Randa Herzallah

Qichun Zhang

Int. J. Syst. Sci., June, 2023

An efficient message passing algorithm for decentrally controlling complex systems.

[BibT_eX]

[DOI]

Int. J. Control, March, 2023

2022

Probabilistic Message-Passing Control.

[BibT_eX]

[DOI]

Yazan K. Qarout

IEEE Trans. Syst. Man Cybern. Syst., 2022

Estimation of the probabilistic description of quantum physical systems.

[BibT_eX]

[DOI]

Abdessamad Belfakir

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022

2021

A Fully Probabilistic Design for Tracking Control for Stochastic Systems With Input Delay.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2021

Probabilistic message passing control for complex stochastic switching systems.

[BibT_eX]

[DOI]

J. Frankl. Inst., 2021

Advanced Fusion and Empirical Mode Decomposition-Based Filtering Methods for Breathing Rate Estimation from Seismocardiogram Signals.

[BibT_eX]

[DOI]

Christina Kozia

Inf., 2021

A fully probabilistic design for stochastic systems with input delay.

[BibT_eX]

[DOI]

Int. J. Control, 2021

Decentralised Probabilistic Consensus Control for Stochastic Complex Dynamical Networks.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2021

2020

PMAC: probabilistic multimodality adaptive control.

[BibT_eX]

[DOI]

Int. J. Control, 2020

DOBC Based Fully Probability Design for Stochastic System With the Multiplicative Noise.

[BibT_eX]

[DOI]

IEEE Access, 2020

Optimal Electricity Trading Strategy for a Household Microgrid.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE International Conference on Control & Automation, 2020

2019

Probabilistic Message Passing for Decentralized Control of Stochastic Complex Systems.

[BibT_eX]

[DOI]

IEEE Access, 2019

Fully Probabilistic Design for Stochastic Discrete System with Multiplicative Noise.

[BibT_eX]

[DOI]

Ana Zafar

Proceedings of the 15th IEEE International Conference on Control and Automation, 2019

A Fully Probabilistic Decentralised Control Design for Complex Stochastic Systems.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Conference on Control and Automation, 2019

2018

ECG-Derived Respiration Using a Real-Time QRS Detector Based on Empirical Mode Decomposition.

[BibT_eX]

[DOI]

Christina Kozia

Proceedings of the 12th International Conference on Signal Processing and Communication Systems, 2018

Performance Prediction using Neural Network and Confidence Intervals: a Gas Turbine application.

[BibT_eX]

[DOI]

Silvia Cisotto

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Scalable Harmonization of Complex Networks With Local Adaptive Controllers.

[BibT_eX]

[DOI]

Miroslav Kárný

IEEE Trans. Syst. Man Cybern. Syst., 2017

Towards probabilistic synchronisation of local controllers.

[BibT_eX]

[DOI]

Miroslav Kárný

Int. J. Syst. Sci., 2017

2015

Fully probabilistic control for stochastic nonlinear control systems with input dependent noise.

[BibT_eX]

[DOI]

Neural Networks, 2015

Generalised Riccati solution and pinning control of complex stochastic networks.

[BibT_eX]

[DOI]

Int. J. Model. Identif. Control., 2015

Driving licensing renewal policy using neural network-based probabilistic decision support system.

[BibT_eX]

[DOI]

Wa'el H. 'Awad

Int. J. Comput. Appl. Technol., 2015

2013

Probabilistic DHP adaptive critic for nonlinear stochastic control systems.

[BibT_eX]

[DOI]

Neural Networks, 2013

2012

Probabilistic synchronisation of pinning control.

[BibT_eX]

[DOI]

Int. J. Control, 2012

Fully Probabilistic Adaptive Control with Arbitrary Density Functions of Forward Models and Inverse Controllers.

[BibT_eX]

[DOI]

Proceedings of the 7th IFAC Symposium on Robust Control Design, 2012

2011

Fully probabilistic control design in an adaptive critic framework.

[BibT_eX]

[DOI]

Miroslav Kárný

Neural Networks, 2011

Enhancing the performance of intelligent control systems in the face of higher levels of complexity and uncertainty.

[BibT_eX]

[DOI]

Int. J. Model. Identif. Control., 2011

2010

Probabilistic dual heuristic programming-based adaptive critic.

[BibT_eX]

[DOI]

Int. J. Syst. Sci., 2010

Estimation of Quantum Time Length for Round-robin Scheduling Algorithm using Neural Networks .

[BibT_eX]

Omar AlHeyasat

Proceedings of the ICFC-ICNC 2010, 2010

2009

A novel cautious controller to uncertain models arising in stochastic control.

[BibT_eX]

[DOI]

Int. J. Model. Identif. Control., 2009

Riccati Solution for Discrete Stochastic Systems with State and Control Dependent Noise.

[BibT_eX]

Proceedings of the ICINCO 2009, 2009

2008

A Bayesian Perspective on Stochastic Neurocontrol.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2008

Stochastic Control Strategies and Adaptive Critic Methods.

[BibT_eX]

Proceedings of the ICINCO 2008, 2008

2007

Distribution Modeling of Nonlinear Inverse Controllers Under a Bayesian Framework.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2007

Dual Version of Neural Adaptive controller for stochastic nonlinear Systems with Functional Uncertainty.

[BibT_eX]

[DOI]

Control. Intell. Syst., 2007

Adaptive critic methods for stochastic systems with input-dependent noise.

[BibT_eX]

[DOI]

Autom., 2007

2004

A mixture density network approach to modelling and exploiting uncertainty in nonlinear control problems.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2004

2003

Exploiting uncertainty in nonlinear stochastic control problem.

[BibT_eX]

[DOI]

PhD thesis, 2003

Robust control of nonlinear stochastic systems by modelling conditional distributions of control signals.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2003

2002

A Novel Approach to Modelling and Exploiting Uncertainty in Stochastic Control Systems.

[BibT_eX]

[DOI]