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检索条件"机构=Center for Control of Dynamical Systems and Computation"
341 条 记 录,以下是21-30 订阅
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A Comparative Analysis of Deep Neural Network Models using Transfer Learning for Electrocardiogram Signal Classification  6
A Comparative Analysis of Deep Neural Network Models using T...
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6th International Conference on Recent Trends on Electronics, Information, Communication and Technology, RTEICT 2021
作者: Rahuja, Nitin Valluru, Sudarshan K. Center for Control of Dynamical Systems and Computation Delhi Technological University Dept. of Electrical Engineering Delhi110042 India
With the development of computational resources in the past decade, the adoption of deep learning methodologies has taken a steep rise. Particularly, the use of various Convolutional Neural Network (CNN) based archite... 详细信息
来源: 评论
REGULAR PAIRINGS FOR NON-QUADRATIC LYAPUNOV FUNCTIONS AND CONTRACTION ANALYSIS
arXiv
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arXiv 2024年
作者: Proskurnikov, Anton V. Bullo, Francesco Department of Electronics and Telecommunications Politecnico di Torino Turin Italy Center for Control Dynamical Systems and Computation UC Santa Barbara Santa BarbaraCA93101 United States
Recent studies on stability and contractivity have highlighted the importance of semi-inner products, which we refer to as "pairings", associated with general norms. A pairing is a binary operation that rela... 详细信息
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Comparative Analysis of GOA, WCA and PSO Tuned Fractional Order-PID controller for Cart-Inverted Pendulum
Comparative Analysis of GOA, WCA and PSO Tuned Fractional Or...
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Power and Renewable Energy Conference (IPRECON), IEEE International
作者: Neelam Verma Sudarshan K. Valluru Department of Electrical Engineering Center for Control of Dynamical Systems and Computation Delhi Technological University Delhi India
control of cart based inverted pendulum system is a classical problem of control system and is widely used to verify the effectiveness of control algorithms. In this paper, fractional order PID (FOPID) controller has ... 详细信息
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Non-euclidean monotone operator theory and applications
The Journal of Machine Learning Research
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The Journal of Machine Learning Research 2024年 第1期25卷 14872-14904页
作者: Alexander Davydov Saber Jafarpour Anton V. Proskurnikov Francesco Bullo Center for Control Dynamical Systems and Computation University of California Santa Barbara Santa Barbara CA Department of Electrical Computer and Energy Engineering University of Colorado Boulder Boulder CO Department of Electronics and Telecommunications Politecnico di Torino Turin 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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A sufficient condition for 2-contraction of a feedback interconnection
arXiv
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arXiv 2024年
作者: Ofir, Ron Bullo, Francesco Margaliot, Michael the School of Elec. Eng. Tel Aviv University 69978 Israel the Center for Control Dynamical Systems and Computation UC Santa Barbara Santa BarbaraCA93106 United States
Multistationarity – the existence of multiple equilibrium points – is a common phenomenon in dynamical systems from a variety of fields, including neuroscience, opinion dynamics, systems biology, and power systems. ... 详细信息
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Contractivity of the Method of Successive Approximations for Optimal control
arXiv
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arXiv 2022年
作者: Smith, Kevin D. Bullo, Francesco Center for Control Dynamical Systems and Computation UC Santa Barbara Santa BarbaraCA93101 United States
Strongly contracting dynamical systems have numerous properties (e.g., incremental ISS), find widespread applications (e.g., in controls and learning), and their study is receiving increasing attention. This work star... 详细信息
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INPUT-DRIVEN DYNAMICS FOR ROBUST MEMORY RETRIEVAL IN HOPFIELD NETWORKS
arXiv
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arXiv 2024年
作者: Betteti, Simone Baggio, Giacomo Bullo, Francesco Zampieri, Sandro Department of Information Engineering Università degli Studi di Padova Padova35131 Italy Center for Control Dynamical Systems and Computation University of California at Santa Barbara Santa BarbaraCA93106 United States
The Hopfield model provides a mathematically idealized yet insightful framework for understanding the mechanisms of memory storage and retrieval in the human brain. This model has inspired four decades of extensive re... 详细信息
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Firing Rate Models as Associative Memory: Excitatory-Inhibitory Balance for Robust Retrieval
arXiv
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arXiv 2024年
作者: Betteti, Simone Baggio, Giacomo Bullo, Francesco Zampieri, Sandro Department of Information Engineering Università degli Studi di Padova Padova35131 Italy Center for Control Dynamical Systems and Computation University of California at Santa Barbara Santa BarbaraCA93106 IT United States
Firing rate models are dynamical systems widely used in applied and theoretical neuroscience to describe local cortical dynamics in neuronal populations. By providing a macroscopic perspective of neuronal activity, th... 详细信息
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On Weakly Contracting Dynamics for Convex Optimization
arXiv
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arXiv 2024年
作者: Centorrino, Veronica Davydov, Alexander Gokhale, Anand Russo, Giovanni Bullo, Francesco Scuola Superiore Meridionale Italy The Center for Control Dynamical Systems and Computation UC Santa Barbara Santa BarbaraCA93106 United States The Department of Information and Electric Engineering and Applied Mathematics University of Salerno Italy
We analyze the convergence behavior of globally weakly and locally strongly contracting dynamics. Such dynamics naturally arise in the context of convex optimization problems with a unique minimizer. We show that conv... 详细信息
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On the Equivalence of Multi-Agent 2D Coverage control and Leader-Follower Consensus Network
On the Equivalence of Multi-Agent 2D Coverage Control and Le...
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American control Conference (ACC)
作者: Xiaotian Xu Alexander Davydov Yancy Diaz-Mercado Department of Mechanical Engineering University of Maryland College Park MD USA Department of Mechanical Engineering and the Center for Control Dynamical Systems and Computation University of California Santa Barbara CA USA
Coverage control algorithms seek to spatially distribute agents in a domain of coverage, e.g., to minimize proximity to all points. Leader-follower consensus network algorithms use local coordination rules to influenc...
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