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Oleg N. Granichin
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- affiliation: Saint Petersburg State University, Russia
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2020 – today
- 2023
- [c44]Elena Borisoglebskaya, Victoria Erofeeva, Oleg N. Granichin, Yury Ivanskiy, Natalia Kizhaeva:
Distributed Load Balancing Based on Modified Local Voting Protocol. CoDIT 2023: 2032-2036 - [c43]Victoria Erofeeva, Oleg N. Granichin:
Improved Simultaneous Perturbation Stochastic Approximation-based Consensus Algorithm for Tracking. MED 2023: 850-855 - 2022
- [c42]Victoria Erofeeva, Oleg N. Granichin, Munira Tursunova, Anna Sergeenko, Yuming Jiang:
Accelerated Simultaneous Perturbation Stochastic Approximation for Tracking Under Unknown-but-Bounded Disturbances. ACC 2022: 1582-1587 - [c41]Denis Uzhva, Oleg N. Granichin, Olga Granichina:
Compressed Cluster Sensing in Multiagent IoT Control. CDC 2022: 3580-3585 - 2021
- [j18]Oleg N. Granichin, Victoria Erofeeva, Yury Ivanskiy, Yuming Jiang:
Simultaneous Perturbation Stochastic Approximation-Based Consensus for Tracking Under Unknown-But-Bounded Disturbances. IEEE Trans. Autom. Control. 66(8): 3710-3717 (2021) - [c40]Evgenii Bogdanov, Alexander Bozhnyuk, David Bykov, Stanislav Sartasov, Anna Sergeenko, Oleg N. Granichin:
Dynamic Voltage-Frequency Optimization using Simultaneous Perturbation Stochastic Approximation. CDC 2021: 3774-3779 - [c39]Evgenii Bogdanov, Alexander Bozhnyuk, Stanislav Sartasov, Oleg N. Granichin:
On Application of Simultaneous Perturbation Stochastic Approximation for Dynamic Voltage-Frequency Scaling in Android OS. EBCCSP 2021: 1-7 - [c38]Victoria Erofeeva, Oleg N. Granichin, Olga Granichina, Anton V. Proskurnikov, Anna Sergeenko:
Weighted SPSA-based Consensus Algorithm for Distributed Cooperative Target Tracking. ECC 2021: 1074-1079 - 2020
- [j17]Olga Bernikova, Oleg N. Granichin, Dan Lemberg, Oleg Redkin, Zeev Volkovich:
Entropy-Based Approach for the Detection of Changes in Arabic Newspapers' Content. Entropy 22(4): 441 (2020) - [c37]Aleksandr Senov, Oleg N. Granichin, Olga Granichina:
A Sequential Subspace Quasi-Newton Method for Large-Scale Convex Optimization. ACC 2020: 3627-3632 - [c36]Anna Sergeenko, Oleg N. Granichin, Anton V. Proskurnikov:
Advanced SPSA-based Algorithm for Multi-Target Tracking in Distributed Sensor Networks. CDC 2020: 2424-2429 - [c35]Andrei A. Boiarov, Oleg N. Granichin, Olga Granichina:
Simultaneous Perturbation Stochastic Approximation for Few-Shot Learning. ECC 2020: 350-355 - [c34]Natalia O. Amelina, Andrey Chernov, Oleg N. Granichin, Yury Ivanskiy, Irina Len:
Network Traffic Load Balancing Protocol. ECC 2020: 906-910 - [c33]Oleg N. Granichin, Denis Uzhva:
Invariance Preserving Control of Clusters Recognized in Networks of Kuramoto Oscillators. RCAI 2020: 472-486 - [i4]Andrei A. Boiarov, Oleg N. Granichin, Olga Granichina:
Simultaneous Perturbation Stochastic Approximation for Few-Shot Learning. CoRR abs/2006.05152 (2020) - [i3]Dmitry S. Shalymov, Oleg N. Granichin, Zeev Volkovich, Gerhard-Wilhelm Weber:
Multi-agent control of airplane wing stability under the flexural torsion flutter. CoRR abs/2012.04582 (2020)
2010 – 2019
- 2019
- [j16]Andrei A. Boiarov, Oleg N. Granichin:
