Variable structure control of nonlinear multivariable systems: a tutorial. - Raymond A. DeCarlo; Stanislaw H. Zak; Gregory P. Matthews (Proc. IEEE, 1988)

Stabilization of uncertain systems subject to hard bounds on control with application to a robot manipulator. - Mehrez Hached; S. Mehdi Madani-Esfahani; Stanislaw H. Zak (IEEE J. Robotics Autom., 1988)

Combined observer-controller synthesis for uncertain dynamical systems with applications. - Bruce Walcott; Stanislaw H. Zak (IEEE Trans. Syst. Man Cybern., 1988)

Control of uncertain systems with unmodeled actuator and sensor dynamics and incomplete state information. - Stanislaw H. Zak; James D. Brehove; Martin J. Corless (IEEE Trans. Syst. Man Cybern., 1989)

Robust stability analysis of adaptation algorithms for single perceptron. - Stefen Hui; Stanislaw H. Zak (IEEE Trans. Neural Networks, 1991)

The adaptation of perceptrons with applications to inverse dynamics identification of unknown dynamic systems. - Hebertt Sira-Ramírez; Stanislaw H. Zak (IEEE Trans. Syst. Man Cybern., 1991)

Robust control synthesis for uncertain/nonlinear dynamical systems. - Stefen Hui; Stanislaw H. Zak (Autom., 1992)

Dynamical analysis of the brain-state-in-a-box (BSB) neural models. - Stefen Hui; Stanislaw H. Zak (IEEE Trans. Neural Networks, 1992)

Neural networks for constrained optimization problems. - Walter E. Lillo; Stefen Hui; Stanislaw H. Zak (Int. J. Circuit Theory Appl., 1993)

On variable structure output feedback controllers for uncertain dynamic systems. - Stanislaw H. Zak; Stefen Hui (IEEE Trans. Autom. Control., 1993)

Application of feedforward neural networks to dynamical system identification and control. - John G. Kuschewski; Stefen Hui; Stanislaw H. Zak (IEEE Trans. Control. Syst. Technol., 1993)

On solving constrained optimization problems with neural networks: a penalty method approach. - Walter E. Lillo; Mei Heng Loh; Stefen Hui; Stanislaw H. Zak (IEEE Trans. Neural Networks, 1993)

The Widrow-Hoff algorithm for McCulloch-Pitts type neurons. - Stefen Hui; Stanislaw H. Zak (IEEE Trans. Neural Networks, 1994)

Synthesis of Brain-State-in-a-Box (BSB) based associative memories. - Walter E. Lillo; David C. Miller; Stefen Hui; Stanislaw H. Zak (IEEE Trans. Neural Networks, 1994)

Solving minimum norm problems using penalty functions and the gradient method. - Stefen Hui; Walter E. Lillo; Stanislaw H. Zak (Autom., 1995)

Solving linear programming problems with neural networks: a comparative study. - Stanislaw H. Zak; Viriya Upatising; Stefen Hui (IEEE Trans. Neural Networks, 1995)

On the Brain-State-in-a-Convex-Domain Neural Models. - Ildikó Varga; Gábor Elek; Stanislaw H. Zak (Neural Networks, 1996)

Learning and Forgetting in Generalized Brain-state-in-a-box (BSB) Neural Associative Memories. - Stanislaw H. Zak; Walter E. Lillo; Stefen Hui (Neural Networks, 1996)

On neural networks that design neural associative memories. - Hubert Y. Chan 001; Stanislaw H. Zak (IEEE Trans. Neural Networks, 1997)

Real-time synthesis of sparsely interconnected neural associative memories. - Hubert Y. Chan 001; Stanislaw H. Zak (Neural Networks, 1998)

Analog neural nonderivative optimizers. - Marcelo C. M. Teixeira; Stanislaw H. Zak (IEEE Trans. Neural Networks, 1998)

Synchronous and Asynchronous Brain-State-in-a-Box Information System Neural Models. - Hubert Y. Chan 001; Stefen Hui; Stanislaw H. Zak (Int. J. Neural Syst., 1999)

An analysis of a class of neural networks for solving linear programming problems. - Edwin K. P. Chong; Stefen Hui; Stanislaw H. Zak (IEEE Trans. Autom. Control., 1999)

Stabilizing controller design for uncertain nonlinear systems using fuzzy models. - Marcelo C. M. Teixeira; Stanislaw H. Zak (IEEE Trans. Fuzzy Syst., 1999)

Stabilizing fuzzy system models using linear controllers. - Stanislaw H. Zak (IEEE Trans. Fuzzy Syst., 1999)

Fuzzy adaptive robust control of a class of nonlinear systems. - Yonggon Lee; Jian Qin Gong; Bin Yao; Stanislaw H. Zak (ACC, 2001)

