All Outputs (4)

Variance and Entropy Assignment for Continuous-Time Stochastic Nonlinear Systems (2021)
Journal Article
Tang, X., Zhou, Y., Zou, Y., & Zhang, Q. (2022). Variance and Entropy Assignment for Continuous-Time Stochastic Nonlinear Systems. Entropy, 24(1), Article 25. https://doi.org/10.3390/e24010025

This paper investigates the randomness assignment problem for a class of continuous-time stochastic nonlinear systems, where variance and entropy are employed to describe the investigated systems. In particular, the system model is formulated by a st... Read More about Variance and Entropy Assignment for Continuous-Time Stochastic Nonlinear Systems.

An efficient message passing algorithm for decentrally controlling complex systems (2021)
Journal Article
Herzallah, R., & Zhou, Y. (2023). An efficient message passing algorithm for decentrally controlling complex systems. International Journal of Control, 96(3), 719-730. https://doi.org/10.1080/00207179.2021.2011422

This paper proposes a decentralised stochastic control framework for a class of large-scale and complex dynamic networks. The proposed framework describes a decentralised probabilistic control and message passing architecture of mutually interacting... Read More about An efficient message passing algorithm for decentrally controlling complex systems.

Probabilistic message passing control for complex stochastic switching systems (2021)
Journal Article
Zhou, Y., & Herzallah, R. (2021). Probabilistic message passing control for complex stochastic switching systems. Journal of The Franklin Institute, 358(10), 5451-5469. https://doi.org/10.1016/j.jfranklin.2021.04.040

In this paper, we propose a general decentralised probabilistic control framework for a class of complex stochastic systems with switching modes. Probabilistic state space models are exploited to characterise the subsystems’ dynamical behaviours cons... Read More about Probabilistic message passing control for complex stochastic switching systems.

Probabilistic decentralised control and message passing framework for future grid (2021)
Journal Article
Herzallah, R., & Zhou, Y. (2021). Probabilistic decentralised control and message passing framework for future grid. International Journal of Electrical Power and Energy Systems, 131, Article 107114. https://doi.org/10.1016/j.ijepes.2021.107114

In this paper, we propose a unified probabilistic decentralised control and message passing framework for real time control of the electrical grid which enables the development of the future smart grid. The key elements of the proposed framework are... Read More about Probabilistic decentralised control and message passing framework for future grid.