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CDC2021 — Distributed Learning of Optimal Controls for Linear Systems
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A distributed algorithm that computes a control input to reach a desired target configuration with provable, and tunable, suboptimality guarantees. From data.
CDC2021 — Distributed Learning of Optimal Controls for Linear Systems
Scalable Distributed Control and Learning of Networked Dynamical Systems
Differentiable Moving Horizon Estimation for Robust Flight Control (IEEE CDC 2021)
Adam Wierman - Learning & Control in Safety-Critical Systems
Presentation at Control and Decision Conference, Autin, texas, USA (CDC 2021)
Distributed Moving Horizon Estimator with L-step Neighbourhood and pre-estimation observer | CDC
LAW@CDC2021 My Idea, My Property!
Linearized Three-Phase Optimal Power Flow Models for Distribution Grids with Voltage Unbalance
Presentation in European Control Conference (ECC 2021)
2021 ACC Plenary Dr. Sam Coogan
3: Robotics Tutorial for Beginners | Control Design
Rameez Wajid: Safety Controller Synthesis for Unknown Dynamical Systems
4th ConFlex Meeting: Stabilisation of mixed ODE-PDE port-Hamiltonian systems, A. Mattioni, UBFC
(IEEE BDA Tutorial Series) Spatio-Temporal Learning for Enhanced Situational Awareness of Power Grid
A. Mironchenko. Construction of ISS Lyapunov functions for infinite networks of ISS systems.
2022 Research Briefings: Harmit S. Malik, Fred Hutchinson Cancer Research Center
Jukka-Pekka Humaloja - Inferring the Adjoint Turnpike Property From The Primal Turnpike Property
CS 159 (Spring 2021) -- Model Predictive Control
Abstracting the Sampling Behaviour of Stochastic Linear Periodic Event-Triggered Control Systems
Data-Driven Predictive Control using Reachability Analysis - ECC 2022
Dealing with Creditors
RI Seminar: Soon-Jo Chung : Safe and Stable Learning for Agile Robots without Reinforcement Learning
2021 Telluride Neuromorphic workshop Day 3 - Rosolia, Marder, Ienca
