Julio B. Clempner

发表

Decision Process Petri Nets: Analysis and Optimization

Zvi Retchkiman Königsberg, Julio B. Clempner, 2005, Neural Parallel Sci. Comput..

Traffic-signal control reinforcement learning approach for continuous-time Markov games

Julio B. Clempner, Román Aragon-Gómez, J. Clempner, 2020, Eng. Appl. Artif. Intell..

A Game Theory Model for Manipulation Based on Machiavellianism: Moral and Ethical Behavior

Julio B. Clempner, J. Clempner, 2017, J. Artif. Soc. Soc. Simul..

Optimal level of transfer pricing for profit sharing: a Lagrange regularized game theory approach

Julio B. Clempner, J. Clempner, 2019, Optimization and Engineering.

Solving the multi-traffic signal-control problem for a class of continuous-time markov games

Alexander S. Poznyak, Julio B. Clempner, Rodrigo G. Castillo, 2015, 2015 12th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE).

Achieving Superior Motivation and Performance: The Case of the Acquisition and Transformation of CAZEL in Mexico

Julio B. Clempner, Carlos Espinal, J. Clempner, 2013 .

Classical workflow nets and workflow nets with reset arcs: using Lyapunov stability for soundness verification

Julio B. Clempner, J. Clempner, 2017, J. Exp. Theor. Artif. Intell..

An analytical method for well-formed workflow/Petri net verification of classical soundness

Julio B. Clempner, J. Clempner, 2014, Int. J. Appl. Math. Comput. Sci..

Continuous-time gradient-like descent algorithm for constrained convex unknown functions: Penalty method application

Alexander S. Poznyak, Julio B. Clempner, Cesar U. Solis, 2019, J. Comput. Appl. Math..

Optimal Marketing Strategies for Modeling Real Settings: Improving The Multichannel in Banking

Julio B. Clempner, 2015, IEEE Latin America Transactions.

Using the Manhattan distance for computing the multiobjective Markov chains problem

Alexander S. Poznyak, Julio B. Clempner, A. Poznyak, 2018, Int. J. Comput. Math..

Handling a Kullback-Leibler divergence random walk for scheduling effective patrol strategies in Stackelberg security games

Alexander S. Poznyak, Julio B. Clempner, César U. S. Solis, 2019, Kybernetika.

A Reinforcement Learning Approach for Solving the Mean Variance Customer Portfolio in Partially Observable Models

Alexander S. Poznyak, Julio B. Clempner, Erick Asiain, 2018, Int. J. Artif. Intell. Tools.

Computing the strong Nash equilibrium for Markov chains games

Alexander S. Poznyak, Julio B. Clempner, A. Poznyak, 2015, Appl. Math. Comput..

Cortando con Procesos de Decisión Estocásticos respecto al contexto de las Redes de Petri

Julio B. Clempner, 2009 .

A hierarchical decomposition of decision process Petri nets for modeling complex systems

Julio B. Clempner, 2010, Int. J. Appl. Math. Comput. Sci..

Strategic Manipulation Approach for Solving Negotiated Transfer Pricing Problem

Julio B. Clempner, 2018, J. Optim. Theory Appl..

Fast Terminal Sliding-Mode Control With an Integral Filter Applied to a Van Der Pol Oscillator

Alexander S. Poznyak, Julio B. Clempner, Cesar U. Solis, 2017, IEEE Transactions on Industrial Electronics.

Constrained Extremum Seeking with Function Measurements Disturbed by Stochastic Noise

Alexander S. Poznyak, Julio B. Clempner, Cesar U. Solis, 2018, 2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE).

Solving the mean-variance customer portfolio in Markov chains using iterated quadratic/Lagrange programming: A credit-card customer limits approach

Alexander S. Poznyak, Julio B. Clempner, Emma M. Sánchez, 2015, Expert Syst. Appl..

Prioritizing Information Systems Implementation Using the Amalgamation of Lattice Structures

Julio B. Clempner, Jesus Medel, 2006 .

