From the 2 of 4 linked papers with an AI index.
4 papers
Data-Driven Dead-Zone Compensation via Projection in Predictive Control Setting
Mahmood Mazare, Hossein Ramezani
The paper proposes a data‑driven method that compensates actuator dead‑zones without a plant model by using an additional absolute predictor and a projection‑based correction withi…
Projection-Regularized Indirect Data-Driven Predictive Control
Mahmood Mazare, Hossein Ramezani
The paper proposes Projection-Regularized Predictive Control (PRPC), a data‑driven predictive control method that uses a regularized projection to improve prediction accuracy under…
Robust Offset-free Kernelized Data-Driven Predictive Control for Nonlinear Systems
Mahmood Mazare, Hossein Ramezani
This paper proposes a novel Kernelized Data-Driven Predictive Control (KDPC) scheme for robust, offset-free tracking of nonlinear systems. Our computationally efficient hybrid appr…
Noise-Tolerant Hybrid Approach for Data-Driven Predictive Control
Mahmood Mazare, Hossein Ramezani
This paper focuses on a key challenge in hybrid data-driven predictive control: the effect of measurement noise on Hankel matrices. While noise is handled in direct and indirect me…