Stanislaw H. Zak

Orcid: 0000-0001-9616-615X

Affiliations:
  • Purdue University, West Lafayette, USA


According to our database1, Stanislaw H. Zak authored at least 91 papers between 1988 and 2024.

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Bibliography

2024
Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges.
IEEE Trans. Intell. Veh., January, 2024

FedNMUT - Federated Noisy Model Update Tracking Convergence Analysis.
CoRR, 2024

2023
Teaching computing for complex problems in civil engineering and geosciences using big data and machine learning: synergizing four different computing paradigms and four different management domains.
J. Big Data, December, 2023

Research in computing-intensive simulations for nature-oriented civil-engineering and related scientific fields, using machine learning and big data: an overview of open problems.
J. Big Data, 2023

On the Convergence of Decentralized Federated Learning Under Imperfect Information Sharing.
IEEE Control. Syst. Lett., 2023

FedMFS: Federated Multimodal Fusion Learning with Selective Modality Communication.
CoRR, 2023

A Survey of Federated Learning for Connected and Automated Vehicles.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022
Compensator Synthesis for Unsecured Cyber-Physical Systems.
Proceedings of the IEEE Conference on Control Technology and Applications, 2022

2021
Simultaneous Estimation of the State, Unknown Input, and Output Disturbance in Discrete-Time Linear Systems.
IEEE Trans. Autom. Control., 2021

Unknown Input Observers for Discretized Systems With Application to Networked Systems Corrupted by Sparse Malicious Packet Drops.
IEEE Control. Syst. Lett., 2021

On the Estimation of Unknown Input and Output Disturbances in Discrete-Time Linear Systems.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
State Observers and Unknown Input Estimators for Discrete-Time Nonlinear Systems Characterized by Incremental Multiplier Matrices.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Observer-Based Controller Synthesis for Decentralized Networked Systems.
Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020

State Estimation of Networked Control Systems Corrupted by Unknown Input and Output Sparse Errors.
Proceedings of the 2020 American Control Conference, 2020

2019
Vector Recovery for a Linear System Corrupted by Unknown Sparse Error Vectors With Applications to Secure State Estimation.
IEEE Control. Syst. Lett., 2019

Adaptive Unknown Input and State Observers.
Proceedings of the 2019 American Control Conference, 2019

2018
Unknown Input Estimation for Nonlinear Systems Using Sliding Mode Observers and Smooth Window Functions.
SIAM J. Control. Optim., 2018

State and unknown input observers for nonlinear systems with delayed measurements.
Autom., 2018

2017
Output-Tracking Quantized Explicit Nonlinear Model Predictive Control Using Multiclass Support Vector Machines.
IEEE Trans. Ind. Electron., 2017

Support Vector Machine Informed Explicit Nonlinear Model Predictive Control Using Low-Discrepancy Sequences.
IEEE Trans. Autom. Control., 2017

State and Unknown Input Observers for Nonlinear Systems With Bounded Exogenous Inputs.
IEEE Trans. Autom. Control., 2017

Delayed unknown input observers for discrete-time linear systems with guaranteed performance.
Syst. Control. Lett., 2017

Robust state and unknown input estimation for nonlinear systems characterized by incremental multiplier matrices.
Proceedings of the 2017 American Control Conference, 2017

2016
Nonfragile Fault-Tolerant Fuzzy Observer-Based Controller Design for Nonlinear Systems.
IEEE Trans. Fuzzy Syst., 2016

State and unknown input observers for discrete-time nonlinear systems.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Unknown input estimation via observers for nonlinear systems with measurement delays.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Distributed unknown input observers for interconnected nonlinear systems.
Proceedings of the 2016 American Control Conference, 2016

2015
Variable Neural Adaptive Robust Control: A Switched System Approach.
IEEE Trans. Neural Networks Learn. Syst., 2015

Simultaneous Unknown Input And Sensor Noise Reconstruction For Nonlinear Systems With Boundary Layer Sliding Mode Observers.
CoRR, 2015

2014
Correcting hypothalamic-pituitary-adrenal axis dysfunction using observer-based explicit nonlinear model predictive control.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Robust explicit nonlinear model predictive control with integral sliding mode.
Proceedings of the American Control Conference, 2014

2013
Stress estimation using unknown input observer.
Proceedings of the American Control Conference, 2013

2012
A hybrid scheduling protocol to improve quality of service in networked control systems.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2011
Controller Design for a Class of Uncertain Systems with Guaranteed Performance.
SIAM J. Control. Optim., 2011

Unknown input and sensor fault estimation using sliding-mode observers.
Proceedings of the American Control Conference, 2011

Variable neural adaptive robust observer for uncertain systems.
Proceedings of the 2011 IEEE International Symposium on Intelligent Control, 2011

2010
Large-scale pattern storage and retrieval using generalized brain-state-in-a-box neural networks.
IEEE Trans. Neural Networks, 2010

Estimating Regions of Asymptotic Stability of Power Electronics Systems Using Genetic Algorithms.
IEEE Trans. Control. Syst. Technol., 2010

Decentralized Dynamic Output Feedback Control of Nonlinear Interconnected Systems.
IEEE Trans. Autom. Control., 2010

Sliding-mode observers for systems with unknown inputs: A high-gain approach.
Autom., 2010

Variable neural adaptive robust output feedback control of uncertain systems.
Proceedings of the American Control Conference, 2010

2009
Control of Uncertain Systems.
Proceedings of the Springer Handbook of Automation, 2009

Reduced-order observer-based decentralised control of non-linear interconnected systems.
Int. J. Control, 2009