Observer and control design in partially observable finite Markov chains

Alexander S. Poznyak, Julio B. Clempner, 2019, Autom..

Necessary and sufficient Karush-Kuhn-Tucker conditions for multiobjective Markov chains optimality

Julio B. Clempner, 2016, Autom..

A Stackelberg security game with random strategies based on the extraproximal theoretic approach

Alexander S. Poznyak, Julio B. Clempner, Kristal K. Trejo, 2015, Eng. Appl. Artif. Intell..

Penalizing passenger’s transfer time in computing airlines revenue

Julio B. Clempner, J. Clempner, 2020 .

Continuous-time reinforcement learning approach for portfolio management with time penalization

Julio B. Clempner, Mauricio García-Galicia, Alin A. Carsteanu, 2019, Expert Syst. Appl..

DC Motor Control based on Robust run-time Optimization Algorithm

Julio B. Clempner, Cesar U. Solis, Alexander S. Poznyak, 2019, 2019 16th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE).

Computing multiobjective Markov chains handled by the extraproximal method

Julio B. Clempner, 2018, Ann. Oper. Res..

Robust integral sliding mode controller for optimisation of measurable cost functions with constraints

Alexander S. Poznyak, Julio B. Clempner, Cesar U. Solis, 2019, Int. J. Control.

Continuous-Time Extremum Seeking with Function Measurements Disturbed by Stochastic Noise: A Synchronous Detection Approach

Alexander S. Poznyak, Julio B. Clempner, Cesar U. Solis, 2018, 2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE).

Modeling Multileader–Follower Noncooperative Stackelberg Games

Alexander S. Poznyak, Julio B. Clempner, Cesar U. Solis, 2016, Cybern. Syst..

A Shortest-Path Lyapunov Approach for Forward Decision Processes

Julio B. Clempner, 2009, Int. J. Comput. Games Technol..

An iterative method for solving stackelberg security games: A Markov games approach

Julio B. Clempner, Alin A. Carsteanu, Daniel Guerrero, 2017, 2017 14th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE).

Extremum seeking by a dynamic plant using mixed integral sliding mode controller with synchronous detection gradient estimation

Alexander S. Poznyak, Julio B. Clempner, Cesar U. Solis, 2019 .

Using the extraproximal method for computing the shortest-path mixed Lyapunov equilibrium in Stackelberg security games

Alexander S. Poznyak, Julio B. Clempner, 2017, Math. Comput. Simul..

A Pattern Model for Assessing Work Competencies Using Petri Nets

Julio B. Clempner, J. Clempner, 2010, Int. J. Comput. Sci. Appl..

Shaping Emotions in Negotiation: a Nash Bargaining Solution

Julio B. Clempner, 2020, Cognitive Computation.

Measuring the emotional state among interacting agents: A game theory approach using reinforcement learning

Julio B. Clempner, Mireya Salgado, 2018, Expert Syst. Appl..

Repeated Stackelberg security games: Learning with incomplete state information

Julio B. Clempner, Guillermo Alcantara-Jiménez, 2020, Reliab. Eng. Syst. Saf..

A priori-knowledge/actor-critic reinforcement learning architecture for computing the mean-variance customer portfolio: The case of bank marketing campaigns

Alexander S. Poznyak, Julio B. Clempner, Emma M. Sánchez, 2015, Eng. Appl. Artif. Intell..

On Lyapunov Game Theory Equilibrium: Static and Dynamic Approaches

Julio B. Clempner, 2018, IGTR.

Continuous-time mean variance portfolio with transaction costs: a proximal approach involving time penalization

Julio B. Clempner, Mauricio García-Galicia, Alin A. Carsteanu, 2019, Int. J. Gen. Syst..

Convergence analysis for pure stationary strategies in repeated potential games: Nash, Lyapunov and correlated equilibria

Alexander S. Poznyak, Julio B. Clempner, A. Poznyak, 2016, Expert Syst. Appl..

