Data-Driven Science and Engineering
Explora técnicas avanzadas de aprendizaje automático, sistemas dinámicos y control con ejemplos prácticos en Matlab y Python, basados en el libro "Data-Driven Science and Engineering" de Brunton y Kutz.
Feedback Control from Pixels
Explore feedback control using cameras, bridging control theory and machine learning. Learn about challenges, recent advances, and potential applications in robotics and AI.
Why Would We Want a Multi-Agent System Unstable
Explores Control Barrier Function methods for collision avoidance in multi-agent systems, comparing stability and effectiveness of different algorithms through simulations and vehicle experiments.
Towards Trusted Human-Centric Robot Autonomy - Stanford Seminar
Exploring human-centric robot autonomy: balancing safety and fluency in interactions. Insights on data-driven safety concepts and legible robot behavior for prosocial human-robot engagement.
Raissa D'Souza - The Collapse of Networks
Explore emergent properties, control theory, and collapse dynamics in complex networks, focusing on renewable energy integration, risk assessment, and social hierarchies.
The Physics of Brain Network Architecture, Function, and Control
Explore brain network architecture and dynamics using advanced imaging and computational tools. Discover control points, activity trajectories, and network evolution from childhood to adulthood.
Practical Questions and Unexpected Answers in Network Synchronization - Optimization and Control
Explore network synchronization optimization and control, covering cardiac pacemakers, E. coli cell cycles, and Kuramoto oscillators. Discover strategies for optimal network structures and frequency-synchronized states.
Approximate Polymorphisms in Boolean Functions
Explore approximate polymorphisms in theoretical computer science, focusing on stability results for functions satisfying certain properties and their implications.
Strongly Stabilizing Controller Design for Systems with Time Delay
Explore strong stabilization techniques for LTI and time-delay systems, including a new controller family for unstable time-delay systems. Gain insights into robust stability and optimization challenges.
Generalization in Robotic Behavior Cloning: Pitfalls and Promises
Explore challenges and solutions in robotic behavior cloning, focusing on generalization in continuous state/action spaces. Gain insights into frameworks enabling agents to imitate complex behaviors with provable guarantees.
Sparse Nonlinear Dynamics Models with SINDy - The Library of Candidate Nonlinearities
Explores advanced techniques for SINDy algorithm, including control variables, bifurcation parameters, rational functions, dimensionality reduction, and symmetry constraints in nonlinear dynamics modeling.
Reinforcement Learning - Machine Learning Meets Control Theory
Explore reinforcement learning's intersection with control theory, covering key concepts, algorithms, and applications in this comprehensive overview of machine learning's powerful technique.
Control Theory and COVID-19
Explore exponential growth, its applications, and control theory in relation to COVID-19, covering models, sensors, and control design strategies.
Dynamical Systems
Explore advanced techniques in dynamical systems analysis, including SINDy, Koopman theory, and deep learning applications for modeling complex nonlinear systems.
Reinforcement Learning
Explora el Aprendizaje por Refuerzo, desde métodos básicos hasta redes neuronales y aplicaciones en dinámica de fluidos y control, en esta serie de 3.5 horas por Steve Brunton.
Data-Driven Control with Machine Learning
Explore machine learning techniques for data-driven control, covering system identification, model reduction, and advanced control strategies like MPC and reinforcement learning.
Linear Systems of Differential Equations with Forcing - Convolution and the Dirac Delta Function
Explores linear differential equations with forcing, covering impulse response, Dirac delta function, and convolution integral. Essential for control theory and linear systems analysis.
Systems of ODEs - Saddle Points and Instability
Explore unstable saddle points in 2D linear ODEs, their applications in energy-efficient transport, and analysis using eigenvalues, eigenvectors, and phase portraits.
The Non-Stochastic Control Problem - Elad Hazan
Explore advanced control theory for linear dynamical systems, covering adversarial noise, general loss functions, unknown systems, and partial observation in robotics, finance, and engineering.
Variational Formulations of Fokker-Planck Equations: Theory and Applications to Stability - Lecture 1
Explore variational formulations of Fokker-Planck equations, focusing on theory and applications to stability. Gain insights into advanced mathematical concepts at the doctorate level.
Control Theory and COVID-19 - Control Design
Exploring COVID-19 control strategies using control theory principles, including model predictive control, robustness, and addressing time delays in pandemic management.