11 citations · 11 across the 5 of their papers we have counts for
8 papers
Model Predictive Control of Wind Turbines: A Model-Oriented Review of Prediction Models, Control Objectives, and Nonlinear Aerodynamic Formulations
Roya Khalili-Amirabadi, Mohsen Jalaeian-Farimani, Mahdi Ghane
Model predictive control (MPC) has been applied to wind-turbine regulation with markedly different internal prediction models, ranging from linearized low-order turbine models to n…
A particle swarm optimization with a reduced-subspace trust-region safeguard for contact-rich controller tuning
Morteza Kimiaei, Roya Khalili-Amirabadi, Mohsen Jalaeian-Farimani
Contact-rich robotic insertion is challenging because uncertainty in alignment, friction, and contact conditions can lead to unsuccessful assembly, excessive contact forces, and ja…
Risk-Constrained MPPI Tuning with Update-Aware MA-ES Racing
Morteza Kimiaei, Roya Khalili-Amirabadi, Mohsen Jalaeian-Farimani
We formulate offline tuning of Model Predictive Path Integral (MPPI) controllers as a chance-constrained black-box optimization problem and develop an update-aware framework based…
ETM-3D: A One-Parameter Multistable Quadratic Flow with an Explicit Absorbing Set and Intermittent Chaos
Roya Khalili-Amirabadi, Mohsen Jalaeian-Farimani
We study a one-parameter three-dimensional quadratic flow, denoted ETM-3D, on the benchmark domain . Its homogeneous quadratic triad preserves Euclidean quadratic energy, w…
A Dynamic-Growing Fuzzy-Neuro Controller, Application to a 3PSP Parallel Robot
Mohsen Jalaeian-Farimani, Mohammad-R Akbarzadeh-T, Alireza Akbarzadeh +1
To date, various paradigms of soft-Computing have been used to solve many modern problems. Among them, a self organizing combination of fuzzy systems and neural networks can make a…
A Systematic Review and Taxonomy of Reinforcement Learning-Model Predictive Control Integration for Linear Systems
Mohsen Jalaeian Farimani, Roya Khalili Amirabadi, Davoud Nikkhouy +4
The integration of Model Predictive Control (MPC) and Reinforcement Learning (RL) has emerged as a promising paradigm for constrained decision-making and adaptive control. MPC offe…
Self-Organizing Dual-Buffer Adaptive Clustering Experience Replay (SODACER) for Safe Reinforcement Learning in Optimal Control
Roya Khalili Amirabadi, Mohsen Jalaeian Farimani, Omid Solaymani Fard
This paper proposes a novel reinforcement learning framework, named Self-Organizing Dual-buffer Adaptive Clustering Experience Replay (SODACER), designed to achieve safe and scalab…
Enhanced-FQL(), an Efficient and Interpretable RL with novel Fuzzy Eligibility Traces and Segmented Experience Replay
Mohsen Jalaeian-Farimani, Xiong Xiong, Luca Bascetta
This paper introduces a fuzzy reinforcement learning framework, Enhanced-FQL(), that integrates novel Fuzzified Eligibility Traces (FET) and Segmented Experience Replay (SER) in…