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Bibliographic Details
Main Authors:	Nguyen, Duc Cuong, Dao, Phuong Nam
Format:	Preprint
Published:	2026
Subjects:	Systems and Control
Online Access:	https://arxiv.org/abs/2605.09164
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Approximate Solution Methods for the Average Reward Criterion in Optimal Tracking Control of Linear Systems
by: Nguyen, Duc Cuong
Published: (2025)

Extended State Observer for Mismatch Disturbances Using Taylor Approximation of the Integral
by: Nguyen, Cuong Duc
Published: (2024)

Thermal Inverse design for resistive micro-heaters
by: Dao, Khoi Phuong, et al.
Published: (2024)

Flexibility Characterization of Sustainable Power Systems in Demand Space: A Data-Driven Inverse Optimization Approach
by: Awadalla, Mohamed, et al.
Published: (2022)

Offline Reinforcement Learning via Inverse Optimization
by: Dimanidis, Ioannis, et al.
Published: (2025)

A Cost-Optimization Model for EV Charging Stations Utilizing Solar Energy and Variable Pricing
by: Nguyen, An, et al.
Published: (2025)

Offline Hierarchical Reinforcement Learning via Inverse Optimization
by: Schmidt, Carolin, et al.
Published: (2024)

A Robust Optimization Model for Cost-Efficient and Fast Electric Vehicle Charging with L2-norm Uncertainty
by: Tran, Trung Duc, et al.
Published: (2025)

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization
by: Rivera, Antonio López, et al.
Published: (2024)

Convex Data-Driven Contraction With Riemannian Metrics
by: Oliveira, Andreas, et al.
Published: (2024)

Robust Control of Constrained Linear Systems using Online Convex Optimization and a Reference Governor
by: Nonhoff, Marko, et al.
Published: (2026)

Data-Driven Structured Robust Control of Linear Systems
by: Miller, Jared, et al.
Published: (2024)

On Convex Data-Driven Inverse Optimal Control for Nonlinear, Non-stationary and Stochastic Systems
by: Garrabe, Emiland, et al.
Published: (2023)

Structure- and Stability-Preserving Learning of Port-Hamiltonian Systems
by: Nguyen, Binh, et al.
Published: (2026)

IKSPARK: Obstacle-Aware Inverse Kinematics via Convex Optimization
by: Wu, Liangting, et al.
Published: (2024)

Data-Driven Continuous-Time Linear Quadratic Regulator via Closed-Loop and Reinforcement Learning Parameterizations
by: Gießler, Armin, et al.
Published: (2026)

Physics-Constrained Taylor Neural Networks for Learning and Control of Dynamical Systems
by: Nguyen, Nam T., et al.
Published: (2024)

3DIOC: Direct Data-Driven Inverse Optimal Control for LTI Systems
by: Qu, Chendi, et al.
Published: (2024)

On Data-Driven Robust Optimization With Multiple Uncertainty Subsets: Unified Uncertainty Set Representation and Mitigating Conservatism
by: Li, Yun, et al.
Published: (2025)

Value of Communication: Data-Driven Topology Optimization for Distributed Linear Cyber-Physical Systems
by: Nestor, Michael, et al.
Published: (2024)

Direct Data-Driven Linear Quadratic Tracking via Policy Optimization
by: Kang, Shubo, et al.
Published: (2026)

Data-Driven Robust Covariance Control for Uncertain Linear Systems
by: Pilipovsky, Joshua, et al.
Published: (2023)

Reinforcement Learning for Inverse Linear-quadratic Dynamic Non-cooperative Games
by: Martirosyan, Emin, et al.
Published: (2023)

Data-Driven Inverse Optimal Control for Continuous-Time Nonlinear Systems
by: Asl, Hamed Jabbari, et al.
Published: (2025)

Robust Data-Driven Kalman Filtering for Unknown Linear Systems using Maximum Likelihood Optimization
by: Duan, Peihu, et al.
Published: (2023)

Robust Deep Reinforcement Learning for Volt-VAR Optimization in Active Distribution System under Uncertainty
by: Chen, Zhengrong, et al.
Published: (2024)

A Convex Optimization Approach to Compute Trapping Regions for Lossless Quadratic Systems
by: Liao, Shih-Chi, et al.
Published: (2024)

A Survey on Convex Optimization for Guidance and Control of Vehicular Systems
by: Wang, Zhenbo
Published: (2023)

Data-Driven Model Reduction by Moment Matching for Linear and Nonlinear Parametric Systems
by: Zhang, Hanqing, et al.
Published: (2025)

Data-Driven Contextual-Aware Uncertainty Set for Robust Dispatch of Power Systems
by: Ruan, Zhaojun, et al.
Published: (2026)

Peak Estimation of Rational Systems using Convex Optimization
by: Miller, Jared, et al.
Published: (2023)

Robust pid sliding mode control for dc servo motor speed control
by: Vu, Ngoc Son, et al.
Published: (2025)

HUANet: Hard-Constrained Unrolled ADMM for Constrained Convex Optimization
by: Tran, Trinh, et al.
Published: (2026)

Balancing service provision by EV aggregator in different TSO-DSO coordination schemes
by: Nguyen, Hang, et al.
Published: (2025)

Optimized Pseudo-Linearization-Based Model Predictive Controller Design: Direct Data-Driven Approach
by: Sekine, Mikiya, et al.
Published: (2023)

Data-Driven Adaptive Output Regulation of Unknown Linear Systems
by: Liu, Shangkun, et al.
Published: (2025)

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

Koopman Control Factorization: Data-Driven Convex Controller Design for a Class of Nonlinear Systems
by: Ondogan, Taha, et al.
Published: (2025)

Optimize the parameters of the PID Controller using Genetic Algorithm for Robot Manipulators
by: Son, Vu Ngoc, et al.
Published: (2025)

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