ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2407.04143
  4. Cited By
Simultaneous System Identification and Model Predictive Control with No Dynamic Regret
v1v2v3v4v5 (latest)

Simultaneous System Identification and Model Predictive Control with No Dynamic Regret

4 July 2024
Hongyu Zhou
Vasileios Tzoumas
ArXiv (abs)PDFHTML

Papers citing "Simultaneous System Identification and Model Predictive Control with No Dynamic Regret"

36 / 36 papers shown
Title
Fast Online Adaptive Neural MPC via Meta-Learning
Fast Online Adaptive Neural MPC via Meta-Learning
Yu Mei
Xinyu Zhou
Shuyang Yu
Vaibhav Srivastava
Xiaobo Tan
112
0
0
23 Apr 2025
Predictive Linear Online Tracking for Unknown Targets
Predictive Linear Online Tracking for Unknown Targets
Anastasios Tsiamis
Aren Karapetyan
Yueshan Li
Efe C. Balta
John Lygeros
80
8
0
15 Feb 2024
Robust Control Barrier Functions using Uncertainty Estimation with Application to Mobile Robots
Robust Control Barrier Functions using Uncertainty Estimation with Application to Mobile Robots
Ersin Daş
J. W. Burdick
142
8
0
03 Jan 2024
Safe Non-Stochastic Control of Control-Affine Systems: An Online Convex
  Optimization Approach
Safe Non-Stochastic Control of Control-Affine Systems: An Online Convex Optimization Approach
Hongyu Zhou
Yichen Song
Vasileios Tzoumas
82
13
0
28 Sep 2023
$\mathcal{L}_1$Quad: $\mathcal{L}_1$ Adaptive Augmentation of Geometric
  Control for Agile Quadrotors with Performance Guarantees
L1\mathcal{L}_1L1​Quad: L1\mathcal{L}_1L1​ Adaptive Augmentation of Geometric Control for Agile Quadrotors with Performance Guarantees
Zhuohuan Wu
She-Min Cheng
Pan Zhao
Aditya Gahlawat
K. Ackerman
Arun Lakshmanan
Chunming Yang
Jiahao Yu
N. Hovakimyan
81
8
0
14 Feb 2023
Efficient Online Learning with Memory via Frank-Wolfe Optimization:
  Algorithms with Bounded Dynamic Regret and Applications to Control
Efficient Online Learning with Memory via Frank-Wolfe Optimization: Algorithms with Bounded Dynamic Regret and Applications to Control
Hongyu Zhou
Zirui Xu
Vasileios Tzoumas
140
13
0
02 Jan 2023
Active Learning of Discrete-Time Dynamics for Uncertainty-Aware Model
  Predictive Control
Active Learning of Discrete-Time Dynamics for Uncertainty-Aware Model Predictive Control
Alessandro Saviolo
Jonathan Frey
Abhishek Rathod
Moritz Diehl
Giuseppe Loianno
116
27
0
23 Oct 2022
Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds
Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds
Michael O'Connell
Guanya Shi
Xichen Shi
Kamyar Azizzadenesheli
Anima Anandkumar
Yisong Yue
Soon-Jo Chung
149
181
0
13 May 2022
Online Learning for Predictive Control with Provable Regret Guarantees
Online Learning for Predictive Control with Provable Regret Guarantees
Deepan Muthirayan
Jianjun Yuan
D. Kalathil
Pramod P. Khargonekar
86
5
0
30 Nov 2021
safe-control-gym: a Unified Benchmark Suite for Safe Learning-based
  Control and Reinforcement Learning in Robotics
safe-control-gym: a Unified Benchmark Suite for Safe Learning-based Control and Reinforcement Learning in Robotics
Zhaocong Yuan
Adam W. Hall
Siqi Zhou
Lukas Brunke
Melissa Greeff
Jacopo Panerati
Angela P. Schoellig
OffRL
166
55
0
13 Sep 2021
A Comparative Study of Nonlinear MPC and Differential-Flatness-Based
  Control for Quadrotor Agile Flight
A Comparative Study of Nonlinear MPC and Differential-Flatness-Based Control for Quadrotor Agile Flight
Sihao Sun
Angel Romero
Philipp Foehn
Elia Kaufmann
Davide Scaramuzza
116
152
0
03 Sep 2021
Nonparametric adaptive control and prediction: theory and randomized
  algorithms
Nonparametric adaptive control and prediction: theory and randomized algorithms
Nicholas M. Boffi
Stephen Tu
Jean-Jacques E. Slotine
110
22
0
07 Jun 2021
Data-Driven MPC for Quadrotors
Data-Driven MPC for Quadrotors
G. Torrente
Elia Kaufmann
Philip Föhn
Davide Scaramuzza
143
211
0
10 Feb 2021
Non-stationary Online Learning with Memory and Non-stochastic Control
Non-stationary Online Learning with Memory and Non-stochastic Control
Peng Zhao
Yu-Hu Yan
Yu Wang
Zhi Zhou
77
48
0
07 Feb 2021
Regret Bounds for Adaptive Nonlinear Control
Regret Bounds for Adaptive Nonlinear Control
Nicholas M. Boffi