Genetic neural fuzzy control of anti-lock brake systems. - Yonggon Lee; Stanislaw H. Zak (ACC, 2001)

Genetic fuzzy tracking controllers for autonomous ground vehicles. - Yonggon Lee; Stanislaw H. Zak (ACC, 2002)

Uniformly ultimately bounded uncertain adaptive tracking control systems. - Yonggon Lee; Stanislaw H. Zak (ACC, 2002)

Designing a genetic neural fuzzy antilock-brake-system controller. - Yonggon Lee; Stanislaw H. Zak (IEEE Trans. Evol. Comput., 2002)

Extremum seeking using analog nonderivative optimizers. - Nusawardhana; Stanislaw H. Zak (ACC, 2003)

Associative Memory Design Using Overlapping Decomposition and Generalized Brain-State-in-a-Box Neural Networks. - Cheolhwan Oh; Stanislaw H. Zak (Int. J. Neural Syst., 2003)

Simultaneous perturbation extremum seeking method for dynamic optimization problems. - Nusawardhana; Stanislaw H. Zak (ACC, 2004)

Uniformly ultimately bounded fuzzy adaptive tracking controllers for uncertain systems. - Yonggon Lee; Stanislaw H. Zak (IEEE Trans. Fuzzy Syst., 2004)

Low-order unknown input observers. - Stefan Hui; Stanislaw H. Zak (ACC, 2005)

An optimization approach to estimating stability regions using genetic algorithms. - Benjamin P. Loop; Scott D. Sudhoff; Stanislaw H. Zak; Edwin L. Zivi (ACC, 2005)

Autoassociative memory design using interconnected generalized brain-state-in-a-box neural networks. - Cheolhwan Oh; Stanislaw H. Zak; Guisheng Zhai (Int. J. Neural Syst., 2005)

On estimating regions of stability of the estimation error of sliding mode observers for uncertain systems. - Stefen Hui; Scott D. Sudhoff; Stanislaw H. Zak (ACC, 2006)

Neural network prediction of peptide separation in strong anion exchange chromatography. - Cheolhwan Oh; Stanislaw H. Zak; Hamid Mirzaei; Charles R. Buck; Fred E. Regnier; Xiang Zhang (Bioinform., 2007)

Variable structure neural network based direct adaptive robust control of uncertain systems. - Jianming Lian; Yonggon Lee; Scott D. Sudhoff; Stanislaw H. Zak (ACC, 2008)

Control of uncertain systems with guaranteed performance. - Jianming Lian; Scott D. Sudhoff; Stanislaw H. Zak (ACC, 2008)

Decentralized control using reduced-order unknown input observers. - Karanjit Kalsi; Jianming Lian; Stanislaw H. Zak (CDC, 2008)

Variable Neural Direct Adaptive Robust Control of Uncertain Systems. - Jianming Lian; Yonggon Lee; Stanislaw H. Zak (IEEE Trans. Autom. Control., 2008)

Self-Organizing Radial Basis Function Network for Real-Time Approximation of Continuous-Time Dynamical Systems. - Jianming Lian; Yonggon Lee; Scott D. Sudhoff; Stanislaw H. Zak (IEEE Trans. Neural Networks, 2008)

Sliding-mode observers for uncertain systems. - Karanjit Kalsi; Jianming Lian; Stefen Hui; Stanislaw H. Zak (ACC, 2009)

Decentralized control of multimachine power systems. - Karanjit Kalsi; Jianming Lian; Stanislaw H. Zak (ACC, 2009)

Adaptive robust control: A piecewise Lyapunov function approach. - Jianming Lian; Jianghai Hu; Stanislaw H. Zak (ACC, 2009)

On decentralised control of non-linear interconnected systems. - Karanjit Kalsi; Jianming Lian; Stanislaw H. Zak (Int. J. Control, 2009)

Reduced-order observer-based decentralised control of non-linear interconnected systems. - Karanjit Kalsi; Jianming Lian; Stanislaw H. Zak (Int. J. Control, 2009)

Control of Uncertain Systems. - Jianming Lian; Stanislaw H. Zak (Handbook of Automation, 2009)

Variable neural adaptive robust output feedback control of uncertain systems. - Jianming Lian; Wei Zhang 013; Jianghai Hu; Stanislaw H. Zak (ACC, 2010)

Sliding-mode observers for systems with unknown inputs: A high-gain approach. - Karanjit Kalsi; Jianming Lian; Stefen Hui; Stanislaw H. Zak (Autom., 2010)

