Dan Selisteanu

Orcid: 0000-0002-9770-405X

According to our database1, Dan Selisteanu authored at least 28 papers between 2008 and 2023.

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

Timeline

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Bibliography

2023
A Compact IIoT System for Remote Monitoring and Control of a Micro Hydropower Plant.
Sensors, February, 2023

Colored Petri nets-based control and experimental validation on three-tank system level control.
Int. J. Gen. Syst., January, 2023

Integrating AUTOSAR End-to-End Communication Protection Library Inside Automotive Actuators.
Proceedings of the 28th IEEE International Conference on Emerging Technologies and Factory Automation, 2023

Detection and Classification of Knee Ligament Pathology based on Convolutional Neural Networks.
Proceedings of the 9th International Conference on Control, 2023

2022
A Configurable Monitoring, Testing, and Diagnosis System for Electric Power Plants.
Sensors, 2022

Design and Performance Assessment of Adaptive Harmonic Control for a Half-Car Active Suspension System.
Complex., 2022

Wastewater Treatment Plants - Classical vs. Advanced and Intelligent Control Approaches.
Proceedings of the 16th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2022

Real-Time Parallel Processing of Vibration Signals Using FPGA Technology.
Proceedings of the Intelligent Systems and Applications, 2022

Optimization Possibilities for the Shortest-Path Algorithms in the Context of Large Volumes of Information.
Proceedings of the 8th International Conference on Control, 2022

Implementation of the CommA_v.3.0 system on AUTOSAR architecture using V2X communication.
Proceedings of the 8th International Conference on Control, 2022

2020
Robust Estimation-Based Control Strategies for Induction Motors.
Complex., 2020

DC Motor Control using Hand Gestures.
Proceedings of the 24th International Conference on System Theory, Control and Computing, 2020

Measurement and Display of Generated Signal Parameters: Power System Simulator and Software Application.
Proceedings of the 24th International Conference on System Theory, Control and Computing, 2020

2019
Estimation Based Control Strategies for an Alcoholic Fermentation Process with Unknown Inputs.
Proceedings of the 23rd International Conference on System Theory, Control and Computing, 2019

Software Sensors in Bioindustry: Asymptotic and Interval Observers for State Estimation.
Proceedings of the IEEE 2nd International Conference on Knowledge Innovation and Invention, 2019

2015
Comparison Of Several Control Strategies Of The BLDC Motors.
Proceedings of the 29th European Conference on Modelling and Simulation, 2015

2014
Robust Nonlinear Model Predictive Controller based on sensitivity analysis - Application to a continuous photobioreactor.
Proceedings of the 2014 IEEE Conference on Control Applications, 2014

2013
An Interactive Teaching System for Bond Graph Modeling and Simulation in Bioengineering.
J. Educ. Technol. Soc., 2013

Adaptive control technique for a propagation bioprocess carried out inside a fixed bed reactor.
Proceedings of the 2nd International Conference on Systems and Computer Science, 2013

Finite Time Response Control of State Blocking Systems.
Proceedings of the 19th International Conference on Control Systems and Computer Science, 2013

2012
Pseudo bond graph modeling of wastewater treatment bioprocesses.
Simul., 2012

Nonlinear indirect adaptive control of a Fed-batch fermentation Bioprocess.
Proceedings of the 17th International Conference on Methods & Models in Automation & Robotics, 2012

A Robust-Adaptive Control Strategy of a Class of Bioprocesses Using Interval Observers.
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012

2011
Neural Networks Based Model Predictive Control for a Lactic Acid Production Bioprocess.
Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2011

2010
Pseudo Bond Graph modelling and on-line estimation of unknown kinetics for a wastewater biodegradation process.
Simul. Model. Pract. Theory, 2010

Neural networks-based adaptive control for a class of nonlinear bioprocesses.
Neural Comput. Appl., 2010

Direct Adaptive Control of an Anaerobic Depollution Bioprocess Using Radial Basis Neural Networks.
Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2010

2008
Nonlinear and Neural Networks Based Adaptive Control for a Wastewater Treatment Bioprocess.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008


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