京东 11.11 红包
Enabling Automatic Building Envelope Retrofits Using Controls & Machine Learning
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Learning-based Planning and Control: Opportunities and Challenges by J. How
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Data driven Control of Unknown Nonlinear Systems Using Extremum Seeking Controls
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The Role of Adaptation in Learning, Safety, and Optimality by Anuradha Annaswamy
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Real-time Distributed Decision Making in Networked Systems by Na Li
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What Makes Learning to Control Easy or Hard？by Nikolai Matni
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Learning for Decision-Making under Uncertainty by Bartolomeo Stellato
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Enabling a Responsive Grid with Distributed Load Control and Optimization
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Some Fundamental Limitations of Learning for Dynamics and Control by N Özay
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Robust Online Convex Optimization for Disturbance Rejection by Peter Seiler
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Theoretical Foundation of Learning-based Planning for LTL Objectives
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Hierarchical Optimization-Based Control for Agile and Adaptive Legged Robots
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IFAC Industry Connect: Machine Learning and Control
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Direct Adaptive Learning of the LQR by Florian Dörfler
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Resilience in State Estimation and System Identification by Laurent Bako
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Optimal and Distributed Control in Animals by Lisa (Jing Shuang) Li
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Data-Driven Engineering and Process Control Education with Portable Labs
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Low Gain Feedback for Linear Systems: Input Saturation and Input Delay by Z. Lin
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Controlled Fun: Teaching Automatic Control with Gamification by Steffi Knorn
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Machine Learning for Robotics: Safety and Performance Guarantees for Learning...
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Autonomy for Active Perception by Robot Swarms by Fumin Zhang @ACC2023
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IFAC Industry Connect: Making the Leap from Academia to Entrepreneurship
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Control Design Based on Deep Learning by Draguna Vrabie
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Sink or Swim: Control of Floating Offshore Wind Turbines by Lucy Pao
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Control Co-design of Renewable Energy Harvesting Systems by Kartik Praful Naik
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Model Based Deep Learning: Applications to Imaging & Communications by Y. Eldar
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Power System Dynamics and Control——Structure, Data and Learning by David J. Hill
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Modelling, Dynamics and Control of Aggregate Loads by Ian Hiskens
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Control Has Met Learning: Aspirational Lessons from Adaptive Control Theory
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Safe and Efficient Exploration in Reinforcement Learning by Andreas Krause
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A Constrained Control Perspective on Safe Learning-Based Control by M. Zeilinger
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Are CMDPs Fundamentally Harder than MDPs? by Lei Ying
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Self-Powered Linear Feedback Control_ Necessary and Sufficient Conditions
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Why Would We Want a Multi-agent System Unstable? by Mrdjan Jankovic @ACC2023
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Regret-Optimal Control by Babak Hassibi
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Is Resilience a Quality or a Quantity? by Erik Hollnagel @IFAC2023
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Real-Time Optimization Algorithms for Nonlinear Model Predictive Control of ...
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Automatic Control and Biological Systems: a Long Quiet River? by Denis Dochain
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Safe, Interaction-Aware Decision Making and Control for Robot Autonomy by Pavone
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Walking the Boundary of Learning and Interaction by Dorsa Sadigh
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Advanced, Adaptive and Flexible Algorithms for Decentralized Optimization