Decentralized Dynamic Output Feedback Control of Nonlinear Interconnected Systems. - Karanjit Kalsi; Jianming Lian; Stanislaw H. Zak (IEEE Trans. Autom. Control., 2010)

Estimating Regions of Asymptotic Stability of Power Electronics Systems Using Genetic Algorithms. - Benjamin P. Loop; Scott D. Sudhoff; Stanislaw H. Zak; Edwin L. Zivi (IEEE Trans. Control. Syst. Technol., 2010)

Large-scale pattern storage and retrieval using generalized brain-state-in-a-box neural networks. - Cheolhwan Oh; Stanislaw H. Zak (IEEE Trans. Neural Networks, 2010)

Variable neural adaptive robust observer for uncertain systems. - Jianming Lian; Jianghai Hu; Stanislaw H. Zak (ISIC, 2011)

Unknown input and sensor fault estimation using sliding-mode observers. - Karanjit Kalsi; Stefen Hui; Stanislaw H. Zak (ACC, 2011)

Controller Design for a Class of Uncertain Systems with Guaranteed Performance. - Jianming Lian; Stanislaw H. Zak (SIAM J. Control. Optim., 2011)

A hybrid scheduling protocol to improve quality of service in networked control systems. - Ahmed Elmahdi; Ahmad F. Taha; Stefen Hui; Stanislaw H. Zak (Allerton Conference, 2012)

Stress estimation using unknown input observer. - Stefen Hui; Stanislaw H. Zak (ACC, 2013)

Robust explicit nonlinear model predictive control with integral sliding mode. - Ankush Chakrabarty; Vu C. Dinh; Gregery T. Buzzard; Stanislaw H. Zak; Ann E. Rundell (ACC, 2014)

Correcting hypothalamic-pituitary-adrenal axis dysfunction using observer-based explicit nonlinear model predictive control. - Ankush Chakrabarty; Gregery T. Buzzard; Martin J. Corless; Stanislaw H. Zak; Ann E. Rundell (EMBC, 2014)

Simultaneous Unknown Input And Sensor Noise Reconstruction For Nonlinear Systems With Boundary Layer Sliding Mode Observers. - Ankush Chakrabarty; Gregery T. Buzzard; Stanislaw H. Zak; Fanglai Zhu; Ann E. Rundell (CoRR, 2015)

Variable Neural Adaptive Robust Control: A Switched System Approach. - Jianming Lian; Jianghai Hu; Stanislaw H. Zak (IEEE Trans. Neural Networks Learn. Syst., 2015)

Distributed unknown input observers for interconnected nonlinear systems. - Ankush Chakrabarty; Shreyas Sundaram; Martin J. Corless; Gregery T. Buzzard; Stanislaw H. Zak; Ann E. Rundell (ACC, 2016)

Unknown input estimation via observers for nonlinear systems with measurement delays. - Ankush Chakrabarty; Gregery T. Buzzard; Emilia Fridman; Stanislaw H. Zak (CDC, 2016)

State and unknown input observers for discrete-time nonlinear systems. - Ankush Chakrabarty; Stanislaw H. Zak; Shreyas Sundaram (CDC, 2016)

Nonfragile Fault-Tolerant Fuzzy Observer-Based Controller Design for Nonlinear Systems. - Xiaohang Li; Fanglai Zhu; Ankush Chakrabarty; Stanislaw H. Zak (IEEE Trans. Fuzzy Syst., 2016)

Robust state and unknown input estimation for nonlinear systems characterized by incremental multiplier matrices. - Stanislaw H. Zak; Ankush Chakrabarty; Gregery T. Buzzard (ACC, 2017)

Delayed unknown input observers for discrete-time linear systems with guaranteed performance. - Ankush Chakrabarty; Raid Ayoub; Stanislaw H. Zak; Shreyas Sundaram (Syst. Control. Lett., 2017)

State and Unknown Input Observers for Nonlinear Systems With Bounded Exogenous Inputs. - Ankush Chakrabarty; Martin J. Corless; Gregery T. Buzzard; Stanislaw H. Zak; Ann E. Rundell (IEEE Trans. Autom. Control., 2017)

Support Vector Machine Informed Explicit Nonlinear Model Predictive Control Using Low-Discrepancy Sequences. - Ankush Chakrabarty; Vu C. Dinh; Martin J. Corless; Ann E. Rundell; Stanislaw H. Zak; Gregery T. Buzzard (IEEE Trans. Autom. Control., 2017)

Output-Tracking Quantized Explicit Nonlinear Model Predictive Control Using Multiclass Support Vector Machines. - Ankush Chakrabarty; Gregery T. Buzzard; Stanislaw H. Zak (IEEE Trans. Ind. Electron., 2017)