Stephen Tu
Jean-Jacques E. Slotine
94
48
0
26 Nov 2020
Learning Quadrupedal Locomotion over Challenging Terrain
Learning Quadrupedal Locomotion over Challenging Terrain
Joonho Lee
Jemin Hwangbo
Lorenz Wellhausen
V. Koltun
Marco Hutter
155
1,181
0
21 Oct 2020
Regret-optimal control in dynamic environments
Regret-optimal control in dynamic environments
Gautam Goel
B. Hassibi
123
32
0
20 Oct 2020
Online Optimal Control with Affine Constraints
Online Optimal Control with Affine Constraints
Yingying Li
Subhro Das
Na Li
84
41
0
10 Oct 2020
Adaptive Regret for Control of Time-Varying Dynamics
Adaptive Regret for Control of Time-Varying Dynamics
Paula Gradu
Elad Hazan
Edgar Minasyan
88
47
0
08 Jul 2020
Introduction to Online Convex Optimization
Introduction to Online Convex Optimization
Elad Hazan
OffRL
204
1,943
0
07 Sep 2019
BayesSim: adaptive domain randomization via probabilistic inference for
  robotics simulators
BayesSim: adaptive domain randomization via probabilistic inference for robotics simulators
F. Ramos
Rafael Possas
Dieter Fox
60
158
0
04 Jun 2019
Online Control with Adversarial Disturbances
Online Control with Adversarial Disturbances
Naman Agarwal
Brian Bullins
Elad Hazan
Sham Kakade
Karan Singh
51
240
0
23 Feb 2019
Neural Lander: Stable Drone Landing Control using Learned Dynamics
Neural Lander: Stable Drone Landing Control using Learned Dynamics
Guanya Shi
Xichen Shi
Michael O'Connell
Rose Yu
Kamyar Azizzadenesheli
Anima Anandkumar
Yisong Yue
Soon-Jo Chung
115
276
0
19 Nov 2018
Accurate Tracking of Aggressive Quadrotor Trajectories using Incremental
  Nonlinear Dynamic Inversion and Differential Flatness
Accurate Tracking of Aggressive Quadrotor Trajectories using Incremental Nonlinear Dynamic Inversion and Differential Flatness
E. Tal
S. Karaman
54
163
0
11 Sep 2018
Learning to Adapt in Dynamic, Real-World Environments Through
  Meta-Reinforcement Learning
Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning
Anusha Nagabandi
I. Clavera
Simin Liu
R. Fearing
Pieter Abbeel
Sergey Levine
Chelsea Finn
164
555
0
30 Mar 2018
Differential Flatness of Quadrotor Dynamics Subject to Rotor Drag for
  Accurate Tracking of High-Speed Trajectories
Differential Flatness of Quadrotor Dynamics Subject to Rotor Drag for Accurate Tracking of High-Speed Trajectories
Matthias Faessler
Antonio Franchi
Davide Scaramuzza
48
309
0
06 Dec 2017
Model-Based Control Using Koopman Operators
Model-Based Control Using Koopman Operators
Ian Abraham
G. D. L. Torre
Todd Murphey
77
106
0
05 Sep 2017
Deep Learning in Robotics: A Review of Recent Research
Deep Learning in Robotics: A Review of Recent Research
H. A. Pierson
Michael S. Gashler
3DV
78
270
0
22 Jul 2017
On Kernelized Multi-armed Bandits
On Kernelized Multi-armed Bandits
Sayak Ray Chowdhury
Aditya Gopalan
129
464
0
03 Apr 2017
Domain Randomization for Transferring Deep Neural Networks from
  Simulation to the Real World
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
Joshua Tobin
Rachel Fong
Alex Ray
Jonas Schneider
Wojciech Zaremba
Pieter Abbeel
275
2,983
0
20 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
853
11,995
0
09 Mar 2017
Operator-Valued Bochner Theorem, Fourier Feature Maps for
  Operator-Valued Kernels, and Vector-Valued Learning
Operator-Valued Bochner Theorem, Fourier Feature Maps for Operator-Valued Kernels, and Vector-Valued Learning
H. Q. Minh
78
19
0
19 Aug 2016
Random Fourier Features for Operator-Valued Kernels
Random Fourier Features for Operator-Valued Kernels
Romain Brault
Florence dÁlché-Buc
Markus Heinonen
86
45
0
09 May 2016
Safe Controller Optimization for Quadrotors with Gaussian Processes
Safe Controller Optimization for Quadrotors with Gaussian Processes
Felix Berkenkamp
Angela P. Schoellig
Andreas Krause
92
301
0
03 Sep 2015
Breaking the Curse of Dimensionality with Convex Neural Networks
Breaking the Curse of Dimensionality with Convex Neural Networks
Francis R. Bach
227
706
0
30 Dec 2014
Finite-Time Analysis of Kernelised Contextual Bandits
Finite-Time Analysis of Kernelised Contextual Bandits
Michal Valko
N. Korda
Rémi Munos
I. Flaounas
N. Cristianini
203
275
0
26 Sep 2013
1