On decentralised control of non-linear interconnected systems.
Int. J. Control, 2009

Adaptive robust control: A piecewise Lyapunov function approach.
Proceedings of the American Control Conference, 2009

Decentralized control of multimachine power systems.
Proceedings of the American Control Conference, 2009

Sliding-mode observers for uncertain systems.
Proceedings of the American Control Conference, 2009

2008
Self-Organizing Radial Basis Function Network for Real-Time Approximation of Continuous-Time Dynamical Systems.
IEEE Trans. Neural Networks, 2008

Variable Neural Direct Adaptive Robust Control of Uncertain Systems.
IEEE Trans. Autom. Control., 2008

Decentralized control using reduced-order unknown input observers.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Control of uncertain systems with guaranteed performance.
Proceedings of the American Control Conference, 2008

Variable structure neural network based direct adaptive robust control of uncertain systems.
Proceedings of the American Control Conference, 2008

2007
Neural network prediction of peptide separation in strong anion exchange chromatography.
Bioinform., 2007

2006
On estimating regions of stability of the estimation error of sliding mode observers for uncertain systems.
Proceedings of the American Control Conference, 2006

2005
Autoassociative memory design using interconnected generalized brain-state-in-a-box neural networks.
Int. J. Neural Syst., 2005

An optimization approach to estimating stability regions using genetic algorithms.
Proceedings of the American Control Conference, 2005

Low-order unknown input observers.
Proceedings of the American Control Conference, 2005

2004
Uniformly ultimately bounded fuzzy adaptive tracking controllers for uncertain systems.
IEEE Trans. Fuzzy Syst., 2004

Simultaneous perturbation extremum seeking method for dynamic optimization problems.
Proceedings of the 2004 American Control Conference, 2004

2003
Associative Memory Design Using Overlapping Decomposition and Generalized Brain-State-in-a-Box Neural Networks.
Int. J. Neural Syst., 2003

Extremum seeking using analog nonderivative optimizers.
Proceedings of the American Control Conference, 2003

2002
Designing a genetic neural fuzzy antilock-brake-system controller.
IEEE Trans. Evol. Comput., 2002

Uniformly ultimately bounded uncertain adaptive tracking control systems.
Proceedings of the American Control Conference, 2002

Genetic fuzzy tracking controllers for autonomous ground vehicles.
Proceedings of the American Control Conference, 2002

2001
Genetic neural fuzzy control of anti-lock brake systems.
Proceedings of the American Control Conference, 2001

Fuzzy adaptive robust control of a class of nonlinear systems.
Proceedings of the American Control Conference, 2001

1999
Stabilizing fuzzy system models using linear controllers.
IEEE Trans. Fuzzy Syst., 1999

Stabilizing controller design for uncertain nonlinear systems using fuzzy models.
IEEE Trans. Fuzzy Syst., 1999

An analysis of a class of neural networks for solving linear programming problems.
IEEE Trans. Autom. Control., 1999

Synchronous and Asynchronous Brain-State-in-a-Box Information System Neural Models.
Int. J. Neural Syst., 1999

1998
Analog neural nonderivative optimizers.
IEEE Trans. Neural Networks, 1998

Real-time synthesis of sparsely interconnected neural associative memories.
Neural Networks, 1998

1997
On neural networks that design neural associative memories.
IEEE Trans. Neural Networks, 1997

1996
Learning and Forgetting in Generalized Brain-state-in-a-box (BSB) Neural Associative Memories.
Neural Networks, 1996

On the Brain-State-in-a-Convex-Domain Neural Models.
Neural Networks, 1996

1995
Solving linear programming problems with neural networks: a comparative study.
IEEE Trans. Neural Networks, 1995

Solving minimum norm problems using penalty functions and the gradient method.
Autom., 1995

1994
Synthesis of Brain-State-in-a-Box (BSB) based associative memories.
IEEE Trans. Neural Networks, 1994

The Widrow-Hoff algorithm for McCulloch-Pitts type neurons.
IEEE Trans. Neural Networks, 1994

1993
On solving constrained optimization problems with neural networks: a penalty method approach.
IEEE Trans. Neural Networks, 1993

Application of feedforward neural networks to dynamical system identification and control.
IEEE Trans. Control. Syst. Technol., 1993

On variable structure output feedback controllers for uncertain dynamic systems.
IEEE Trans. Autom. Control., 1993

Neural networks for constrained optimization problems.
Int. J. Circuit Theory Appl., 1993

1992
Dynamical analysis of the brain-state-in-a-box (BSB) neural models.
IEEE Trans. Neural Networks, 1992

Robust control synthesis for uncertain/nonlinear dynamical systems.
Autom., 1992

1991
The adaptation of perceptrons with applications to inverse dynamics identification of unknown dynamic systems.
IEEE Trans. Syst. Man Cybern., 1991

Robust stability analysis of adaptation algorithms for single perceptron.
IEEE Trans. Neural Networks, 1991

1989
Control of uncertain systems with unmodeled actuator and sensor dynamics and incomplete state information.
IEEE Trans. Syst. Man Cybern., 1989

1988
Combined observer-controller synthesis for uncertain dynamical systems with applications.
IEEE Trans. Syst. Man Cybern., 1988

Stabilization of uncertain systems subject to hard bounds on control with application to a robot manipulator.
IEEE J. Robotics Autom., 1988

Variable structure control of nonlinear multivariable systems: a tutorial.
Proc. IEEE, 1988


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