# Randa Herzallah

According to our database

Collaborative distances:

^{1}, Randa Herzallah authored at least 32 papers between 2002 and 2021.Collaborative distances:

## Timeline

#### Legend:

Book In proceedings Article PhD thesis Other## Links

#### On csauthors.net:

## Bibliography

2021

Decentralised Probabilistic Consensus Control for Stochastic Complex Dynamical Networks.

IEEE Control. Syst. Lett., 2021

2020

Int. J. Control, 2020

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

IEEE Access, 2020

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

2019

Probabilistic Message Passing for Decentralized Control of Stochastic Complex Systems.

IEEE Access, 2019

Fully Probabilistic Design for Stochastic Discrete System with Multiplicative Noise.

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

A Fully Probabilistic Decentralised Control Design for Complex Stochastic Systems.

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.

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.

Proceedings of the IEEE International Conference on Big Data, 2018

2017

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

Int. J. Syst. Sci., 2017

2015

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

Neural Networks, 2015

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

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

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

2013

Neural Networks, 2013

2012

Int. J. Control, 2012

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

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

2011

Neural Networks, 2011

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

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

2010

Int. J. Syst. Sci., 2010

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

Proceedings of the ICFC-ICNC 2010, 2010

2009

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

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

Proceedings of the ICINCO 2009, 2009

2008

IEEE Trans. Neural Networks, 2008

Stochastic Control Strategies and Adaptive Critic Methods.

Proceedings of the ICINCO 2008, 2008

2007

Distribution Modeling of Nonlinear Inverse Controllers Under a Bayesian Framework.

IEEE Trans. Neural Networks, 2007

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

Control. Intell. Syst., 2007

Autom., 2007

2004

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

Eng. Appl. Artif. Intell., 2004

2003

PhD thesis, 2003

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

Neural Comput. Appl., 2003

2002

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

Proceedings of the Artificial Neural Networks, 2002