If you made any changes in Pure these will be visible here soon.

Personal profile

Keywords

  • TK Electrical engineering. Electronics Nuclear engineering
  • automation
  • process control
  • artificial intelligence
  • fuzzy systems
  • neural networks
  • machine learning
  • model preedictive control
  • optimization
  • control systems

Fingerprint Dive into the research topics where Y. Todorov is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Fuzzy neural networks Engineering & Materials Science
Fuzzy Neural Network Mathematics
Model predictive control Engineering & Materials Science
Controllers Engineering & Materials Science
Time series Engineering & Materials Science
Chaotic Time Series Mathematics
Predictive Control Mathematics
Glass Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2006 2019

System level validation of an Electrical Bus Fleet Simulator

Anttila, J., Todorov, Y., Ranta, M. & Pihlatie, M., 2019, (Accepted/In press).

Research output: Contribution to conferenceConference articleScientificpeer-review

Simulators
Electric vehicles
Powertrains
Energy utilization
Economics
1 Citation (Scopus)

Efficient Error Based Metrics for Fuzzy-Neural Network Performance Evaluation

Terziyska, M., Todorov, Y. & Dobreva, M., 1 Jan 2018, Advanced Computing in Industrial Mathematics - 11th Annual Meeting of the Bulgarian Section of SIAM, Revised Selected Papers. Todorov, M., Georgiev, I., Georgiev, K. & Georgiev, I. (eds.). p. 185-201 17 p. (Studies in Computational Intelligence, Vol. 728).

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

Fuzzy neural networks
Network performance
Fuzzy logic
Neurons
Time series

NEO-Fuzzy Neural Networks for Knowledge Based Modeling and Control of Complex Dynamical Systems

Todorov, Y. & Terziyska, M., 1 Jan 2018, Practical Issues of Intelligent Innovations. Sgurev, V., Jotsov, V. & Kacprzyk, J. (eds.). p. 181-214 34 p. (Studies in Systems, Decision and Control, Vol. 140).

Research output: Chapter in Book/Report/Conference proceedingChapter or book articleProfessional

Complex Dynamical Systems
control process
Fuzzy neural networks
Fuzzy Neural Network
Knowledge-based

Adaptive control of distillation column using adaptive critic design

Koprinkova-Hristova, P., Todorov, Y., Paraschiv, N., Olteanu, M. & Terziyska, M., 11 Jul 2017, Proceedings of the 2017 21st International Conference on Process Control, PC 2017. Kvasnica, M. & Fikar, M. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 434-439 6 p. 7976253

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

Adaptive Design
Distillation
Distillation columns
Adaptive Control
Flow Rate

Genetic algorithm for system modelling

Marius, O., Nicolae, P., Petia, K. & Yancho, T., 4 Dec 2017, Proceedings of the 9th International Conference on Electronics, Computers and Artificial Intelligence, ECAI 2017. Institute of Electrical and Electronics Engineers Inc., p. 1-4 4 p.

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

System Modeling
genetic algorithms
Artificial intelligence
Genetic algorithms
Genetic Algorithm