Tianyu Dai

According to our database, Tianyu Dai authored at least 15 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Robust Data-Driven Control of Discrete-Time Linear Systems With Errors in Variables.

Jared Miller, Tianyu Dai, Mario Sznaier

IEEE Trans. Autom. Control., February, 2025

Enhancing deep image prior with roughly clean pairs and spatially random sampling.

Shaoping Xu, Minghai Xiong, Changfei Zhou, Wuyong Tao, Tianyu Dai

Signal Image Video Process., January, 2025

2024

Data-Driven Superstabilizing Control Under Quadratically-Bounded Errors-in-Variables Noise.

Jared Miller, Tianyu Dai, Mario Sznaier

IEEE Control. Syst. Lett., 2024

Deep Learning of Dynamic Systems using System Identification Toolbox(TM).

Tianyu Dai, Khaled Aljanaideh, Rong Chen, Rajiv Singh, Alec Stothert, Lennart Ljung

CoRR, 2024

2023

Robust Data-Driven Safe Control Using Density Functions.

Jian Zheng, Tianyu Dai, Jared Miller, Mario Sznaier

IEEE Control. Syst. Lett., 2023

Data-driven quadratic stabilization and LQR control of LTI systems.

Tianyu Dai, Mario Sznaier

Autom., 2023

Data-Driven Control of Positive Linear Systems using Linear Programming.

Jared Miller, Tianyu Dai, Mario Sznaier, Bahram Shafai

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Superstabilizing Control of Discrete-Time ARX Models under Error in Variables.

Jared Miller, Tianyu Dai, Mario Sznaier

CoRR, 2022

Data-Driven Stabilizing and Robust Control of Discrete-Time Linear Systems with Error in Variables.

Jared Miller, Tianyu Dai, Mario Sznaier

CoRR, 2022

A convex optimization approach to synthesizing state feedback data-driven controllers for switched linear systems.

Tianyu Dai, Mario Sznaier

Autom., 2022

Data-Driven Superstabilizing Control of Error-in-Variables Discrete-Time Linear Systems.

Jared Miller, Tianyu Dai, Mario Sznaier

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

A Semi-Algebraic Optimization Approach to Data-Driven Control of Continuous-Time Nonlinear Systems.

Tianyu Dai, Mario Sznaier

IEEE Control. Syst. Lett., 2021

Nonlinear Data-Driven Control via State-Dependent Representations.

Tianyu Dai, Mario Sznaier

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2019

Worst-Case Optimal Data-Driven Estimators for Switched Discrete-Time Linear Systems.

Tianyu Dai, Mario Sznaier

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

A Moments Based Approach to Designing MIMO Data Driven Controllers for Switched Systems.

Tianyu Dai, Mario Sznaier

Proceedings of the 57th IEEE Conference on Decision and Control, 2018