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检索条件"任意字段=Conference on Complexity and Nonlinear Dynamics"
1436 条 记 录,以下是171-180 订阅
排序:
Slow Inter-area Electro-mechanical Oscillations Revisited: Structural Property of Complex Multi-area Electric Power Systems
Slow Inter-area Electro-mechanical Oscillations Revisited: S...
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International conference on Control, Decision and Information Technologies (CoDIT)
作者: Hiya Akhil Gada Marija D. Ilic Laboratory for Information and Decision Systems (LIDS) of Massachusetts Institute of Technology Cambridge MA USA Department of Carnegie Electrical and Computer Engineering (ECE) Mellon University Pittsburgh PA
This paper introduces a physically-intuitive notion of inter-area dynamics in systems comprising multiple interconnected energy conversion modules. The idea builds on an earlier general approach of setting their struc... 详细信息
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Edge of Chaos Behind Bistability of the Inhomogeneous in Homogeneous Cellular Media  1
Edge of Chaos Behind Bistability of the Inhomogeneous in Hom...
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IEEE International conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (IEEE MetroXRAINE)
作者: Ascoli, A. Demirkol, A. S. Schmitt, N. Tetzlaff, R. Chua, L. O. Tech Univ Dresden Fac Elect & Comp Engn Dresden Germany Univ Calif Berkeley Dept Elect Engn & Comp Sci Berkeley CA 94720 USA
Leveraging the negative differential resistance of a NbOx volatile threshold switch, manufactured at NaMLab, we recently presented the simplest ever-reported physical system, undergoing the same counterintuitive silen... 详细信息
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Cooperative Control of Vehicle Platoons with Unknown dynamics using Neural Network-Enhanced Reinforcement Learning
Cooperative Control of Vehicle Platoons with Unknown Dynamic...
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International conference on Mechatronics (ICM)
作者: Elham Yazdani Bejarbaneh Haiping Du School of Electrical Computer and Telecommunications Engineering University of Wollongong Wollongong NSW Australia
This study proposes an optimal cooperative control framework for heterogeneous vehicle platoons using a neural network (NN)-based reinforcement learning (RL) algorithm in an identifier-critic-actor framework. Typicall... 详细信息
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Multibody Model Simplification By Parameter Reduction
Multibody Model Simplification By Parameter Reduction
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ASME International Design Engineering Technical conferences / 42nd Annual Computers and Information in Engineering conference (IDETC-CIE) / 18th International conference on Multibody Systems, nonlinear dynamics, and Control (MSNDC)
作者: Ros, Javier Iriarte, Xabier Plaza, Aitor Fuentes, Jose D. Univ Publ Navarra Inst Smart Cities ISC Pamplona Spain Univ Publ Navarra Dept Mech Engn Pamplona Spain
Model selection methods are used in different scientific contexts to represent a characteristic data set in terms of a reduced number of parameters. Apparently, these methods have not found their way in the multibody ... 详细信息
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Adaptive Fuzzy Decentralized Dynamic Surface Control for Fractional-Order nonlinear Large-Scale Systems
Adaptive Fuzzy Decentralized Dynamic Surface Control for Fra...
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International conference on Applied nonlinear dynamics, Vibration and Control, ICANDVC 2021
作者: Zhan, Yongliang Li, Yongming Tong, Shaocheng Liaoning University of Technology Jinzhou121001 China
In this paper, we study the adaptive fuzzy decentralized control problem for the fractional-order nonlinear large-scale systems in strict-feedback form. The controlled systems contain unknown nonlinearities. In the pr... 详细信息
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A Control Approach for nonlinear Stochastic State Uncertain Systems with Probabilistic Safety Guarantees
A Control Approach for Nonlinear Stochastic State Uncertain ...
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American Control conference (ACC)
作者: Mohammad S. Ramadan Mohammad Alsuwaidan Ahmed Atallah Sylvia Herbert Mathematics and Computer Science Division Argonne National Laboratory Lemont IL USA Department of Mechanical and Aerospace Engineering University of California San Diego La Jolla CA USA
This paper presents an algorithm to apply nonlinear control design approaches to the case of stochastic systems with partial state observation. Deterministic nonlinear control approaches are formulated under the assum... 详细信息
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Data-free Neural Representation Compression with Riemannian Neural dynamics  41
Data-free Neural Representation Compression with Riemannian ...
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41st International conference on Machine Learning, ICML 2024
作者: Pei, Zhengqi Zhang, Anran Wang, Shuhui Ji, Xiangyang Huang, Qingming Institute of Computing Technology Chinese Academy of Sciences China School of Artificial Intelligence University of Chinese Academy of Sciences China Peng Cheng Laboratory China Department of Automation Tsinghua University China School of Computer Science and Technology University of Chinese Academy of Sciences China
Neural models are equivalent to dynamic systems from a physics-inspired view, implying that computation on neural networks can be interpreted as the dynamical interactions between neurons. However, existing work model... 详细信息
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Data-Driven Safety-Critical Control with High-Order Iterative Control Barrier Function
Data-Driven Safety-Critical Control with High-Order Iterativ...
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IEEE conference on Decision and Control
作者: Zi-Yuan Dong Xin-Yi Yu Lin-Lin Ou Yong-Qi Zhang College of Information Engineering Zhejiang University of Technology Hangzhou China
The stability and safety of uncertain nonlinear systems have always been an essential and hard task in the automation field. For the forward invariance of the safety set of the system under unmodeled dynamics, a new c... 详细信息
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Blast Furnace Ironmaking Process Fault Detection Using Canonical Variate Analysis and Support Vector Data Description  34
Blast Furnace Ironmaking Process Fault Detection Using Canon...
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34th Chinese Control and Decision conference (CCDC)
作者: Wang, Xuemei Wu, Ping Pan, Haipeng Zhejiang Sci Tech Univ Sch Mech Engn & Automat Hangzhou 310018 Peoples R China
Anomalies detection plays a vital role in ensuring the stability and smoothness of the blast furnace ironmaking process. Due to its complexity, data-driven fault detection has become a hot topic for the blast furnace ... 详细信息
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Learning Distributed Geometric Koopman Operator for Sparse Networked Dynamical Systems  1
Learning Distributed Geometric Koopman Operator for Sparse N...
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1st Learning on Graphs conference (LoG)
作者: Mukherjee, Sayak Nandanoori, Sai Pushpak Guan, Sheng Agarwal, Khushbu Sinha, Subhrajit Kundu, Soumya Pal, Seemita Wu, Yinghui Vrabie, Draguna L. Choudhury, Sutanay Pacific Northwest Natl Lab Richland WA 99352 USA Case Western Reserve Univ Cleveland OH 44106 USA
The Koopman operator theory provides an alternative to studying nonlinear networked dynamical systems (NDS) by mapping the state space to an abstract higher dimensional space where the system evolution is linear. The ... 详细信息
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