Stochastic Approximation Algorithm with Randomization at the Input for Unsupervised Parameters Estimation of Gaussian Mixture Model with Sparse Parameters. Autom. Remote. Control. 80(8): 1403-1418 (2019) - [j15]Natalia O. Amelina, Oleg N. Granichin, Alexander L. Fradkov:
The Method of Averaged Models for Discrete-Time Adaptive Systems. Autom. Remote. Control. 80(10): 1755-1782 (2019) - [j14]Zixuan Chen, Zekai Xu, Weiwei Yi, Xin Yang, Wenguang Hou, Mingyue Ding, Oleg N. Granichin:
Real-time and multimodal brain slice-to-volume registration using CNN. Expert Syst. Appl. 133: 86-96 (2019) - [j13]Dong Hua, Oleg N. Granichin, Xiaoping Zhang, Mingyue Ding, Huageng Liang, Xuming Zhang:
3D Motion Planning for Flexible Needle Insertion Based on Rapidly-Exploring Random Trees with Environment-Adaptive Sampling and Central Angle Control. J. Medical Imaging Health Informatics 9(7): 1524-1533 (2019) - [c32]Dmitry Kosaty, Alexander Vakhitov, Oleg N. Granichin, Ming Yuchi:
Stochastic Fast Gradient for Tracking. ACC 2019: 1476-1481 - [c31]Konstantin S. Amelin, Natalia O. Amelina, Oleg N. Granichin, Olga Granichina, Yury Ivanskiy:
Synchronization of Multi-Agent System of "Feathers" on the Surface of the Wing in a Turbulent Airflow. CCTA 2019: 355-359 - [c30]Victoria Erofeeva, Oleg N. Granichin, Natalia O. Amelina, Yury Ivanskiy, Yuming Jiang:
Distributed Tracking via Simultaneous Perturbation Stochastic Approximation-based Consensus Algorithm. CDC 2019: 6050-6055 - [c29]Alexander Kalmuk, Kirill Tyushev, Oleg N. Granichin, Mingyue Ding, Ming Yuchi:
Randomized MPC with Model Uncertainties Based on LSCR Approach. ECC 2019: 4307-4312 - [c28]Victoria Erofeeva, Oleg N. Granichin, Olga Granichina, Anna Sergeenko, Sergey Trapitsin:
Sensor Selection under Unknown but Bounded Disturbances in Multi- Target Tracking Problem. MED 2019: 215-220 - 2018
- [j12]Oleg N. Granichin, V. A. Erofeeva:
Cyclic Stochastic Approximation with Disturbance on Input in the Parameter Tracking Problem Based on a Multiagent Algorithm. Autom. Remote. Control. 79(6): 1013-1028 (2018) - [j11]Konstantin S. Amelin, Oleg N. Granichin, Natalia Kizhaeva, Zeev Volkovich:
Patterning of writing style evolution by means of dynamic similarity. Pattern Recognit. 77: 45-64 (2018) - [j10]Dimitrios J. Vergados, Natalia O. Amelina, Yuming Jiang, Katina Kralevska, Oleg N. Granichin:
Toward Optimal Distributed Node Scheduling in a Multihop Wireless Network Through Local Voting. IEEE Trans. Wirel. Commun. 17(1): 400-414 (2018) - 2017
- [j9]Oleg N. Granichin, Tatjana A. Khantuleva:
Adapting wing elements ("feathers") of an airplane in a turbulent flow with a multiagent protocol. Autom. Remote. Control. 78(10): 1867-1882 (2017) - [c27]Oleg N. Granichin, Tatjana A. Khantuleva, Olga Granichina:
Local voting protocol for the adaptation of airplane's "feathers" in a turbulence flow. ACC 2017: 5684-5689 - [c26]Alexander Kalmuk, Kirill Tyushev, Oleg N. Granichin, Ming Yuchi:
Online parameter estimation for MPC model uncertainties based on LSCR approach. CCTA 2017: 1256-1261 - [c25]Andrei A. Boiarov, Oleg N. Granichin, Wenguang Hou:
Simultaneous perturbation stochastic approximation for clustering of a Gaussian mixture model under unknown but bounded disturbances. CCTA 2017: 1740-1745 - [c24]Natalia Kizhaeva, Zeev Volkovich, Oleg N. Granichin, Olga Granichina, Vladimir Kiyaev:
Spectral profiling of writing process. CCTA 2017: 2063-2068 - [c23]Marina Volkova, Grigory Volkov, Oleg N. Granichin, Yuri Petrov:
Sign-perturbed sums approach for data treatment of dynamic fracture tests. CDC 2017: 1652-1656 - [c22]Dimitrios J. Vergados, Natalia O. Amelina, Yuming Jiang, Katina Kralevska, Oleg N. Granichin:
Local voting: Optimal distributed node scheduling algorithm for multihop wireless networks. INFOCOM Workshops 2017: 1014-1015 - [i2]Dimitrios J. Vergados, Natalia O. Amelina, Yuming Jiang, Katina Kralevska, Oleg N. Granichin:
Towards Optimal Distributed Node Scheduling in a Multihop Wireless Network through Local Voting. CoRR abs/1701.09010 (2017) - [i1]Dimitrios J. Vergados, Natalia O. Amelina, Yuming Jiang, Katina Kralevska, Oleg N. Granichin:
Local Voting: Optimal Distributed Node Scheduling Algorithm for Multihop Wireless Networks. CoRR abs/1703.00731 (2017) - 2016
- [j8]Dmitry S. Krivokon, Alexander T. Vakhitov, Oleg N. Granichin:
Estimating the position of a moving object based on test disturbance of camera position. Autom. Remote. Control. 77(2): 297-312 (2016) - [j7]Dmitry S. Shalymov, Oleg N. Granichin, Lev Klebanov, Zeev Volkovich:
Literary writing style recognition via a minimal spanning tree-based approach. Expert Syst. Appl. 61: 145-153 (2016) - [j6]Zeev Volkovich, Oleg N. Granichin, Oleg Redkin, Olga Bernikova:
Modeling and visualization of media in Arabic. J. Informetrics 10(2): 439-453 (2016) - [j5]Konstantin S. Amelin, Oleg N. Granichin:
Randomized Control Strategies Under Arbitrary External Noise. IEEE Trans. Autom. Control. 61(5): 1328-1333 (2016) - [c21]Alexander Kalmuk, Oleg N. Granichin, Olga Granichina, Mingyue Ding:
Detection of abrupt changes in autonomous system fault analysis using spatial adaptive estimation of nonparametric regression. ACC 2016: 6839-6844 - [c20]Natalia O. Amelina, Oleg N. Granichin, Olga Granichina, Ilia Kirianovskii, Timofey Prodanov:
Randomized algorithms with adaptive tuning of parameters for detecting communities in graphs. CDC 2016: 6222-6227 - 2015
- [b1]Oleg N. Granichin, Zeev Volkovich, Dvora Toledano-Kitai:
Randomized Algorithms in Automatic Control and Data Mining. Intelligent Systems Reference Library 67, Springer 2015, ISBN 978-3-642-54785-0, pp. 3-228 - [j4]Oleg N. Granichin:
Stochastic approximation search algorithms with randomization at the input. Autom. Remote. Control. 76(5): 762-775 (2015) - [j3]Oleg N. Granichin, Natalia O. Amelina:
Simultaneous Perturbation Stochastic Approximation for Tracking Under Unknown but Bounded Disturbances. IEEE Trans. Autom. Control. 60(6): 1653-1658 (2015) - [c19]Yury Ivanskiy, Natalia O. Amelina, Oleg N. Granichin, Olga Granichina, Yuming Jiang:
Optimal step-size of a local voting protocol for differentiated consensuses achievement in a stochastic network with cost constraints. CCA 2015: 1367-1372 - [c18]Natalia O. Amelina, Oleg N. Granichin, Olga Granichina, Yury Ivanskiy, Yuming Jiang:
Optimal step-size of a local voting protocol for differentiated consensuses achievement in a stochastic network with priorities. ECC 2015: 628-633 - 2014
- [c17]Natalia O. Amelina, Oleg N. Granichin, Olga Granichina, Yury Ivanskiy, Yuming Jiang:
Differentiated consensuses in a stochastic network with priorities. ISIC 2014: 264-269 - [c16]Alexander Senov, Konstantin S. Amelin, Natalia O. Amelina, Oleg N. Granichin:
Exact confidence regions for linear regression parameter under external arbitrary noise. ACC 2014: 5097-5102 - [c15]Natalia O. Amelina, Oleg N. Granichin, Olga Granichina, Yuming Jiang:
Differentiated consensuses in decentralized load balancing problem with randomized topology, noise, and delays. CDC 2014: 6969-6974 - 2013
- [c14]Konstantin S. Amelin, Natalia O. Amelina, Oleg N. Granichin, Olga Granichina, Boris R. Andrievsky:
Randomized Algorithm for UAVs Group Flight Optimization. ALCOSP 2013: 205-208 - [c13]Natalia O. Amelina, Oleg N. Granichin, Aleksandra Kornivetc:
Local voting protocol in decentralized load balancing problem with switched topology, noise, and delays. CDC 2013: 4613-4618 - [c12]Oleg N. Granichin, Petr Skobelev, Alexander Lada, Igor Mayorov, Alexander Tsarev:
Cargo Transportation Models Analysis using Multi-Agent Adaptive Real-Time Truck Scheduling System. ICAART (2) 2013: 244-249 - 2012
- [c11]Konstantin S. Amelin, Natalia O. Amelina, Oleg N. Granichin, Olga Granichina:
Two procedures with randomized controls for the parameters' confidence region of linear plant under external arbitrary noise. ISIC 2012: 1226-1231 - [c10]Konstantin S. Amelin, Oleg N. Granichin:
Randomized controls for linear plants and confidence regions for parameters under external arbitrary noise. ACC 2012: 851-856 - [c9]Konstantin S. Amelin, Natalia O. Amelina, Oleg N. Granichin, Olga Granichina:
Combined procedure with randomized controls for the parameters' confidence region of linear plant under external arbitrary noise. CDC 2012: 2134-2139 - [c8]Oleg N. Granichin, Petr Skobelev, Alexander Lada, Igor Mayorov, Alexander Tsarev:
Comparing Adaptive and Non-adaptive Models of Cargo Transportation in Multi-agent System for Real Time Truck Scheduling. IJCCI 2012: 282-285 - [c7]Konstantin S. Amelin, Natalia O. Amelina, Oleg N. Granichin, Olga Granichina:
Multi-agent Stochastic Systems with Switched Topology and Noise. SNPD 2012: 438-443 - 2011
- [c6]Oleg N. Granichin, Mikhail Morozkov, Zeev Volkovich:
Necessary conditions for the confidence level of the randomized algorithm of finding the true number of clusters. ISIC 2011: 1002-1007 - 2010
- [j2]Oleg N. Granichin, Valentin Vasilev:
Computational Model Based on Evolutionary Primitives: Turing Machine Generalization. Int. J. Nanotechnol. Mol. Comput. 2(1): 30-43 (2010) - [c5]Alexander Vakhitov, Vsevolod Vlasov, Oleg N. Granichin:
Adaptive control of siso plant with time-varying coefficients based on random test perturbation. ACC 2010: 4004-4009 - [c4]Cathrine Antal, Oleg N. Granichin, Sergey Levi:
Adaptive autonomous soaring of multiple UAVs using Simultaneous Perturbation Stochastic Approximation. CDC 2010: 3656-3661
2000 – 2009
- 2009
- [c3]Oleg N. Granichin, Lev Gurevich, Alexander Vakhitov:
SPSA with a fixed gain for intelligent control in tracking applications. CCA/ISIC 2009: 1415-1420 - [c2]Oleg N. Granichin, Lev Gurevich, Alexander Vakhitov:
Discrete-time minimum tracking based on stochastic approximation algorithm with randomized differences. CDC 2009: 5763-5767 - 2007
- [c1]Alexander T. Vakhitov, Oleg N. Granichin:
SPSA-based adaptive control: Accuracy of estimates. ALCOSP 2007: 429-434 - 2004
- [j1]Oleg N. Granichin:
Linear regression and filtering under nonstandard assumptions (arbitrary noise). IEEE Trans. Autom. Control. 49(10): 1830-1837 (2004)
Coauthor Index
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