Fast terminal sliding-mode control with an integral filter applied to a van der pol oscillator CU Solis, JB Clempner, AS Poznyak IEEE Transactions on Industrial Electronics 64 (7), 5622-5628, 2017 | 76 | 2017 |
Simple computing of the customer lifetime value: A fixed local-optimal policy approach JB Clempner, AS Poznyak Journal of Systems Science and Systems Engineering 23, 439-459, 2014 | 63 | 2014 |
Computing the Stackelberg/Nash equilibria using the extraproximal method: Convergence analysis and implementation details for Markov chains games KK Trejo, JB Clempner, AS Poznyak International Journal of Applied Mathematics and Computer Science 25 (2 …, 2015 | 59 | 2015 |
A Stackelberg security game with random strategies based on the extraproximal theoretic approach KK Trejo, JB Clempner, AS Poznyak Engineering Applications of Artificial Intelligence 37, 145-153, 2015 | 52 | 2015 |
Convergence method, properties and computational complexity for Lyapunov games JB Clempner, AS Poznyak International Journal of Applied Mathematics and Computer Science 21 (2 …, 2011 | 45 | 2011 |
Verifying soundness of business processes: A decision process Petri nets approach J Clempner Expert Systems with Applications 41 (11), 5030-5040, 2014 | 44 | 2014 |
Continuous-time reinforcement learning approach for portfolio management with time penalization M García-Galicia, AA Carsteanu, JB Clempner Expert Systems with Applications 129, 27-36, 2019 | 41 | 2019 |
Stackelberg security games: Computing the shortest-path equilibrium JB Clempner, AS Poznyak Expert Systems with Applications 42 (8), 3967-3979, 2015 | 41 | 2015 |
Modeling the multi-traffic signal-control synchronization: A Markov chains game theory approach JB Clempner, AS Poznyak Engineering Applications of Artificial Intelligence 43, 147-156, 2015 | 37 | 2015 |
Computing the strong Lp− Nash equilibrium for Markov chains games: Convergence and uniqueness KK Trejo, JB Clempner, AS Poznyak Applied Mathematical Modelling 41, 399-418, 2017 | 36 | 2017 |
A Tikhonov regularized penalty function approach for solving polylinear programming problems JB Clempner, AS Poznyak Journal of Computational and Applied Mathematics 328, 267-286, 2018 | 33 | 2018 |
A Tikhonov regularization parameter approach for solving Lagrange constrained optimization problems JB Clempner, AS Poznyak Engineering Optimization 50 (11), 1996-2012, 2018 | 31 | 2018 |
Modeling multileader–follower noncooperative Stackelberg games CU Solis, JB Clempner, AS Poznyak Cybernetics and Systems 47 (8), 650-673, 2016 | 31 | 2016 |
Adapting strategies to dynamic environments in controllable Stackelberg security games KK Trejo, JB Clempner, AS Poznyak 2016 IEEE 55th Conference on Decision and Control (CDC), 5484-5489, 2016 | 30 | 2016 |
Necessary and sufficient Karush–Kuhn–Tucker conditions for multiobjective Markov chains optimality JB Clempner Automatica 71, 135-142, 2016 | 30 | 2016 |
A priori-knowledge/actor-critic reinforcement learning architecture for computing the mean–variance customer portfolio: the case of bank marketing campaigns EM Sánchez, JB Clempner, AS Poznyak Engineering Applications of Artificial Intelligence 46, 82-92, 2015 | 30 | 2015 |
Planeación estratégica de tecnología de información en entornos dinámicos e inciertos JC Kerik, AG Tornés Revista digital universitaria 2 (4), 9, 2001 | 28 | 2001 |
Traffic-signal control reinforcement learning approach for continuous-time Markov games R Aragon-Gómez, JB Clempner Engineering Applications of Artificial Intelligence 89, 103415, 2020 | 27 | 2020 |
Negotiating transfer pricing using the Nash bargaining solution JB Clempner, AS Poznyak International Journal of Applied Mathematics and Computer Science 27 (4 …, 2017 | 26 | 2017 |
An optimal strong equilibrium solution for cooperative multi-leader-follower Stackelberg Markov chains games KK Trejo, JB Clempner, AS Poznyak Kybernetika 52 (2), 258-279, 2016 | 26 | 2016 |