Alex Poznyak
Orcid: 0000-0002-5378-4545Affiliations:
- CINVESTAV, Automatic Control Department, Mexico City, Mexico
According to our database1,
Alex Poznyak
authored at least 216 papers
between 1995 and 2024.
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Bibliography
2024
Optimization and Games for Controllable Markov Chains - Numerical Methods with Application to Finance and Engineering
504, Springer, ISBN: 978-3-031-43574-4, 2024
2023
Differential Neural Networks Prediction Using Slow and Fast Hybrid Learning: Application to Prognosis of Infectionsand Deaths of COVID-19 Dynamics.
Neural Process. Lett., December, 2023
Rational Continuous Neural Network Identifier for Singular Perturbed Systems With Uncertain Dynamical Models.
IEEE Trans. Neural Networks Learn. Syst., May, 2023
Output feedback averaged sub-gradient integral sliding mode control to regulate the tridimensional autonomous motion of autonomous submersible vehicles.
J. Syst. Control. Eng., April, 2023
2022
Sliding-Mode Control of Full-State Constraint Nonlinear Systems: A Barrier Lyapunov Function Approach.
IEEE Trans. Syst. Man Cybern. Syst., 2022
IEEE Trans. Ind. Electron., 2022
Adaptive modeling of nonnegative environmental systems based on projectional Differential Neural Networks observer.
Neural Networks, 2022
Robust dynamic backstepping averaged sub-gradient integral sliding mode control for navigation of mobile robots.
J. Syst. Control. Eng., 2022
Robust stabilization of power systems subject to a series of lightning strokes modeled by Markov jumps: Attracting ellipsoids approach.
J. Frankl. Inst., 2022
Safe operation for teleoperated robotic manipulators with restricted synchronization error via non-singular terminal sliding-mode control.
J. Frankl. Inst., 2022
IMA J. Math. Control. Inf., 2022
Simultaneous state and parameter estimation method for a conventional ozonation system.
Comput. Chem. Eng., 2022
2021
Integral Sliding Mode Convex Optimization in Uncertain Lagrangian Systems Driven by PMDC Motors: Averaged Subgradient Approach.
IEEE Trans. Autom. Control., 2021
Dynamic Motion Backstepping Control of Underwater Autonomous Vehicle Based on Averaged Sub-gradient Integral Sliding Mode Method.
J. Intell. Robotic Syst., 2021
Tridimensional autonomous motion robust control of submersible ship based on averaged sub-gradient integral sliding mode approach.
Int. J. Syst. Sci., 2021
Differential neural network approximation of positive systems: An asymmetric barrier Lyapunov functions approach for learning laws design.
Neurocomputing, 2021
Robust integral sliding mode controller for optimisation of measurable cost functions with constraints.
Int. J. Control, 2021
2020
Full-Order Observer for a Class of Nonlinear Systems With Unmatched Uncertainties: Joint Attractive Ellipsoid and Sliding Mode Concepts.
IEEE Trans. Ind. Electron., 2020
IEEE Trans. Circuits Syst., 2020
Robust min-max optimal control design for systems with uncertain models: A neural dynamic programming approach.
Neural Networks, 2020
Finding the Strong Nash Equilibrium: Computation, Existence and Characterization for Markov Games.
J. Optim. Theory Appl., 2020
Robust optimal feedback control design for uncertain systems based on artificial neural network approximation of the Bellman's value function.
Neurocomputing, 2020
A nucleus for Bayesian Partially Observable Markov Games: Joint observer and mechanism design.
Eng. Appl. Artif. Intell., 2020
Computing the Nash Bargaining Solution for Multiple Players in Discrete-Time Markov Chains Games.
Cybern. Syst., 2020
Nonlinear Parametric Estimation of Hamiltonian Systems: Identification as Stabilization.
Autom. Remote. Control., 2020
Extended integral sliding mode robust sub-gradient extremum seeking control for tracking trajectory of autonomous underwater vehicle.
Proceedings of the 7th International Conference on Control, 2020
2019
Controller exploitation-exploration reinforcement learning architecture for computing near-optimal policies.
Soft Comput., 2019
Solving traffic queues at controlled-signalized intersections in continuous-time Markov games.
Math. Comput. Simul., 2019
Handling a Kullback-Leibler divergence random walk for scheduling effective patrol strategies in Stackelberg security games.
