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Mahmood Mazare

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Open access Aug 2026

Observer‐Based Fixed‐Time Fault‐Tolerant Control for Constrained Euler–Lagrange Systems: An Adaptive Neural Approach

This paper presents a robust fixed‐time fault‐tolerant control (FTC) framework for Euler–Lagrange (EL) systems subject to unknown dynamics, intermittent actuator faults, and asymmetric state constraints. To effectively handle mismatched uncertainties and actuator degradation without relying on exact model knowledge,...

Mahmood Mazare, Hadi Asharioun · 0 citations
Jul 2026

Data-Driven Dead-Zone Compensation via Projection in Predictive Control Setting

Actuator dead-zones are a common and troublesome nonlinearity in motion control: a band of commanded effort over which the plant does not respond, leaving a steady-state offset or a limit cycle. This paper proposes a data-driven architecture that compensates such mismatches without a model of the plant and without any...

Mahmood Mazare, Hossein Ramezani · 0 citations
Preprint Jul 2026

Projection-Regularized Indirect Data-Driven Predictive Control

This paper introduces Projection-Regularized Predictive Control (PRPC), retaining the fundamental-lemma weight vector via a regularized projection analytically condensed into an efficient, fixed-dimension covariance update.

Mahmood Mazare, Hossein Ramezani · 0 citations
Conference Jul 2026

Convex Offset-Free Kernelized Data-Driven Predictive Control for Nonlinear Systems

This paper presents a Kernelized Data-Driven Predictive Control (KDPC) scheme for robust, offset-free tracking of nonlinear systems. To overcome the computational burden of direct data-driven methods, we employ a hybrid framework that learns the nonlinear dynamics in a Reproducing Kernel Hilbert Space (RKHS) via joint...

Mahmood Mazare, Hossein Ramezani · 0 citations

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