Adapting strategies to dynamic environments in controllable stackelberg security games

Alexander S. Poznyak, Julio B. Clempner, Kristal K. Trejo, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

A nucleus for Bayesian Partially Observable Markov Games: Joint observer and mechanism design

Alexander S. Poznyak, Julio B. Clempner, A. Poznyak, 2020, Eng. Appl. Artif. Intell..

Sparse mean–variance customer Markowitz portfolio optimization for Markov chains: a Tikhonov’s regularization penalty approach

Alexander S. Poznyak, Julio B. Clempner, A. Poznyak, 2018 .

Conforming coalitions in Markov Stackelberg security games: Setting max cooperative defenders vs. non-cooperative attackers

Alexander S. Poznyak, Julio B. Clempner, 2016, Appl. Soft Comput..

An optimal strong equilibrium solution for cooperative multi-leader-follower Stackelberg Markov chains games

Alexander S. Poznyak, Julio B. Clempner, Kristal K. Trejo, 2016, Kybernetika.

Analysis of best-reply strategies in repeated finite Markov chains games

Alexander S. Poznyak, Julio B. Clempner, 2013, 52nd IEEE Conference on Decision and Control.

Computing the Bargaining Approach for Equalizing the Ratios of Maximal Gains in Continuous-Time Markov Chains Games

Alexander S. Poznyak, Julio B. Clempner, Kristal K. Trejo, 2018, Computational Economics.

Towards The Stability Analysis of Principles of Power Conduct

Julio B. Clempner, J. J. Medel, Alin A. Carsteanu, 2006 .

A Stackelberg security Markov game based on partial information for strategic decision making against unexpected attacks

Julio B. Clempner, Silvia E. Albarran, J. Clempner, 2019, Eng. Appl. Artif. Intell..

Ship differential game approach for multiple players: Stackelberg security games

Julio B. Clempner, Cesar U. Solis, J. Clempner, 2019, Optimal Control Applications and Methods.

Computing the Lp-strong nash equilibrium looking for cooperative stability in multiple agents markov games

Alexander S. Poznyak, Julio B. Clempner, Kristal K. Trejo, 2015, 2015 12th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE).

Colored decision process Petri nets: modeling, analysis and stability

Julio B. Clempner, 2005 .

Multiobjective Markov chains optimization problem with strong Pareto frontier: Principles of decision making

Alexander S. Poznyak, Julio B. Clempner, A. Poznyak, 2017, Expert Syst. Appl..

Negotiating transfer pricing using the Nash bargaining solution

Alexander S. Poznyak, Julio B. Clempner, A. Poznyak, 2017, Int. J. Appl. Math. Comput. Sci..

Convergence method, properties and computational complexity for Lyapunov games

Alexander S. Poznyak, Julio B. Clempner, A. Poznyak, 2011, Int. J. Appl. Math. Comput. Sci..

A Tikhonov regularization parameter approach for solving Lagrange constrained optimization problems

Alexander S. Poznyak, Julio B. Clempner, A. Poznyak, 2018 .

Finding the Strong Nash Equilibrium: Computation, Existence and Characterization for Markov Games

Alexander S. Poznyak, Julio B. Clempner, A. Poznyak, 2020, Journal of Optimization Theory and Applications.

Controller exploitation-exploration reinforcement learning architecture for computing near-optimal policies

Alexander S. Poznyak, Julio B. Clempner, Erick Asiain, 2019, Soft Comput..

Computing the Nash Bargaining Solution for Multiple Players in Discrete-Time Markov Chains Games

Alexander S. Poznyak, Julio B. Clempner, Kristal K. Trejo, 2020, Cybern. Syst..

Solving Transfer Pricing Involving Collaborative and Non-cooperative Equilibria in Nash and Stackelberg Games: Centralized–Decentralized Decision Making

Alexander S. Poznyak, Julio B. Clempner, A. Poznyak, 2018, Computational Economics.

A team formation method based on a Markov chains games approach

Julio B. Clempner, J. Clempner, 2019, Cybern. Syst..

A continuous-time Markov Stackelberg security game approach for reasoning about real patrol strategies

Julio B. Clempner, J. Clempner, 2018, Int. J. Control.

