Cover Image

Predictive Linear Online Tracking for Unknown Targets

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tsiamis, Anastasios, Karapetyan, Aren, Li, Yueshan, Balta, Efe C., Lygeros, John
Format:	Preprint
Published:	2024
Subjects:	Systems and Control Machine Learning Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Online Residual Learning from Offline Experts for Pedestrian Tracking
by: Vlachos, Anastasios, et al.
Published: (2024)

Online Linear Quadratic Tracking with Regret Guarantees
by: Karapetyan, Aren, et al.
Published: (2023)

On the Regret of Recursive Methods for Discrete-Time Adaptive Control with Matched Uncertainty
by: Karapetyan, Aren, et al.
Published: (2024)

Policy Optimization for Unknown Systems using Differentiable Model Predictive Control
by: Zuliani, Riccardo, et al.
Published: (2025)

Finite Sample Frequency Domain Identification
by: Tsiamis, Anastasios, et al.
Published: (2024)

Closed-Loop Finite-Time Analysis of Suboptimal Online Control
by: Karapetyan, Aren, et al.
Published: (2023)

Differentiable-by-design Nonlinear Optimization for Model Predictive Control
by: Zuliani, Riccardo, et al.
Published: (2025)

Closed-loop Performance Optimization of Model Predictive Control with Robustness Guarantees
by: Zuliani, Riccardo, et al.
Published: (2024)

Data-Driven Distributionally Robust System Level Synthesis
by: Micheli, Francesco, et al.
Published: (2024)

BP-MPC: Optimizing the Closed-Loop Performance of MPC using BackPropagation
by: Zuliani, Riccardo, et al.
Published: (2023)

Policy Optimization with Differentiable MPC: Convergence Analysis under Uncertainty
by: Zuliani, Riccardo, et al.
Published: (2026)

Operator Splitting for Convex Constrained Markov Decision Processes
by: Grontas, Panagiotis D., et al.
Published: (2024)

A Unified Control-Theoretic Framework for Saddle-Point Dynamics in Constrained Optimization
by: Centorrino, Veronica, et al.
Published: (2026)

Closed-loop Analysis of ADMM-based Suboptimal Linear Model Predictive Control
by: Srikanthan, Anusha, et al.
Published: (2024)

Data-Driven Adversarial Online Control for Unknown Linear Systems
by: Liu, Zishun, et al.
Published: (2023)

Data-Driven Extrusion Force Control Tuning for 3D Printing
by: Guidetti, Xavier, et al.
Published: (2024)

Online Identification of Stochastic Continuous-Time Wiener Models Using Sampled Data
by: Abdalmoaty, Mohamed, et al.
Published: (2024)

Pinet: Optimizing hard-constrained neural networks with orthogonal projection layers
by: Grontas, Panagiotis D., et al.
Published: (2025)

Inverse Optimal Control for Linear Quadratic Tracking with Unknown Target States
by: Li, Yao, et al.
Published: (2024)

A PAC-Bayes Approach for Controlling Unknown Linear Discrete-time Systems
by: Luo, Yujia, et al.
Published: (2026)

Parallel Model Predictive Control for Deterministic Systems
by: Li, Yuchao, et al.
Published: (2023)

Towards a Systems Theory of Algorithms
by: Dörfler, Florian, et al.
Published: (2024)

Online Nonstochastic Prediction: Logarithmic Regret via Predictive Online Least Squares
by: Pai, Chih-Fan, et al.
Published: (2026)

Semismooth Newton Methods for Risk-Averse Markov Decision Processes
by: Gargiani, Matilde, et al.
Published: (2025)

Online Control of Linear Systems under Unbounded Noise
by: Ito, Kaito, et al.
Published: (2024)

Online Reinforcement Learning in Markov Decision Process Using Linear Programming
by: Leon, Vincent, et al.
Published: (2023)

Regret Analysis of Policy Optimization over Submanifolds for Linearly Constrained Online LQG
by: Chang, Ting-Jui, et al.
Published: (2024)

Analysis of Thompson Sampling for Controlling Unknown Linear Diffusion Processes
by: Faradonbeh, Mohamad Kazem Shirani, et al.
Published: (2022)

Physics-informed Gaussian Processes as Linear Model Predictive Controller
by: Tebbe, Jörn, et al.
Published: (2024)

Interpolation Conditions for Data Consistency and Prediction in Noisy Linear Systems
by: Vanelli, Martina, et al.
Published: (2025)

Swarm-Based Trajectory Generation and Optimization for Stress-Aligned 3D Printing
by: Guidetti, Xavier, et al.
Published: (2024)

Reservoir Predictive Path Integral Control for Unknown Nonlinear Dynamics
by: Inoue, Daisuke, et al.
Published: (2025)

Learning-Based Optimal Control with Performance Guarantees for Unknown Systems with Latent States
by: Lefringhausen, Robert, et al.
Published: (2023)

Joint Chance Constrained Optimal Control via Linear Programming
by: Schmid, Niklas, et al.
Published: (2024)

Data-Enabled Predictive Iterative Control
by: Zhang, Kai, et al.
Published: (2024)

Online Tracking with Predictions for Nonlinear Systems with Koopman Linear Embedding
by: Pai, Chih-Fan, et al.
Published: (2026)

Dual Control of Linear Systems from Bilinear Observations with Belief Space Model Predictive Control
by: Cao, Daniel, et al.
Published: (2026)

Iterative Learning Predictive Control for Constrained Uncertain Systems
by: Zuliani, Riccardo, et al.
Published: (2025)

Tsallis Entropy Regularization for Linearly Solvable MDP and Linear Quadratic Regulator
by: Hashizume, Yota, et al.
Published: (2024)

Differentiable Model Predictive Control on the GPU
by: Adabag, Emre, et al.
Published: (2025)