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检索条件"机构=Center for Control Dynamical Systems and Computation"
339 条 记 录,以下是11-20 订阅
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Convergent Second-Order Methods for Min-Max Optimizations
Convergent Second-Order Methods for Min-Max Optimizations
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American control Conference (ACC)
作者: Raphael Chinchilla Guosong Yang João Hespanha Center for Control Dynamical Systems and Computation University of California Santa Barbara United States of America
We address the use of second-order methods to solve optimizations of the form\begin{equation*}\mathop {\min }\limits_{u \in \mathcal{U}} \mathop {\max }\limits_{d \in \mathcal{D}} f(u,d),\tag{1}\end{equation*}for a tw...
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Learning Residual Dynamics via Physics-Augmented Neural Networks: Application to Vapor Compression Cycles
Learning Residual Dynamics via Physics-Augmented Neural Netw...
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American control Conference (ACC)
作者: Raphael Chinchilla Vedang M. Deshpande Ankush Chakrabarty Christopher R. Laughman Center for Control Dynamical Systems and Computation University of California Santa Barbara Mitsubishi Electric Research Laboratories
In order to improve the control performance of vapor compression cycles (VCCs), it is often necessary to construct accurate dynamical models of the underlying thermo-fluid dynamics. These dynamics are represented by c...
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Proximal Gradient Dynamics and Feedback control for Equality-Constrained Composite Optimization
arXiv
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arXiv 2025年
作者: Centorrino, Veronica Rossi, Francesca Bullo, Francesco Russo, Giovanni DIEM University of Salerno Italy Scuola Superiore Meridionale Italy Center for Control Dynamical Systems and Computation UC Santa Barbara CA United States
This paper studies equality-constrained composite minimization problems. This class of problems, capturing regularization terms and convex inequality constraints, naturally arises in a wide range of engineering and ma... 详细信息
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Contractivity of Distributed Optimization and Nash Seeking Dynamics
arXiv
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arXiv 2023年
作者: Gokhale, Anand Davydov, Alexander Bullo, Francesco The Center for Control Dynamical Systems and Computation UC Santa Barbara Santa BarbaraCA93106 United States
In this letter, we study distributed optimization and Nash equilibrium-seeking dynamics from a contraction theoretic perspective. Our first result is a novel bound on the logarithmic norm of saddle matrices. Second, f...
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A Stochastic Surveillance Stackelberg Game: Co-Optimizing Defense Placement and Patrol Strategy
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IEEE Transactions on Automatic control 2025年
作者: John, Yohan Díaz-García, Gilberto Duan, Xiaoming Marden, Jason R. Bullo, Francesco UC Santa Barbara Center for Control Dynamical Systems and Computation Santa BarbaraCA93106-5070 United States Shanghai Jiao Tong University Department of Automation Shanghai200240 China
Stochastic patrol routing is known to be advantageous in adversarial settings;however, the optimal choice of stochastic routing strategy is dependent on a model of the adversary. We adopt a worst-case omniscient adver... 详细信息
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RoSSO: A High-Performance Python Package for Robotic Surveillance Strategy Optimization Using JAX
arXiv
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arXiv 2023年
作者: John, Yohan Hughes, Connor Díaz-García, Gilberto Marden, Jason R. Bullo, Francesco The Center for Control Dynamical Systems and Computation UC Santa Barbara Santa BarbaraCA93106-5070 United States
To enable the computation of effective randomized patrol routes for single- or multi-robot teams, we present RoSSO, a Python package designed for solving Markov chain optimization problems. We exploit machine-learning... 详细信息
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computation of Hopf Bifurcation Points in the Magnetic Levitation System  4th
Computation of Hopf Bifurcation Points in the Magnetic Levit...
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4th International Conference on Information and Communication Technology for Intelligent systems, ICTIS 2020
作者: Valluru, Sudarshan K. Gupta, Anshul Verma, Aditya Center for Control of Dynamical Systems and Computation Department of Electrical Engineering Delhi Technological University Delhi110042 India
This research brief aims to study the bifurcation analysis of an electromagnetic levitation (maglev) system. The bifurcation analysis involves first performing the numerical analysis, and then the simulations using MA... 详细信息
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Inference of Infrastructure Network Flows via Physics-Inspired Implicit Neural Networks
Inference of Infrastructure Network Flows via Physics-Inspir...
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control Technology and Applications (CCTA),
作者: Francesco Seccamonte Ambuj K. Singh Francesco Bullo Center for Control Dynamical Systems and Computation University of California Santa Barbara Department of Computer Science University of California Santa Barbara
We study the problem of inferring edge flows and nodal injections in infrastructure networks. Leveraging the Thomson’s Principle from the electric circuits literature, we setup a framework to jointly learn network pa...
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Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees
arXiv
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arXiv 2024年
作者: Jaffe, Sean Davydov, Alexander Lapsekili, Deniz Singh, Ambuj K. Bullo, Francesco Center for Control Dynamical Systems and Computation University of California Santa Barbara United States Department of Computer Science University of California Santa Barbara United States
Global stability and robustness guarantees in learned dynamical systems are essential to ensure well-behavedness of the systems in the face of uncertainty. We present Extended Linearized Contracting Dynamics (ELCD), t... 详细信息
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A Deep Neural Network Approach to Automatic Multi-Class Classification of Electrocardiogram Signals
A Deep Neural Network Approach to Automatic Multi-Class Clas...
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2021 International Conference on Intelligent Technologies, CONIT 2021
作者: Rahuja, Nitin Valluru, Sudarshan K. Delhi Technological University Center for Control of Dynamical Systems and Computation Dept. of Electrical Engineering Delhi110042 India
Classification of electrocardiogram (ECG) signals is essential for accurate clinical diagnosis of coronary illness. Deep Neural Network (DNN) has emerged as a promising tool for feature identification in ECG signals w... 详细信息
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