Optimal Adaptive Output Regulation of Uncertain Nonlinear Discrete-time Systems using Lifelong Concurrent Learning. - Rohollah Moghadam; Behzad Farzanegan; Sarangapani Jagannathan; P. Natarajan (CDC, 2022)

A gradient ascent algorithm based on possibilistic fuzzy C-Means for clustering noisy data. - Hossein Saberi; Reza Sharbati; Behzad Farzanegan (Expert Syst. Appl., 2022)

Distributed optimal control for continuous-time nonaffine nonlinear interconnected systems. - Behzad Farzanegan; Amir Abolfazl Suratgar; Mohammad Bagher Menhaj; Mohsen Zamani (Int. J. Control, 2022)

Optimal Tracking of Nonlinear Discrete-time Systems using Zero-Sum Game Formulation and Hybrid Learning. - Behzad Farzanegan; Sarangapani Jagannathan (ACC, 2023)

Continual Learning-based Optimal Output Tracking of Nonlinear Discrete-time Systems with Constraints: Application to Safe Cargo Transfer. - Behzad Farzanegan; S. Jagannathan (CCTA, 2023)

Continual Reinforcement Learning Formulation for Zero-Sum Game-Based Constrained Optimal Tracking. - Behzad Farzanegan; Sarangapani Jagannathan (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Reinforcement Learning-Based Constrained Optimal Control of Strict-feedback Nonlinear Systems: Application to Autonomous Underwater Vehicles. - Behzad Farzanegan; Sarangapani Jagannathan (CCTA, 2024)

Data-Driven Distributed Optimal Control Using Neighbourhood Optimization for Nonlinear Interconnected Systems. - Behzad Farzanegan; Mohammad Bagher Menhaj; Amir Abolfazl Suratgar (J. Optim. Theory Appl., 2024)

Optimal Adaptive Tracking Control of Partially Uncertain Nonlinear Discrete-Time Systems Using Lifelong Hybrid Learning. - Behzad Farzanegan; Rohollah Moghadam; Sarangapani Jagannathan; Pappa Natarajan (IEEE Trans. Neural Networks Learn. Syst., 2024)

Explainable and Safety Aware Deep Reinforcement Learning-Based Control of Nonlinear Discrete-Time Systems Using Neural Network Gradient Decomposition. - Behzad Farzanegan; Sarangapani Jagannathan (IEEE Trans Autom. Sci. Eng., 2025)