Perspective for equipment automation in process industries B Sun, SL Jämsa-Jounela, Y Todorov, L Oliver E, I Craig IFAC-Papers-On-line 50 (2), 65-70, 2017 | 25 | 2017 |
Determination of particle size distribution and analysis of a natural food supplement on pectin base S Dyankova, M Doneva, Y Todorov, M Terziyska IOSR Journal Of Pharmacy 6 (5), 1-8, 2016 | 13 | 2016 |
Modeling of chaotic time series by interval type-2 neo-fuzzy neural network Y Todorov, M Terziyska Artificial Neural Networks and Machine Learning–ICANN 2014: 24th …, 2014 | 13 | 2014 |
Volterra model predictive control of a lyophilization plant YV Todorov, TD Tsvetkov 4th International IEEE Conference "Intelligent Systems" 3, 20/13-18, 2008 | 13 | 2008 |
Fuzzy-neural model predictive control of a building heating system M Terziyska, Y Todorov, M Petrov IFAC Workshop on "Energy Saving Control in Plants and Buildings", 69-74, 2006 | 13 | 2006 |
Nonlinear Model Based Predictive Controller using a Fuzzy-Neural Hammerstein model M Terzyiska, Y Todorov, A Mitev, M Petrov Modern Trends in Control, 299-308, 2006 | 13 | 2006 |
Efficient error-based metrics for fuzzy-neural network performance evaluation M Terziyska, Y Todorov, M Dobreva Studies on Computational Intelligence 728, 185-201, 2018 | 11 | 2018 |
Modern technological approaches for ensuring of harmless and quality fruits. D Miteva, K Dimov, I Nacheva, Y Todorov, M Doneva, P Metodieva, ... | 10 | 2014 |
Model predictive control of a lyophilization plant: a simplified approach using Wiener and Hammerstein systems Y Todorov, M Petrov Control and Intelligent Systems 39 (1), 23-32, 2011 | 9 | 2011 |
A Review of Big Data in Road Freight Transport Modeling–Gaps and Potentials W Shoman, S Yeh, F Sprei, J Köhler, P Plötz, Y Todorov, S Rantala, ... Data Science for Transportation 5 (1), 2023 | 8 | 2023 |
Recurrent Fuzzy-Neural Network with fast learning algorithm for predictive control Y Todorov, M Terzyiska, M Petrov Artificial Neural Networks and Machine Learning–ICANN 2013: 23rd …, 2013 | 8 | 2013 |
Adaptive supervisory tuning of nonlinear model predictive controller for a heat exchanger M Terziyska, Y Todorov, M Petrov IFAC Workshop on "Energy saving control in plants and buildings", 93-98, 2006 | 7 | 2006 |
Nonlinear Model Predictive Controller with Adaptive Learning rate Scheduling of an internal model M Terzyiska, Y Todorov, M Petrov Proc. of the Int. Conf.‘Modern Trends in Control, 289-298, 2006 | 7 | 2006 |
System level validation of an Electrical Bus Fleet Simulator J Anttila, Y Todorov, M Ranta, M Pihlatie 2019 IEEE Vehicle Power and Propulsion Conference, 2019 | 6 | 2019 |
Fuzzy-neural predictive control using Levenberg-Marquardt optimization approach Y Todorov, M Terzyiska, S Ahmed, M Petrov Innovations in Intelligent Systems and Applications (INISTA), 2013 IEEE …, 2013 | 6 | 2013 |
Soft computing applications in food technology Y Todorov, I Nacheva, P Metodieva, M Doneva, T Tsvetkov Bulgarian Journal of Agricultural Science 19 (3), 503-507, 2013 | 6 | 2013 |
Implementations of a Hammerstein fuzzy-neural model for predictive control of a lyophilization plant Y Todorov, S Ahmed, M Petrov, V Chitanov 2012 6th IEEE International Conference Intelligent Systems, 316-321, 2012 | 6 | 2012 |
Modern high technology solutions for quality and long-term vegetable preservation I Nacheva, D Miteva, Y Todorov, K Loginovska, T Tsvetkov Bulgarian Journal of Agricultural Science 18 (2), 161-165, 2012 | 6 | 2012 |
Adaptive Control of Distillation Column using Adaptive Critic Design P Koprinkova-Hristova, Y Todorov, N Paraschiv, M Olteanu, M Terziyska Process Control'17 - Stribske Pleso, Slovakia, 434-439, 2017 | 5 | 2017 |
Intuitionistic Fuzzy Radial Basis Functions Network for Modeling of Nonlinear Dynamics Y Todorov, M Terziyska, P Koprinkova-Hristova Process Control 2017 - Stribske Pleso, Slovakia, 410-415, 2017 | 5 | 2017 |