Behzad Farzanegan

Orcid: 0000-0002-8660-2111

According to our database1, Behzad Farzanegan authored at least 12 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

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

Reinforcement Learning-Based Nonlinear Optimal Discrete-Time Control of Power Systems.
Proceedings of the IEEE Conference on Control Technology and Applications, 2025

Multi-Model Safe Neuro-Optimal Output Tracking Control of Autonomous Surface Vessels with Explainable AI.
Proceedings of the IEEE Conference on Control Technology and Applications, 2025

2024
Optimal Adaptive Tracking Control of Partially Uncertain Nonlinear Discrete-Time Systems Using Lifelong Hybrid Learning.
IEEE Trans. Neural Networks Learn. Syst., December, 2024

Data-Driven Distributed Optimal Control Using Neighbourhood Optimization for Nonlinear Interconnected Systems.
J. Optim. Theory Appl., October, 2024

Reinforcement Learning-Based Constrained Optimal Control of Strict-feedback Nonlinear Systems: Application to Autonomous Underwater Vehicles.
Proceedings of the IEEE Conference on Control Technology and Applications, 2024

2023
Continual Reinforcement Learning Formulation for Zero-Sum Game-Based Constrained Optimal Tracking.
IEEE Trans. Syst. Man Cybern. Syst., December, 2023

Continual Learning-based Optimal Output Tracking of Nonlinear Discrete-time Systems with Constraints: Application to Safe Cargo Transfer.
Proceedings of the IEEE Conference on Control Technology and Applications, 2023

Optimal Tracking of Nonlinear Discrete-time Systems using Zero-Sum Game Formulation and Hybrid Learning.
Proceedings of the American Control Conference, 2023

2022
Distributed optimal control for continuous-time nonaffine nonlinear interconnected systems.
Int. J. Control, 2022

A gradient ascent algorithm based on possibilistic fuzzy C-Means for clustering noisy data.
Expert Syst. Appl., 2022

Optimal Adaptive Output Regulation of Uncertain Nonlinear Discrete-time Systems using Lifelong Concurrent Learning.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022


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