M.B. (Bahadir) Saltik, MSc

  • 26 Citations
20132019
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Personal profile

Research profile

My name is Muhammed Bahadir Saltik. I was born at 06.09.1989 in Turkey. I started my Bachelor education in Middle East Technical University (METU) Electrical and Electronics Engineering (EEE) department and graduated from there with an Honours degree. After graduating from EEE department, I attended the Systems and Control(S&C) graduate program in Eindhoven University of Technology(TU-E). My graduation project was supervised by Prof. Dr. Maurice Heemels and named “Event Triggered Output Feedback Control of LTI Systems”, which deals mainly with the state estimation and optimal control of considered plant in connection with Event Triggering Mechanism. Right now, I started the Improved Process Operation via Rigorous Simulation Models (IMPROVISE) project under supervision of Dr. Leyla Ozkan at TU-E Electrical Engineering Department. This project tries to align the rigorous models with the considered process behavior and determine the optimal operation for the considered process which is affected by uncertainty.

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  • 2 Similar Profiles
Model predictive control Engineering & Materials Science
Ultrafiltration Engineering & Materials Science
Membranes Engineering & Materials Science
Scheduling Engineering & Materials Science
Observability Engineering & Materials Science
Positive Polynomials Mathematics
Descriptor Systems Mathematics
Hankel Mathematics

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Research Output 2013 2019

20 Downloads (Pure)

Model learning predictive control for batch processes: A Reactive Batch Distillation Column Case Study

Marquez Ruiz, A., Loonen, M. A. C., Saltik, B. & Ozkan, L., 2019, In : Industrial and Engineering Chemistry Research. 58, 30, p. 3737-13749

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Distillation columns
Model predictive control
Batch reactors
1 Downloads (Pure)

Optimal Hankel norm model reduction for discrete-time descriptor systems

Cao, X., Saltik, M. B. & Weiland, S., May 2019, In : Journal of the Franklin Institute. 356, 7, p. 4124-4143 20 p.

Research output: Contribution to journalArticleAcademicpeer-review

Descriptor Systems
Hankel
Model Reduction
Discrete-time Systems
Norm
13 Citations (Scopus)
4 Downloads (Pure)
Open Access
Model predictive control
Model Predictive Control
Control Algorithm
Closed-loop
Computational complexity

Model learning predictive control with applications to batch processes

Loonen, M. A. C., Saltik, M. B., Marquez-Ruiz, A. & Ozkan, L., Mar 2018, p. 152-152.

Research output: Contribution to conferenceAbstractAcademic

1 Downloads (Pure)

Optimal Hankel norm approximation for continuous-time descriptor systems

Cao, X., Saltik, M. B. & Weiland, S., 9 Aug 2018, 2018 Annual American Control Conference, ACC 2018. Piscataway: Institute of Electrical and Electronics Engineers, p. 6409-6414 8431684

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Observability

Student theses

Model learning predictive control with applications to batch processes

Author: Loonen, M., 28 Jun 2018

Supervisor: Weiland, S. (Supervisor 1), Ozkan, L. (Supervisor 2), Marquez Ruiz, A. (Supervisor 2) & Saltik, M. (Supervisor 2)

Student thesis: Master

Reactive scheduling of manufacturing plants using a safety driven modelling approach

Author: van Gameren, S., 22 Jun 2017

Supervisor: Saltik, B. (Supervisor 1) & Ozkan, L. (Supervisor 2)

Student thesis: Master