode Surface-Based Adaptive Critic Tracking Control for Nonlinear Multiplayer Zero-Sum Games via Generalized Fuzzy Hyperbolic Models. IEEE Trans. Fuzzy Syst. 31 (11 ) : 4010-4023 (2023 )share record
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Hegang Chen , Pengbo Mao , Yuyin Lu , Yanghui Rao : Nonlinear Structural Equation Model Guided Gaussian Mixture Hierarchical Topic Modeling. ACL (1) 2023 : 10377-10390 share record
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Minh Duc Pham , Duc Cuong Vu , Thi Thuy Hang Nguyen , Thi-Van-Anh Nguyen , Dinh Dat Vu , Tung Lam Nguyen : Nonlinear Model Predictive Control for Ballbot systems: A benchmark with Hierarchical Sliding Mode and Linear Quadratic controls. ICCAIS 2023 : 411-416 export record
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conf/iecon/NorambuenaMCAR23a share record
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Margarita Norambuena , Fabian Medina , Fernanda Carnielutti , Mokhtar Aly , José Rodríguez : Hierarchical Model Predictive Control for a VSI Considering Unbalanced Load and Nonlinear Load. IECON 2023 : 1-6 share record
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Lingjing Kong , Biwei Huang , Feng Xie , Eric P. Xing , Yuejie Chi , Kun Zhang : Identification of Nonlinear Latent Hierarchical Models. NeurIPS 2023 export record
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journals/corr/abs-2304-12263 share record
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James Dallas , Michael Thompson , Jonathan Y. M. Goh , Avinash Balachandran : A hierarchical adaptive nonlinear model predictive control approach for maximizing tire force usage in autonomous vehicles. CoRR abs/2304.12263 (2023 )export record
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journals/corr/abs-2306-07916 share record
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Lingjing Kong , Biwei Huang , Feng Xie , Eric P. Xing , Yuejie Chi , Kun Zhang : Identification of Nonlinear Latent Hierarchical Models. CoRR abs/2306.07916 (2023 )export record
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journals/corr/abs-2307-06816 share record
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SiHun Lee , Sangmin Lee , Kijoo Jang , Haeseong Cho , SangJoon Shin : Data-driven Nonlinear Parametric Model Order Reduction Framework using Deep Hierarchical Variational Autoencoder. CoRR abs/2307.06816 (2023 )2022 share record
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Martin Hanik , Hans-Christian Hege , Christoph von Tycowicz : A Nonlinear Hierarchical Model for Longitudinal Data on Manifolds. ISBI 2022 : 1-5 2021 share record
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Benedikt Wohner , Francisco Sevilla , Benedikt Grueter , Johannes Diepolder , Rubens Junqueira Magalhães Afonso , Florian Holzapfel : Hierarchical Nonlinear Model Predictive Control for an Autonomous Racecar. ICAR 2021 : 113-120 2020 share record
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Aitshaam Shahzad : Pruned hierarchical local model networks for nonlinear system identification: neuro-fuzzy local model network-based nonlinear system identification using maximum likelihood partitioned hierarchical model trees and backward elimination pruning for structure optimisation. Loughborough University, UK, 2020 export record
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journals/apin/JamiinARMAW20 share record
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Mohammad Abu Jami'in , Khairul Anam , Riries Rulaningtyas , Urip Mudjiono , Adianto Adianto , Hui-Ming Wee : Hierarchical linear and nonlinear adaptive learning model for system identification and prediction. Appl. Intell. 50 (6 ) : 1699-1710 (2020 )share record
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Hongbiao Zhou , Yu Zhang , Weiping Duan , Huanyu Zhao : Nonlinear systems modelling based on self-organizing fuzzy neural network with hierarchical pruning scheme. Appl. Soft Comput. 95 : 106516 (2020 )share record
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Jiaorao Wang , Chunyue Song , Jun Zhao , Zuhua Xu : A PWA model identification method for nonlinear systems using hierarchical clustering based on the gap metric. Comput. Chem. Eng. 138 : 106838 (2020 )export record
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journals/remotesensing/Lewis-BeckWNCH20 share record
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Colin Lewis-Beck , Victoria A. Walker , Jarad Niemi , Petruta Caragea , Brian K. Hornbuckle : Extracting Agronomic Information from SMOS Vegetation Optical Depth in the US Corn Belt Using a Nonlinear Hierarchical Model. Remote. Sens. 12 (5 ) : 827 (2020 )share record
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Lukas Schmitt , Martin Keller , Thivaharan Albin , Dirk Abel : Real-Time Nonlinear Model Predictive Control for the Energy Management of Hybrid Electric Vehicles in a Hierarchical Framework. ACC 2020 : 1961-1967 2019 share record
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Martin Keller , Lukas Schmitt , Dirk Abel : Nonlinear Hierarchical Model Predictive Control for the Energy Management of a Hybrid Electric Vehicle. MED 2019 : 451-456 2018 2017 export record
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journals/datamine/WangZZLY17 share record
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Peng Wang , Peng Zhang , Chuan Zhou , Zhao Li , Hong Yang : Hierarchical evolving Dirichlet processes for modeling nonlinear evolutionary traces in temporal data. Data Min. Knowl. Discov. 31 (1 ) : 32-64 (2017 )2016 share record
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Ziyun Wang , Yanxia Shen , Dinghui Wu , Zhicheng Ji : Hierarchical least squares algorithms for nonlinear feedback system modeling. J. Frankl. Inst. 353 (10 ) : 2258-2269 (2016 )2013 share record
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Peipei Hu , Feng Ding , Jie Sheng : Auxiliary model based least squares parameter estimation algorithm for feedback nonlinear systems using the hierarchical identification principle. J. Frankl. Inst. 350 (10 ) : 3248-3259 (2013 )share record
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Marica Manisera : Assessing Stability in NonLinear PCA with Hierarchical Data. Statistical Models for Data Analysis 2013 : 217-224 2012 share record
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Maengseok Noh , Lang Wu , Youngjo Lee : Hierarchical likelihood methods for nonlinear and generalized linear mixed models with missing data and measurement errors in covariates. J. Multivar. Anal. 109 : 42-51 (2012 )share record
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Adrian Tica , Hervé Guéguen , Didier Dumur , Damien Faille , Frans Davelaar : Hierarchical nonlinear model predictive control for combined cycle start-up optimization. CDC 2012 : 2593-2598 2011 export record
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journals/bmcsb/TondelIGVHOM11 share record
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Kristin Tøndel , Ulf G. Indahl , Arne B. Gjuvsland , Jon Olav Vik , Peter J. Hunter , Stig W. Omholt , Harald Martens : Hierarchical Cluster-based Partial Least Squares Regression (HC-PLSR) is an efficient tool for metamodelling of nonlinear dynamic models. BMC Syst. Biol. 5 : 90 (2011 )export record
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journals/jamds/QingmingZ11 share record
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Zou Qingming , Zhong Y. Zhu : Testing the Correlation and Heterogeneity for Hierarchical Nonlinear Mixed-Effects Models. Adv. Decis. Sci. 2011 : 976823:1-976823:16 (2011 )