Kybernetika, 2019
Continuous-time gradient-like descent algorithm for constrained convex unknown functions: Penalty method application.
J. Comput. Appl. Math., 2019
Autom., 2019
A survey on artificial neural networks application for identification and control in environmental engineering: Biological and chemical systems with uncertain models.
Annu. Rev. Control., 2019
Robust Extremum Seeking for a Second Order Uncertain Plant Using a Sliding Mode Controller.
Int. J. Appl. Math. Comput. Sci., 2019
Autom. Remote. Control., 2019
Proceedings of the 27th Mediterranean Conference on Control and Automation, 2019
Projectional Learning Laws for Differential Neural Networks Based on Double-Averaged Sub-Gradient Descent Technique.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019
Proceedings of the 16th International Conference on Electrical Engineering, 2019
Decentralized sliding-mode control of robotic manipulator with constraint workspace: a finite-convergent barrier Lyapunov approach.
Proceedings of the 16th International Conference on Electrical Engineering, 2019
2018
Adapting attackers and defenders patrolling strategies: A reinforcement learning approach for Stackelberg security games.
J. Comput. Syst. Sci., 2018
A Tikhonov regularized penalty function approach for solving polylinear programming problems.
J. Comput. Appl. Math., 2018
Int. J. Comput. Math., 2018
A Reinforcement Learning Approach for Solving the Mean Variance Customer Portfolio in Partially Observable Models.
Int. J. Artif. Intell. Tools, 2018
Estimation of Contaminants Decomposition in Solid Phase with Ozone by Differential Neural Networks with Discontinuous Learning Law.
Proceedings of the 15th International Workshop on Variable Structure Systems, 2018
Adaptive sliding-mode control with integral compensation for robotic devices with state constraints.
Proceedings of the 12th IFAC Symposium on Robot Control, 2018
Residence Time Regulation in Chemical Processes: Local Optimal Control Realization by Differential Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2018, 2018
Constrained Extremum Seeking with Function Measurements Disturbed by Stochastic Noise.
Proceedings of the 15th International Conference on Electrical Engineering, 2018
Continuous-Time Extremum Seeking with Function Measurements Disturbed by Stochastic Noise: A Synchronous Detection Approach.
Proceedings of the 15th International Conference on Electrical Engineering, 2018
Pendubot Robust Stabilization Based on Attractive Ellipsoid Method Using Electromechanical Model.
Proceedings of the 15th International Conference on Electrical Engineering, 2018
Proceedings of the 15th International Conference on Electrical Engineering, 2018
Proceedings of the 15th International Conference on Electrical Engineering, 2018
2017
Fast Terminal Sliding-Mode Control With an Integral Filter Applied to a Van Der Pol Oscillator.
IEEE Trans. Ind. Electron., 2017
IEEE Trans. Autom. Control., 2017
Using the extraproximal method for computing the shortest-path mixed Lyapunov equilibrium in Stackelberg security games.
Math. Comput. Simul., 2017
Neurocomputing, 2017
Multiobjective Markov chains optimization problem with strong Pareto frontier: Principles of decision making.
Expert Syst. Appl., 2017
Int. J. Appl. Math. Comput. Sci., 2017
Adaptive sliding-mode controller based on the "Super-Twist" state observer for control of the Stewart platform.
Autom. Remote. Control., 2017
2016
Solving the Pareto front for multiobjective Markov chains using the minimum Euclidean distance gradient-based optimization method.
Math. Comput. Simul., 2016
An optimal strong equilibrium solution for cooperative multi-leader-follower Stackelberg Markov chains games.
Kybernetika, 2016
Necessary and sufficient conditions for stabilizability of planar parametrically perturbed control systems.
IMA J. Math. Control. Inf., 2016
IMA J. Math. Control. Inf., 2016
Criteria of robust stability for time-varying 2D Wang-Mitchel differential systems: integral funnel method.
Int. J. Control, 2016
Adaptive sliding mode controller based on super-twist observer for tethered satellite system.
Int. J. Control, 2016
Convergence analysis for pure stationary strategies in repeated potential games: Nash, Lyapunov and correlated equilibria.
Expert Syst. Appl., 2016
Conforming coalitions in Markov Stackelberg security games: Setting max cooperative defenders vs. non-cooperative attackers.
