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Cristina I. Muresan

Researcher at Technical University of Cluj-Napoca

Publications -  140
Citations -  1516

Cristina I. Muresan is an academic researcher from Technical University of Cluj-Napoca. The author has contributed to research in topics: PID controller & Control theory. The author has an hindex of 14, co-authored 122 publications receiving 1046 citations. Previous affiliations of Cristina I. Muresan include Core Laboratories.

Papers
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Multivariable Fractional Order PI Autotuning Method for Heterogeneous Dynamic Systems

TL;DR: The proposed robust Fractional Order Proportional-Integral autotuning control strategy is presented and applied to heterogeneous dynamic systems using decentralized control and its performance is compared against two other fractional order controllers based on PI gain-crossover autotuned method and Internal Model Control.
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An Efficient Design and Implementation of a Quadrotor Unmanned Aerial Vehicle Using Quaternion-Based Estimator

TL;DR: A quaternion-based estimator used in the control loop to design a low-cost, performing quadrotor unmaned aerial vehicle (UAV) system and its efficacy is evaluated by extended experimental results.
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Simplified Optimization Routine for Tuning Robust Fractional Order Controllers

TL;DR: A modified graphical method using a very straightforward and simple optimization routine is proposed within the paper, for tuning fractional order PI and PD controllers.
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An alternative design approach for Fractional Order Internal Model Controllers for time delay systems.

TL;DR: In this paper, an alternative design procedure of FO-IMC controllers based on a novel approximation method of the process time delay, proving the efficiency of the proposed method and its suitability for time delay systems.
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Fractional-Order Control Strategy for Anesthesia–Hemodynamic Stabilization in Patients Undergoing Surgical Procedures

TL;DR: The very first multivariable fractional-order controller is developed in this paper for the combined anesthesia–hemodynamic system and simulation studies show the effectiveness of the proposed approach.