Modeling the multi-traffic signal-control synchronization: A Markov chains game theory approach

Alexander S. Poznyak, Julio B. Clempner, A. Poznyak, 2015, Eng. Appl. Artif. Intell..

Verifying soundness of business processes: A decision process Petri nets approach

Julio B. Clempner, 2014, Expert Syst. Appl..

Stackelberg security games: Computing the shortest-path equilibrium

Alexander S. Poznyak, Julio B. Clempner, A. Poznyak, 2015, Expert Syst. Appl..

Adapting attackers and defenders patrolling strategies: A reinforcement learning approach for Stackelberg security games

Alexander S. Poznyak, Julio B. Clempner, Kristal K. Trejo, 2018, J. Comput. Syst. Sci..

Solving Stackelberg security Markov games employing the bargaining Nash approach: Convergence analysis

Julio B. Clempner, Alin A. Carsteanu, Daniel Guerrero, 2018, Comput. Secur..

Setting Cournot Versus Lyapunov Games Stability Conditions and Equilibrium Point Properties

Julio B. Clempner, J. Clempner, 2015, IGTR.

A Tikhonov regularized penalty function approach for solving polylinear programming problems

Alexander S. Poznyak, Julio B. Clempner, A. Poznyak, 2018, J. Comput. Appl. Math..

Solving the Pareto front for multiobjective Markov chains using the minimum Euclidean distance gradient-based optimization method

Alexander S. Poznyak, Julio B. Clempner, A. Poznyak, 2016, Math. Comput. Simul..

Non-Cooperative Bargaining with Unsophisticated Agents

Alexander S. Poznyak, Julio B. Clempner, Ruben Juarez, 2020 .

Solving traffic queues at controlled-signalized intersections in continuous-time Markov games

Alexander S. Poznyak, Julio B. Clempner, Rodrigo Castillo González, 2019, Math. Comput. Simul..

Computing the Stackelberg/Nash equilibria using the extraproximal method: Convergence analysis and implementation details for Markov chains games

Alexander S. Poznyak, Julio B. Clempner, Kristal K. Trejo, 2015, Int. J. Appl. Math. Comput. Sci..

A Markovian Stackelberg game approach for computing an optimal dynamic mechanism

Julio B. Clempner, J. Clempner, 2021, Computational and Applied Mathematics.

Analytical Method for Mechanism Design in Partially Observable Markov Games

Alexander S. Poznyak, Julio B. Clempner, A. Poznyak, 2021, Mathematics.

Solving the cost to go with time penalization using the Lagrange optimization approach

Julio B. Clempner, J. Clempner, 2021, Soft Computing.

A Proximal/Gradient Approach for Computing the Nash Equilibrium in Controllable Markov Games

Julio B. Clempner, 2021, J. Optim. Theory Appl..

Designing a terminal optimal control with an integral sliding mode component using a saddle point method approach: a Cartesian 3D-crane application

Alexander S. Poznyak, Julio B. Clempner, Cesar U. Solis, 2016 .

Computing the Transfer Pricing for a Multidivisional Firm Based on Cooperative Games

Alexander S. Poznyak, Julio B. Clempner, A. Poznyak, 2018 .

Computing the strong Lp− Nash equilibrium for Markov chains games: Convergence and uniqueness

Alexander S. Poznyak, Julio B. Clempner, Kristal K. Trejo, 2017 .

Proximal constrained optimization approach with time penalization

Alexander S. Poznyak, Julio B. Clempner, Kristal K. Trejo, 2018, Engineering Optimization.

Simple computing of the customer lifetime value: A fixed local-optimal policy approach

Alexander S. Poznyak, Julio B. Clempner, 2014 .

New perspectives and applications of modern control theory: In honor of Alexander S. Poznyak

Wen Yu Liu, Julio B. Clempner, 2018 .

Constructing the Pareto front for multi-objective Markov chains handling a strong Pareto policy approach

Alexander S. Poznyak, Julio B. Clempner, A. Poznyak, 2018 .