Appl. Soft Comput., 2016
Proceedings of the 14th International Workshop on Variable Structure Systems, 2016
Proceedings of the 14th International Workshop on Variable Structure Systems, 2016
Adapting strategies to dynamic environments in controllable stackelberg security games.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Proceedings of the 2016 American Control Conference, 2016
2015
IMA J. Math. Control. Inf., 2015
IMA J. Math. Control. Inf., 2015
Solving the mean-variance customer portfolio in Markov chains using iterated quadratic/Lagrange programming: A credit-card customer limits approach.
Expert Syst. Appl., 2015
Expert Syst. Appl., 2015
A Stackelberg security game with random strategies based on the extraproximal theoretic approach.
Eng. Appl. Artif. Intell., 2015
A priori-knowledge/actor-critic reinforcement learning architecture for computing the mean-variance customer portfolio: The case of bank marketing campaigns.
Eng. Appl. Artif. Intell., 2015
Modeling the multi-traffic signal-control synchronization: A Markov chains game theory approach.
Eng. Appl. Artif. Intell., 2015
Computing the Stackelberg/Nash Equilibria Using the Extraproximal Method: Convergence Analysis and Implementation Details for Markov Chains Games.
Int. J. Appl. Math. Comput. Sci., 2015
Appl. Math. Comput., 2015
Robust feedback design for stabilization of nonlinear systems with sampled-data and quantized output: Atractive ellipsoid method.
Autom. Remote. Control., 2015
Computing the Lp-strong nash equilibrium looking for cooperative stability in multiple agents markov games.
Proceedings of the 12th International Conference on Electrical Engineering, 2015
Proceedings of the 12th International Conference on Electrical Engineering, 2015
Solving the multi-traffic signal-control problem for a class of continuous-time markov games.
Proceedings of the 12th International Conference on Electrical Engineering, 2015
Optimization of a class of nonlinear switched systems with fixed-levels control inputs.
Proceedings of the American Control Conference, 2015
2014
Consistent approximations and variational description of some classes of sliding mode control processes.
J. Frankl. Inst., 2014
Proceedings of the 13th International Workshop on Variable Structure Systems, 2014
Proceedings of the 11th International Conference on Electrical Engineering, 2014
2013
Kybernetika, 2013
On the practical stability of control processes governed by implicit differential equations: The invariant ellipsoid based approach.
J. Frankl. Inst., 2013
A class of robust bounded controllers tracking a nonlinear discrete-time stochastic system: Attractive ellipsoid technique application.
J. Frankl. Inst., 2013
Robust control design through the attractive ellipsoid technique for a class of linear stochastic models with multiplicative and additive noises.
IMA J. Math. Control. Inf., 2013
Adaptive sliding mode control with application to super-twist algorithm: Equivalent control method.
Autom., 2013
Proceedings of the 10th International Conference on Electrical Engineering, 2013
Robust output stabilization of time-varying input delay systems using attractive ellipsoid method.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
2012
Unified Lyapunov function for a finite-time stability analysis of relay second-order sliding mode control systems.
IMA J. Math. Control. Inf., 2012
Inventory constraint control with uncertain stochastic demands: attractive ellipsoid technique application.
IMA J. Math. Control. Inf., 2012
Int. J. Syst. Sci., 2012
Robust stochastic tracking for discrete-time models: designing of ellipsoid where random trajectories converge with probability one.
Int. J. Syst. Sci., 2012
The Furuta's pendulum stabilization without the use of a mathematical model: Attractive Ellipsoid Method with KL-adaptation.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
Proceedings of the 9th International Conference on Electrical Engineering, 2012
A robust dynamic controller for a class of nonlinear systems with sample-data outputs.
Proceedings of the 9th International Conference on Electrical Engineering, 2012
Proceedings of the 9th International Conference on Electrical Engineering, 2012
Proceedings of the 9th International Conference on Electrical Engineering, 2012
Proceedings of the American Control Conference, 2012
2011
Time-varying matrix estimation in stochastic continuous-time models under coloured noise using LSM with forgetting factor.
Int. J. Syst. Sci., 2011
Practical output feedback stabilisation for a class of continuous-time dynamic systems under sample-data outputs.
Int. J. Control, 2011
Invariant ellipsoid method for minimization of unmatched disturbances effects in sliding mode control.
