Randomized Algorithms for Analysis and Control of Uncertain Systems second edition is certain to interest academic researchers and graduate control students working in probabilistic, robust or optimal control methods and control engineers dealing with system uncertainties. The present book is a very timely contribution to the literature.
I have no hesitation in asserting that it will remain a widely cited reference work for many years. His main research activities are focused on complex systems with uncertainty, and related applications. On these topics he has given several invited lectures at various conferences and workshops, including the recent plenary lectures at The Society of Instrument and Control Engineers of Japan Annual Conference, Taipei, Taiwan, and the 29th Chinese Control Conference, Beijing, China, both held during summer and focused on randomized algorithms and their applications to computing the PageRank for the Google search engine.
In he taught a formal course at the University of Illinois at Urbana-Champaign on the topic of randomized algorithms for systems and control. Tempo is author or co-author of more than research papers published in international journals, books and conferences.
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His research interests are in the field of analysis and control of uncertain systems, convex optimization, probabilistic algorithms and risk management. He is coauthor of 6 books and over publications on international journals and conference proceedings. His research interests include robust control and identification of uncertain systems, randomized algorithms for systems and control, convex optimization and modeling of environmental systems. On these topics he has been the organizer or co-organizer of several invited sessions and special courses, and of two Conference Workshops CDC and MSC He is author or co-author of more than 80 publications, which include more than 25 articles published in international journals.
He is author of the monograph "Randomized Algorithms for Analysis and Control of Uncertain Systems" and editor of the book "Probabilistic and Randomized Methods for Design under Uncertainty," both published by Springer. This book should appeal to readers of the first edition and to graduate students, researchers, and practitioners looking for a self-contained introduction to an active research field.
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Vignat and S. Bhatnagar and K. Babu, New algorithms of the Q-learning type, Automatica, Vol. Bhatnagar, An adaptive multivariate three-timescale smoothed functional algorithm for simulation optimization, ACM Transactions on Modeling and Computer Simulation, Vol.
Dukkipati, S. Murty, On measure-theoretic aspects of nonextensive entropy functionals and corresponding maximum entropy prescriptions, Physica A, Vol. Borkar and A. Madhukar, A simulation based algorithm for ergodic control of Markov chains conditioned on rare events, Journal of Machine Learning Research, Vol. Vaidya and S. Bhatnagar, Robust optimization of random early detection, Telecommunication Systems, Vol. Bhatnagar, Partition based pattern synthesis technique with efficient algorithms for nearest neighbor classification, Pattern Recognition Letters, 27, pp.
Bhatnagar and J. Panigrahi, Actor-critic algorithms for hierarchical Markov decision processes, Automatica, Vol.
Oleg Granichin Zeev Vladimir Volkovich Dvora Toledano Kitai
Dukkipati, M. Bhatnagar, Nonextensive triangle equality and other properties of Tsallis relative-entropy minimization, Physica A, Vol. Bhatnagar and H. Kowshik, A discrete parameter stochastic approximation algorithm for simulation optimization, Simulation: Transactions of the Society for Modeling and Simulation International, Vol. Bhatnagar, Overlap pattern synthesis with an efficient nearest neighbour classifier, Pattern Recognition, Vol. Bhatnagar and I.
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Reddy, Optimal threshold policies for admission control in communication networks via discrete parameter stochastic approximation, Telecommunication Systems, Vol. Bhatnagar, Fusion of multiple approximate nearest neighbor classifiers for fast and efficient classification, Information Fusion, Vol. Bhatnagar and S. Fu, S. Marcus and I-J. Wang, Two timescale simultaneous perturbation stochastic approximation using deterministic perturbation sequences, ACM Transactions on Modelling and Computer Simulation, Vol.
Cao, R. Zhiyuan, S. Marcus, A time aggregation approach to Markov decision processes, Automatica, Vol. Marcus and P.
Marcus and S. Borkar, A two time scale stochastic approximation scheme for simulation based parametric optimization, Probability in the Engineering and Informational Sciences, Vol. Gupta and S. Bhatnagar, An optimal fuel-injection policy for performance enhancement in internal combustion I.
Borkar, Multiscale stochastic approximation for parametric optimization of hidden Markov models, Probability in the Engineering and Informational Sciences, Vol. Borkar, A convex analytic framework for ergodic control of semi-Markov processes, Mathematics of Operations Research, Vol.
Our recent papers on arXiv can be found here. Kolathaya, D. Dholakiya, S. Bhatnagar, A. Singla, S. Bhattacharya, A.
Ghosal, B. Amrutur, A. Singh, A. Joglekar, A. Sagi, S. Shetty, and A. Singla, A. Singh, D. Bhatnagar, B. Ghosal, and S. Bhattacharya, D. Amrutur and S.
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Randomized Algorithms in Automatic Control and Data Mining | O.N. Granichin | Springer
Bhatnagar, A simulation-based technique for continuous-space embedding of discrete-parameter queueing systems, European Simulation and Modeling Conference, Ghent, Belgium, Oct , accepted. Narayanam and S. Reddy and S. Kumar, Sindhu P.