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检索条件"机构=Center for Control of Dynamical Systems and Computation"
339 条 记 录,以下是61-70 订阅
排序:
Non-Euclidean Monotone Operator Theory with Applications to Recurrent Neural Networks
Non-Euclidean Monotone Operator Theory with Applications to ...
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IEEE Conference on Decision and control
作者: Alexander Davydov Saber Jafarpour Anton V. Proskurnikov Francesco Bullo Center for Control Dynamical Systems and Computation University of California Santa Barbara USA School of Electrical and Computer Engineering Georgia Institute of Technology Department of Electronics and Telecommunications Politecnico di Torino Turin Italy
We provide a novel transcription of monotone operator theory to the non-Euclidean finite-dimensional spaces ℓ 1 and ℓ ∞ . We first establish properties of mappings which are monotone with respect to the non-Euclidea... 详细信息
来源: 评论
Extending dynamic mode decomposition to data from multiple outputs
arXiv
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arXiv 2021年
作者: Boddupalli, Nibodh Department of Mechanical Engineering Center for Control Dynamical Systems and Computation University of California Santa BarbaraCA United States
System identification based on Koopman operator theory has grown in popularity recently. Spectral properties of the Koopman operator of a system were proven to relate to properties like invariant sets, stability, peri...
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A Tale of Two Doses: Model Identification and Optimal Vaccination for COVID-19
A Tale of Two Doses: Model Identification and Optimal Vaccin...
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IEEE Conference on Decision and control
作者: Raphael Chinchilla Guosong Yang Murat K. Erdal Ramon R. Costa João P. Hespanha Center for Control Dynamical Systems and Computation University of California Santa Barbara USA Federal University of Rio de Janeiro Brazil
We address the model identification and the computation of optimal vaccination policies for the coronavirus disease 2019 (COVID-19). We consider a stochastic Susceptible– Infected–Removed (SIR) model that captures t... 详细信息
来源: 评论
Non-Euclidean Contraction Theory for Robust Nonlinear Stability
arXiv
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arXiv 2021年
作者: Davydov, Alexander Jafarpour, Saber Bullo, Francesco The Department of Mechanical Engineering The Center for Control Dynamical Systems and Computation University of California Santa Barbara93106-5070 United States
We study necessary and sufficient conditions for contraction and incremental stability of dynamical systems with respect to non-Euclidean norms. First, we introduce weak pairings as a framework to study contractivity ... 详细信息
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ONLINE FEEDBACK OPTIMIZATION AND SINGULAR PERTURBATION VIA CONTRACTION THEORY∗
arXiv
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arXiv 2023年
作者: Cothren, Liliaokeawawa Bullo, Francesco Dall’Anese, Emiliano Department of Electrical Computer and Energy Engineering University of Colorado Boulder BoulderCO United States Center for Control Dynamical Systems and Computation UC Santa Barbara Santa BarbaraCA93101 United States Department of Electrical and Computer Engineering Boston University BostonMA02215 United States
In this paper, we provide a novel contraction-theoretic approach to analyze two-time scale systems, including those commonly encountered in Online Feedback Optimization (OFO). Our framework endows these systems with s... 详细信息
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Multistability and anomalies in oscillator models of lossy power grids
arXiv
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arXiv 2022年
作者: Delabays, Robin Jafarpour, Saber Bullo, Francesco Center for Control Dynamical Systems and Computation Uc Santa Barbara Santa BarbaraCA93106-5070 United States School of Electrical and Computer Engineering Georgia Institute of Technology AtlantaGA30332-0250 United States
The analysis of dissipatively coupled oscillators is challenging and highly relevant in power grids. Standard mathematical methods are not applicable, due to the lack of network symmetry induced by dissipative couplin... 详细信息
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Modeling and Contractivity of Neural-Synaptic Networks with Hebbian Learning
arXiv
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arXiv 2022年
作者: Centorrino, Veronica Bullo, Francesco Russo, Giovanni Scuola Superiore Meridionale Naples Italy The Department of Mechanical Engineering The Center for Control Dynamical Systems and Computation University of California Santa Barbara United States The Department of Information and Electric Engineering and Applied Mathematics University of Salerno Italy
This paper is concerned with the modeling and analysis of two of the most commonly used recurrent neural network models (i.e., Hopfield neural network and firing-rate neural network) with dynamic recurrent connections... 详细信息
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Non-Euclidean Monotone Operator Theory and Applications
arXiv
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arXiv 2023年
作者: Davydov, Alexander Jafarpour, Saber Proskurnikov, Anton V. Bullo, Francesco Center for Control Dynamical Systems and Computation University of California Santa Barbara Santa BarbaraCA93106-5070 United States Department of Electrical Computer and Energy Engineering University of Colorado BoulderCO80309-0020 United States Department of Electronics and Telecommunications Politecnico di Torino Turin10129 Italy
While monotone operator theory is often studied on Hilbert spaces, many interesting problems in machine learning and optimization arise naturally in finite-dimensional vector spaces endowed with non-Euclidean norms, s... 详细信息
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Topological entropy of switched nonlinear and interconnected systems
arXiv
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arXiv 2023年
作者: Yang, Guosong Liberzon, Daniel Hespanha, João P. The Department of Electrical and Computer Engineering Rutgers University PiscatawayNJ08854 United States The Coordinated Science Laboratory University of Illinois Urbana-Champaign UrbanaIL61801 United States The Center for Control Dynamical Systems and Computation University of California Santa Barbara Santa BarbaraCA93106 United States
A general upper bound for topological entropy of switched nonlinear systems is constructed, using an asymptotic average of upper limits of the matrix measures of Jacobian matrices of strongly persistent individual mod... 详细信息
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Learning Robust Data-based LQG controllers from Noisy Data
arXiv
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arXiv 2023年
作者: Liu, Wenjie Sun, Jian Wang, Gang Bullo, Francesco Chen, Jie The National Key Lab of Autonomous Intelligent Unmanned Systems School of Automation Beijing Institute of Technology Beijing100081 China The Beijing Institute of Technology Chongqing Innovation Center Chongqing401120 China The Mechanical Engineering Department The Center of Control Dynamical Systems and Computation UC Santa Barbara CA93106-5070 United States The Department of Control Science and Engineering Tongji University Shanghai201804 China The National Key Lab of Autonomous Intelligent Unmanned Systems Beijing Institute of Technology Beijing100081 China
This paper addresses the joint state estimation and control problems for unknown linear time-invariant systems subject to both process and measurement noise. The aim is to redesign the linear quadratic Gaussian (LQG) ... 详细信息
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