Autom., 2011
Int. J. Appl. Math. Comput. Sci., 2011
Robust Stabilization of linear stochastic differential models with additive and multiplicative diffusion via attractive ellipsoid techniques.
Proceedings of the 8th International Conference on Electrical Engineering, 2011
On applications of Attractive Ellipsoid Method to dynamic processes governed by implicit differential equations.
Proceedings of the 8th International Conference on Electrical Engineering, 2011
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
Averaged attractive ellipsoid technique applied to inventory projectional control with uncertain stochastic demands.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
2010
J. Frankl. Inst., 2010
Continuous Neural Networks Applied to identify a class of uncertain parabolic Partial differential equations.
Int. J. Model. Simul. Sci. Comput., 2010
Intell. Autom. Soft Comput., 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
Design of variable gain super-twisting observer for nonlinear systems with sampled output.
Proceedings of the 7th International Conference on Electrical Engineering, 2010
Robust identification of uncertain Schrödinger type complex partial differential equations.
Proceedings of the 7th International Conference on Electrical Engineering, 2010
Constraint robust stochastic discrete-time tracking: Attractive ellipsoids technique.
Proceedings of the 7th International Conference on Electrical Engineering, 2010
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
Probabilistic analysis of Robust Attractive Ellipsoids for quasi-linear discrete-time models.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
2009
Extraproximal Method Application for a Stackelberg-Nash Equilibrium Calculation in Static Hierarchical Games.
IEEE Trans. Syst. Man Cybern. Part B, 2009
Reaching Time Estimation for "Super-Twisting" Second Order Sliding Mode Controller via Lyapunov Function Designing.
IEEE Trans. Autom. Control., 2009
Output Integral Sliding Mode for Min-Max Optimization of Multi-Plant Linear Uncertain Systems.
IEEE Trans. Autom. Control., 2009
SIAM J. Control. Optim., 2009
Robust Continuous-Time Matrix Estimation under Dependent Noise Perturbations: Sliding Modes Filtering and LSM with Forgetting.
Circuits Syst. Signal Process., 2009
Lyapunov function design for finite-time convergence analysis: "Twisting" controller for second-order sliding mode realization.
Autom., 2009
Robust identification of uncertain nonlinear systems with state constrains by Differential Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2009
Proceedings of the International Joint Conference on Neural Networks, 2009
Proceedings of the Artificial Neural Networks, 2009
Trajectory tracking based on differential neural networks for a class of nonlinear systems.
Proceedings of the American Control Conference, 2009
Output linear controller for a class of nonlinear systems using the invariant ellipsoid technique.
Proceedings of the American Control Conference, 2009
Continuity Properties of Nonlinear Affine Control Systems: Applications to Hybrid and Sliding Mode Dynamics.
Proceedings of the 3rd IFAC Conference on Analysis and Design of Hybrid Systems, 2009
Minimization of the unmatched disturbances in the sliding mode control systems via invariant ellipsoid method.
Proceedings of the IEEE International Conference on Control Applications, 2009
2008
Int. J. Control, 2008
Proceedings of the 47th IEEE Conference on Decision and Control, 2008
Proceedings of the 47th IEEE Conference on Decision and Control, 2008
Proceedings of the 47th IEEE Conference on Decision and Control, 2008
Proceedings of the American Control Conference, 2008
Proceedings of the American Control Conference, 2008
Proceedings of the American Control Conference, 2008
2007
Int. J. Syst. Sci., 2007
Quasi-equilibrium in LQ differential games with bounded uncertain disturbances: robust and adaptive strategies with pre-identification via sliding mode technique.
Int. J. Syst. Sci., 2007
Int. J. Syst. Sci., 2007
Int. J. Syst. Sci., 2007
Int. J. Control, 2007
Numerical method for finding a static Stackelberg-Nash equilibrium: The case of favorable followers.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007
Proceedings of the 46th IEEE Conference on Decision and Control, 2007
Proceedings of the 46th IEEE Conference on Decision and Control, 2007
Proceedings of the 46th IEEE Conference on Decision and Control, 2007
Proceedings of the 46th IEEE Conference on Decision and Control, 2007
Min-Max Output Integral Sliding Mode Control for Multiplant Linear Uncertain Systems.
Proceedings of the American Control Conference, 2007
Identification of Measurable Dynamics of a Nuclear Research Reactor Using Differential Neural Networks.
