All Outputs (2297)

Estimation of tool-tissue forces in robot-assisted minimally invasive surgery using neural networks (2019)
Journal Article
Abeywardena, S., Yuan, Q., Tzemanaki, A., Psomopoulou, E., Droukas, L., Melhuish, C., & Dogramadzi, S. (2019). Estimation of tool-tissue forces in robot-assisted minimally invasive surgery using neural networks. Frontiers in Robotics and AI, 6, Article 56. https://doi.org/10.3389/frobt.2019.00056

A new algorithm is proposed to estimate the tool-tissue force interaction in robot-assisted minimally invasive surgery which does not require the use of external force sensing. The proposed method utilizes the current of the motors of the surgical in... Read More about Estimation of tool-tissue forces in robot-assisted minimally invasive surgery using neural networks.

Bi-objective optimization model for optimal placement of thyristor-controlled series compensator devices (2019)
Journal Article
Salehizadeh, M. R., Koohbijari, M. A., Nouri, H., Taşcıkaraoğlu, A., Erdinç, O., & Catalão, J. P. S. (2019). Bi-objective optimization model for optimal placement of thyristor-controlled series compensator devices. Energies, 12(13), 1-16. https://doi.org/10.3390/en12132601

Exposure to extreme weather conditions increases power systems’ vulnerability in front of high impact, low probability contingency occurrence. In the post-restructuring years, due to the increasing demand for energy, competition between electricity m... Read More about Bi-objective optimization model for optimal placement of thyristor-controlled series compensator devices.

The Clean Air Strategy 2019. Is this a new start for the management of air quality? (2019)
Presentation / Conference
Longhurst, J., Barnes, J., Hayes, E., De Vito, L., & Williams, B. (2019, June). The Clean Air Strategy 2019. Is this a new start for the management of air quality?. Presented at 27th International Conference on Air Pollution Modelling, Monitoring and Management, University of Aveiro Portugal

Introduction and context A brief overview of the UK’s air pollution problem The Clean Air Strategy 2019 – aims and intentions Evaluating the Strategy Conclusions The new strategy was published in January 2019. The foreword by the Secretary... Read More about The Clean Air Strategy 2019. Is this a new start for the management of air quality?.

Evidence from ClairCity: Citizen demand for a clean air, low carbon, healthy city (2019)
Presentation / Conference
Barnes, J., Boushel, C., De Vito, L., Fogg Rogers, L., Hayes, E., & Longhurst, J. (2019, June). Evidence from ClairCity: Citizen demand for a clean air, low carbon, healthy city. Presented at Air Pollution 2019, 27th International Conference on Modelling, Monitoring and Management of Air Pollution, Aveiro, Portugal

National Clean Air Day – what are we doing to advance the achievement of clean air for all? (2019)
Presentation / Conference
Longhurst, J. (2019, June). National Clean Air Day – what are we doing to advance the achievement of clean air for all?. Presented at Influence! 23rd Annual Conference of the Environmental Association of Universities and Colleges (EAUC), University of Manchester

Introduction and welcome Brief summary of the air quality challenge Discussion on the role of Universities and Colleges in addressing air quality Conclusions and a draft statement on the role of Universities and Colleges in achieving clean ai... Read More about National Clean Air Day – what are we doing to advance the achievement of clean air for all?.

Applying social practice theory to contemporary working practices in sustainable office buildings: Implications for the performance gap (2019)
Thesis
King, L. M. Applying social practice theory to contemporary working practices in sustainable office buildings: Implications for the performance gap. (Thesis). University of the West of England. Retrieved from https://uwe-repository.worktribe.com/output/1492737

The UK Government has committed to an 80% reduction of Greenhouse Gas (GHG) against 1990 levels by 2050. Widening understandings of the environmental impact of the built environment have fuelled debates around how the environmental performance of bui... Read More about Applying social practice theory to contemporary working practices in sustainable office buildings: Implications for the performance gap.

An ontology-based i* goal-oriented referential integrity model in systems of systems context (2019)
Journal Article
AlHajHassan, S., Odeh, M., Green, S., & Mansour, A. (2019). An ontology-based i* goal-oriented referential integrity model in systems of systems context. International Arab Journal of Information Technology, 16(3A), 565-576

System of Systems (SoS) results from the integration of a set of independent Constituent Systems (CS) that could be socio or technical, in order to offer unique functionalities. SoS is largely driven by stakeholders’ needs and goals taking into consi... Read More about An ontology-based i* goal-oriented referential integrity model in systems of systems context.