State and unknown input observers for nonlinear systems with delayed measurements. - Ankush Chakrabarty; Emilia Fridman; Stanislaw H. Zak; Gregery T. Buzzard (Autom., 2018)

Unknown Input Estimation for Nonlinear Systems Using Sliding Mode Observers and Smooth Window Functions. - Ankush Chakrabarty; Ann E. Rundell; Stanislaw H. Zak; Fanglai Zhu; Gregery T. Buzzard (SIAM J. Control. Optim., 2018)

Adaptive Unknown Input and State Observers. - Badriah Alenezi; Jianghai Hu; Stanislaw H. Zak (ACC, 2019)

Vector Recovery for a Linear System Corrupted by Unknown Sparse Error Vectors With Applications to Secure State Estimation. - Mukai Zhang; Stefen Hui; Mark R. Bell; Stanislaw H. Zak (IEEE Control. Syst. Lett., 2019)

State Estimation of Networked Control Systems Corrupted by Unknown Input and Output Sparse Errors. - Mukai Zhang; Badriah Alenezi; Stefen Hui; Stanislaw H. Zak (ACC, 2020)

Observer-Based Controller Synthesis for Decentralized Networked Systems. - Badriah Alenezi; Mukai Zhang; Stanislaw H. Zak (CCTA, 2020)

State Observers and Unknown Input Estimators for Discrete-Time Nonlinear Systems Characterized by Incremental Multiplier Matrices. - Badriah Alenezi; Mukai Zhang; Stefen Hui; Stanislaw H. Zak (CDC, 2020)

On the Estimation of Unknown Input and Output Disturbances in Discrete-Time Linear Systems. - Badriah Alenezi; Mukai Zhang; Stefen Hui; Stanislaw H. Zak (CDC, 2021)

Unknown Input Observers for Discretized Systems With Application to Networked Systems Corrupted by Sparse Malicious Packet Drops. - Mukai Zhang; Badriah Alenezi; Stefen Hui; Stanislaw H. Zak (IEEE Control. Syst. Lett., 2021)

Simultaneous Estimation of the State, Unknown Input, and Output Disturbance in Discrete-Time Linear Systems. - Badriah Alenezi; Mukai Zhang; Stefen Hui; Stanislaw H. Zak (IEEE Trans. Autom. Control., 2021)

Compensator Synthesis for Unsecured Cyber-Physical Systems. - Mukai Zhang; Badriah Alenezi; Stefen Hui; Vijay Gupta 001; Stanislaw H. Zak (CCTA, 2022)

A Survey of Federated Learning for Connected and Automated Vehicles. - Vishnu Pandi Chellapandi; Liangqi Yuan; Stanislaw H. Zak; Ziran Wang (ITSC, 2023)

On the Convergence of Decentralized Federated Learning Under Imperfect Information Sharing. - Vishnu Pandi Chellapandi; Antesh Upadhyay; Abolfazl Hashemi; Stanislaw H. Zak (IEEE Control. Syst. Lett., 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. - Zoran Babovic; Branislav Bajat; Vladan Dokic; Filip Dordevic; Drazen Draskovic; Nenad Filipovic; Borko Furht; Nikola Gacic; Igor Ikodinovic; Marija Ilic; Ayhan Irfanoglu; Branislav Jelenkovic; et al. (J. Big Data, 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. - Zoran Babovic; Branislav Bajat; Dusan Barac; Vesna Bengin; Vladan Dokic; Filip Dordevic; Drazen Draskovic; Nenad Filipovic; Stephan French; Borko Furht; Marija Ilic; Ayhan Irfanoglu; et al. (J. Big Data, 2023)

Model Based Regulation of Thyroid Hormones in Patients with Hypothyroidism. - Vittal Srinivasan; Stanislaw H. Zak; Cary N. Mariash (ACC, 2024)

Decentralized Federated Learning: Model Update Tracking Under Imperfect Information Sharing. - Vishnu Pandi Chellapandi; Antesh Upadhyay; Abolfazl Hashemi; Stanislaw H. Zak (IEEE Big Data, 2024)

FedMFS: Federated Multimodal Fusion Learning with Selective Modality Communication. - Liangqi Yuan; Dong-Jun Han; Vishnu Pandi Chellapandi; Stanislaw H. Zak; Christopher G. Brinton (ICC, 2024)

FedNMUT - Federated Noisy Model Update Tracking Convergence Analysis. - Vishnu Pandi Chellapandi; Antesh Upadhyay; Abolfazl Hashemi; Stanislaw H. Zak (CoRR, 2024)

Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges. - Vishnu Pandi Chellapandi; Liangqi Yuan; Christopher G. Brinton; Stanislaw H. Zak; Ziran Wang (IEEE Trans. Intell. Veh., 2024)