Proceedings of the IEEE International Conference on Control Applications, 2007
2006
IEEE Trans. Circuits Syst. II Express Briefs, 2006
Kaddour Najim, Enso Ikonen Ait-Kadi Daoud (Eds.), Stochastic Processes: Estimation, Optimization & Analysis, Kogan Page Science, London and Sterling, VA, ISBN: 1-903996-55-4, 2004 (332 pp.).
Autom., 2006
Hierarchical Second-Order Sliding-Mode Observer for Linear Systems with Unknown Inputs.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006
Robust and adaptive strategies with pre-identification via sliding mode technique in LQ differential games.
Proceedings of the American Control Conference, 2006
Parameter identification of non-linear system using traditional and high order sliding modes.
Proceedings of the American Control Conference, 2006
2005
e-Equilibrium Strategies for LQ Differential Games with Output Measurement.
Proceedings of The 2005 International Conference on Scientific Computing, 2005
Parameter identification of affine time varying systems using traditional and high order sliding modes.
Proceedings of the American Control Conference, 2005
2004
IEEE Trans. Autom. Control., 2004
Syst. Control. Lett., 2004
Decomposition of the mini-max multimodel optimal problem via integral sliding mode control.
Proceedings of the 2004 American Control Conference, 2004
2003
IEEE Trans. Autom. Control., 2003
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003
Proceedings of the American Control Conference, 2003
Proceedings of the American Control Conference, 2003
2002
IEEE Trans. Syst. Man Cybern. Part B, 2002
Suboptimal robust asymptotic observer for stochastic continuous time nonlinear system: numerical procedure and convergence analysis.
Proceedings of the 41st IEEE Conference on Decision and Control, 2002
Proceedings of the 41st IEEE Conference on Decision and Control, 2002
Proceedings of the 41st IEEE Conference on Decision and Control, 2002
Proceedings of the 41st IEEE Conference on Decision and Control, 2002
Robust maximum principle for minimax Mayer problem with uncertainty from a compact measured set.
Proceedings of the American Control Conference, 2002
2001
Int. J. Syst. Sci., 2001
Computación y Sistemas, 2001
On-line identification and adaptive trajectory tracking for nonlinear stochastic continuous time systems using differential neural networks.
Autom., 2001
Adaptive policy for two finite Markov chains zero-sum stochastic game with unknown transition matrices and average payoffs.
Autom., 2001
Proceedings of the 40th IEEE Conference on Decision and Control, 2001
Proceedings of the American Control Conference, 2001
2000
Robustness property of high-gain observers for closed-loop nonlinear systems: theoretical study and robotics control application.
Int. J. Syst. Sci., 2000
Proceedings of the 39th IEEE Conference on Decision and Control, 2000
Proceedings of the 39th IEEE Conference on Decision and Control, 2000
1999
IEEE Trans. Neural Networks, 1999
Intell. Autom. Soft Comput., 1999
Proceedings of the International Joint Conference Neural Networks, 1999
System identification with partial-state measurement via dynamic multilayer neural networks.
Proceedings of the International Joint Conference Neural Networks, 1999
Proceedings of the 1999 IEEE International Conference on Robotics and Automation, 1999
Robust adaptive control for multicomponent distillation column via dynamic neural network.
Proceedings of the 5th European Control Conference, 1999
Passivity feedback equivalence of nonlinear systems via neural networks approximation.
Proceedings of the 5th European Control Conference, 1999
Adaptive architecture of polynomial artificial neural network to forecast nonlinear time series.
Proceedings of the 1999 Congress on Evolutionary Computation, 1999
1998
Robust output feedback control for linear stochastic systems in continuous time with time-varying parameters.
IEEE Trans. Autom. Control., 1998
Int. J. Syst. Sci., 1998
1997
1996
Multimodal searching technique based on learning automata with continuous input and changing number of actions.
IEEE Trans. Syst. Man Cybern. Part B, 1996
Adaptive selection of the optimal order of linear regression models using learning automata.
Int. J. Syst. Sci., 1996
Analysis of the behaviour of multilevel hierarchical systems of learning automata and their application for multimodal functions optimization.
Int. J. Syst. Sci., 1996
Learning automata with continuous inputs and their application for multimodal functions optimization.
Int. J. Syst. Sci., 1996
Int. J. Syst. Sci., 1996
1995
Intell. Autom. Soft Comput., 1995