Bristol’s 2030 carbon neutrality goal. Some observations from the Urban ID Project (2019)
Presentation / Conference
Longhurst, J. (2019, May). Bristol’s 2030 carbon neutrality goal. Some observations from the Urban ID Project. Presented at Bristol’s 2030 Carbon Neutrality Goal, Bristol, England

Scope of Presentation Introduction to Urban ID Some Definitions and Statistics The Green House Gas Protocol The Urban ID Approach Boundary and Emission Questions A Pathway to Carbon Neutrality Supporting Behaviour Change How Can UWE Help?... Read More about Bristol’s 2030 carbon neutrality goal. Some observations from the Urban ID Project.

New noise-tolerant neural algorithms for future dynamic nonlinear optimization with estimation on hessian matrix inversion (2019)
Journal Article
Wei, L., Jin, L., Yang, C., Chen, K., & Li, W. (2021). New noise-tolerant neural algorithms for future dynamic nonlinear optimization with estimation on hessian matrix inversion. IEEE Transactions on Systems Man and Cybernetics: Systems, 51(4), 2611 - 2623. https://doi.org/10.1109/TSMC.2019.2916892

Nonlinear optimization problems with dynamical parameters are widely arising in many practical scientific and engineering applications, and various computational models are presented for solving them under the hypothesis of short-time invariance. To... Read More about New noise-tolerant neural algorithms for future dynamic nonlinear optimization with estimation on hessian matrix inversion.

Composite learning adaptive backstepping control using neural networks with compact supports (2019)
Journal Article
Pan, Y., Yang, C., Pratama, M., & Yu, H. (2019). Composite learning adaptive backstepping control using neural networks with compact supports. International Journal of Adaptive Control and Signal Processing, 33(12), 1726-1738. https://doi.org/10.1002/acs.3002

© 2019 John Wiley & Sons, Ltd. The ability to learn is crucial for neural network (NN) control as it is able to enhance the overall stability and robustness of control systems. In this study, a composite learning control strategy is proposed for a... Read More about Composite learning adaptive backstepping control using neural networks with compact supports.

Adaptive neural network control of underactuated surface vessels with guaranteed transient performance: Theory and experimental results (2019)
Journal Article
Chen, L., Cui, R., Yang, C., & Yan, W. (2020). Adaptive neural network control of underactuated surface vessels with guaranteed transient performance: Theory and experimental results. IEEE Transactions on Industrial Electronics, 67(5), 4024-4035. https://doi.org/10.1109/TIE.2019.2914631

In this paper, an adaptive trajectory tracking control algorithm for underactuated unmanned surface vessels (USVs) with guaranteed transient performance is proposed. To meet the realistic dynamical model of USVs, we consider that the mass and dam... Read More about Adaptive neural network control of underactuated surface vessels with guaranteed transient performance: Theory and experimental results.

Force Sensorless Admittance Control with Neural Learning for Robots with Actuator Saturation (2019)
Journal Article
Peng, G., Yang, C., He, W., & Chen, C. L. (2020). Force Sensorless Admittance Control with Neural Learning for Robots with Actuator Saturation. IEEE Transactions on Industrial Electronics, 67(4), 3138-3148. https://doi.org/10.1109/TIE.2019.2912781

© 1982-2012 IEEE. In this paper, we present a sensorless admittance control scheme for robotic manipulators to interact with unknown environments in the presence of actuator saturation. The external environment is defined as linear models with unknow... Read More about Force Sensorless Admittance Control with Neural Learning for Robots with Actuator Saturation.

The wicked problem of travel time use and the effects of ICTs (2019)
Book Chapter
Lyons, G. (in press). The wicked problem of travel time use and the effects of ICTs. In E. Ben-Elia (Ed.), The Evolving Impact of ICT on Activities and Travel Behaviour. Elsevier

Travel time matters. It is part of many people’s everyday lives. Saving of travel time and the value attributed to it remain a principal justification for investment in the transport system which in turn shapes that system, its use and in turn influe... Read More about The wicked problem of travel time use and the effects of ICTs.

