Outputs (103)

Transient CFD modelling of air–water two-phase annular flow characteristics in a small horizontal circular pipe (2022)
Journal Article
Yao, J., & Yao, Y. (2022). Transient CFD modelling of air–water two-phase annular flow characteristics in a small horizontal circular pipe. Fluids, 7(6), Article 191. https://doi.org/10.3390/fluids7060191

The liquid film formed around the inner walls of a small horizontal circular pipe often exhibits non-uniform distributions circumferentially, where the film is thinner at the top surface than the bottom one. Even with this known phenomenon, the probl... Read More about Transient CFD modelling of air–water two-phase annular flow characteristics in a small horizontal circular pipe.

Unsteady flow oscillations in a 3-D ventilated model room with convective heat transfer (2022)
Journal Article
Yao, J., & Yao, Y. (2022). Unsteady flow oscillations in a 3-D ventilated model room with convective heat transfer. Fluids, 7(6), Article 192. https://doi.org/10.3390/fluids7060192

Improving indoor air quality and energy consumption is one of the high demands in the building sector. In this study, unsteady flow oscillations in a 3-D ventilated model room with convective heat transfer have been studied for three configurations o... Read More about Unsteady flow oscillations in a 3-D ventilated model room with convective heat transfer.

Least square algorithm based on bias compensated principle for parameter estimation of canonical state space model (2022)
Journal Article
Liu, L., Long, Z., Azar, A. T., Zhu, Q., Ibraheem, I. K., & Humaidi, A. J. (2022). Least square algorithm based on bias compensated principle for parameter estimation of canonical state space model. Measurement and Control, 55(5-6), https://doi.org/10.1177/00202940211064179

Due to the existence of system noise and unknown state variables, it is difficult to realize unbiased estimation with minimum variance for the parameter estimation of canonical state space model. This paper presents a new least squares estimator base... Read More about Least square algorithm based on bias compensated principle for parameter estimation of canonical state space model.

Robotic dexterous manipulation: From tele-operation to autonomous learning and adaptive control (2022)
Journal Article
Li, Q., Liu, C., Yang, C., Chen, F., & Ritter, H. (2022). Robotic dexterous manipulation: From tele-operation to autonomous learning and adaptive control. Complex and Intelligent Systems, 8(4), 2809-2811. https://doi.org/10.1007/s40747-022-00773-y

Manipulation is one essential capability that enables robots to interact with and change the world. It is very important to understand the principles on how dexterous manipulation can be achieved from theoretical and technical aspects. From this spec... Read More about Robotic dexterous manipulation: From tele-operation to autonomous learning and adaptive control.

A spiking neural network model of rodent head direction calibrated with landmark free learning (2022)
Journal Article
Stentiford, R., Knowles, T. C., & Pearson, M. J. (2022). A spiking neural network model of rodent head direction calibrated with landmark free learning. Frontiers in Neurorobotics, 16, -. https://doi.org/10.3389/fnbot.2022.867019

Maintaining a stable estimate of head direction requires both self-motion (idiothetic) information and environmental (allothetic) anchoring. In unfamiliar or dark environments idiothetic drive can maintain a rough estimate of heading but is subject t... Read More about A spiking neural network model of rodent head direction calibrated with landmark free learning.

Primary pathways: elementary pupils’ aspiration to be engineers and STEM subject interest (2022)
Journal Article
Edmonds, J., Lewis, F., & Fogg Rogers, L. (2022). Primary pathways: elementary pupils’ aspiration to be engineers and STEM subject interest. International Journal of Science Education, Part B: Communication and Public Engagement, 12(3), 221-234. https://doi.org/10.1080/21548455.2022.2067906

Across Europe, there is concern about the number and diversity of pupils taking study routes leading to Engineering. There is growing evidence that these career choices begin to form at elementary school age (Moote et al., 2020). Science, maths and d... Read More about Primary pathways: elementary pupils’ aspiration to be engineers and STEM subject interest.

Adaptive fixed-time neural networks control for pure-feedback non-affine nonlinear systems with state constraints (2022)
Journal Article
Li, Y., Zhu, Q., Zhang, J., & Deng, Z. (2022). Adaptive fixed-time neural networks control for pure-feedback non-affine nonlinear systems with state constraints. Entropy, 24(5), 737. https://doi.org/10.3390/e24050737

A new fixed-time adaptive neural network control strategy is designed for pure-feedback non-affine nonlinear systems with state constraints according to the feedback signal of the error system. Based on the adaptive backstepping technology, the Lyapu... Read More about Adaptive fixed-time neural networks control for pure-feedback non-affine nonlinear systems with state constraints.

Robust variable-step perturb-and-observe sliding mode controller for grid-connected wind-energy-conversion systems (2022)
Journal Article
Toumi, I., Meghni, B., Hachana, O., Azar, A. T., Boulmaiz, A., Humaidi, A. J., …Bahgaat, N. K. (in press). Robust variable-step perturb-and-observe sliding mode controller for grid-connected wind-energy-conversion systems. Entropy, 24(5), 731. https://doi.org/10.3390/e24050731

In order to extract efficient power generation, a wind turbine (WT) system requires an accurate maximum power point tracking (MPPT) technique. Therefore, a novel robust variable-step perturb-and-observe (RVS-P&O) algorithm was developed for the machi... Read More about Robust variable-step perturb-and-observe sliding mode controller for grid-connected wind-energy-conversion systems.

Enhanced suppression of longitudinal vibration transmission in propulsion shaft system using nonlinear tuned mass damper inerter (2022)
Journal Article
Dai, W., Shi, B., Yang, J., Zhu, X., & Li, T. (in press). Enhanced suppression of longitudinal vibration transmission in propulsion shaft system using nonlinear tuned mass damper inerter. Journal of Vibration and Control, 107754632210811. https://doi.org/10.1177/10775463221081183

This study proposes the use of a novel nonlinear tuned mass damper inerter device in vibration suppression of the ship propulsion shafting system and evaluates its performance. The device consists of an axial inerter and a pair of lateral inerters to... Read More about Enhanced suppression of longitudinal vibration transmission in propulsion shaft system using nonlinear tuned mass damper inerter.

Improvements in learning to control perched landings (2022)
Journal Article
Fletcher, L., Clarke, R., Richardson, T., & Hansen, M. (2022). Improvements in learning to control perched landings. Aeronautical Journal, 126(1301), 1101-1123. https://doi.org/10.1017/aer.2022.48

Reinforcement learning has previously been applied to the problem of controlling a perched landing manoeuvre for a custom sweep-wing aircraft. Previous work showed that the use of domain randomisation to train with atmospheric disturbances improved t... Read More about Improvements in learning to control perched landings.