Characterisation of a nuclear cave environment utilising an autonomous swarm of heterogeneous robots (2019)
Thesis
Bridgwater, T. J. F. Characterisation of a nuclear cave environment utilising an autonomous swarm of heterogeneous robots. (Thesis). University of the West of England and University of Bristol. Retrieved from https://uwe-repository.worktribe.com/output/1490801

As nuclear facilities come to the end of their operational lifetime, safe decommissioning becomes a more prevalent issue. In many such facilities there exist ‘nuclear caves’. These caves constitute areas that may have been entered infrequently, or ev... Read More about Characterisation of a nuclear cave environment utilising an autonomous swarm of heterogeneous robots.

Asymmetric bounded neural control for an uncertain robot by state feedback and output feedback (2019)
Journal Article
Kong, L., He, W., Dong, Y., Cheng, L., Yang, C., & Li, Z. (2021). Asymmetric bounded neural control for an uncertain robot by state feedback and output feedback. IEEE Transactions on Systems Man and Cybernetics: Systems, 51(3), 1735-1746. https://doi.org/10.1109/TSMC.2019.2901277

In this paper, an adaptive neural bounded control scheme is proposed for an n-link rigid robotic manipulator with unknown dynamics. With the combination of the neural approximation and backstepping technique, an adaptive neural network control policy... Read More about Asymmetric bounded neural control for an uncertain robot by state feedback and output feedback.

A task learning mechanism for the telerobots (2019)
Journal Article
Luo, J., Yang, C., Li, Q., & Wang, M. (2019). A task learning mechanism for the telerobots. International Journal of Humanoid Robotics, 16(2), 1950009. https://doi.org/10.1142/S0219843619500099

Telerobotic systems have attracted growing attention because of their superiority in the dangerous or unknown interaction tasks. It is very challengeable to exploit such systems to implement complex tasks in an autonomous way. In this paper, we propo... Read More about A task learning mechanism for the telerobots.

Efficient 3D object recognition via geometric information preservation (2019)
Journal Article
Liu, H., Cong, Y., Yang, C., & Tang, Y. (2019). Efficient 3D object recognition via geometric information preservation. Pattern Recognition, 92, 135-145. https://doi.org/10.1016/j.patcog.2019.03.025

© 2019 Elsevier Ltd Accurate 3D object recognition and 6-DOF pose estimation have been pervasively applied to a variety of applications, such as unmanned warehouse, cooperative robots, and manufacturing industry. How to extract a robust and represent... Read More about Efficient 3D object recognition via geometric information preservation.

Mathematical modelling and analysis on male urine flow rate (2019)
Thesis
Li, R. Mathematical modelling and analysis on male urine flow rate. (Thesis). University of the West of England. Retrieved from https://uwe-repository.worktribe.com/output/850507

Troublesome voiding lower urinary tract symptoms (LUTS) are a common problem in men, particularly with ageing. Management of voiding LUTS can be guided by accurate determination of underlying mechanisms, distinguishing men with voiding symptoms cause... Read More about Mathematical modelling and analysis on male urine flow rate.

Adaptive fuzzy control for coordinated multiple robots with constraint using impedance learning (2019)
Journal Article
Kong, L., He, W., Yang, C., Li, Z., & Sun, C. (2019). Adaptive fuzzy control for coordinated multiple robots with constraint using impedance learning. IEEE Transactions on Cybernetics, 49(8), 3052-3063. https://doi.org/10.1109/TCYB.2018.2838573

In this paper, we investigate fuzzy neural network (FNN) control using impedance learning for coordinated multiple constrained robots carrying a common object in the presence of the unknown robotic dynamics and the unknown environment with which the... Read More about Adaptive fuzzy control for coordinated multiple robots with constraint using impedance learning.

Admittance-based adaptive cooperative control for multiple manipulators with output constraints (2019)
Journal Article
Li, Y., Yang, C., Yan, W., Cui, R., & Annamalai, A. (2019). Admittance-based adaptive cooperative control for multiple manipulators with output constraints. IEEE Transactions on Neural Networks and Learning Systems, 30(12), 3621-3632. https://doi.org/10.1109/TNNLS.2019.2897847

This paper proposes a novel adaptive control methodology based on the admittance model for multiple manipulators transporting a rigid object cooperatively along a predefined desired trajectory. First, an admittance model is creatively applied to gene... Read More about Admittance-based adaptive cooperative control for multiple manipulators with output constraints.