Barry Lennox

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Farshad ArvinProfessor of Robotics, Durham UniversityAdresse e-mail validée de durham.ac.uk
Simon WatsonReader in Robotic Systems, The University of ManchesterAdresse e-mail validée de manchester.ac.uk
Gary MontagueTeesside UniversityAdresse e-mail validée de tees.ac.uk
Andrew WestPostdoctoral Research Associate, The University of ManchesterAdresse e-mail validée de manchester.ac.uk
Ognjen MarjanovicSenior lecturer, University of ManchesterAdresse e-mail validée de manchester.ac.uk
Joaquin CarrascoThe University of ManchesterAdresse e-mail validée de manchester.ac.uk
keir grovesResearch Fellow, The University of ManchesterAdresse e-mail validée de manchester.ac.uk
Junyan HuAssistant Professor, SMIEEE, FHEA, Durham UniversityAdresse e-mail validée de durham.ac.uk
Malcolm JoyceDistinguished Professor of Nuclear Engineering, Lancaster University, United KingdomAdresse e-mail validée de lancaster.ac.uk
Hanlin NiuThe University of ManchesterAdresse e-mail validée de manchester.ac.uk
Ioannis TsitsimpelisLancaster UniversityAdresse e-mail validée de lancaster.ac.uk
Peter GreenThe University of ManchesterAdresse e-mail validée de manchester.ac.uk
Wei CheahUniversity of ManchesterAdresse e-mail validée de manchester.ac.uk
Hugo HidenPrincipal Research Associate, Newcastle UniversityAdresse e-mail validée de newcastle.ac.uk
Arron GriffithsClearpath RoboticsAdresse e-mail validée de clearpathrobotics.com
Zhengtao DingProfessor of Control Systems, University of ManchesterAdresse e-mail validée de manchester.ac.uk
Stephen GoldrickLecturer in Bioprocess Digitisation, University College LondonAdresse e-mail validée de ucl.ac.uk
Tomas KrajnikCzech Technical University in Prague, Artificial Intelligence CenterAdresse e-mail validée de fel.cvut.cz
Hongwei ZhangDeputy Director, National Centre of Excellence for Food Engineering, Sheffield Hallam UniversityAdresse e-mail validée de shu.ac.uk
William HeathBangor UniversityAdresse e-mail validée de bangor.ac.uk

Suivre

Barry Lennox

Professor of Applied Control, University of Manchester

Adresse e-mail validée de manchester.ac.uk

Control Systems Nuclear Robotics


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Voronoi-based multi-robot autonomous exploration in unknown environments via deep reinforcement learning J Hu, H Niu, J Carrasco, B Lennox, F Arvin IEEE Transactions on Vehicular Technology 69 (12), 14413-14423, 2020	480	2020
Handbook of neural computation E Fiesler, R Beale CRC Press, 2020	358	2020
A review of ground-based robotic systems for the characterization of nuclear environments I Tsitsimpelis, CJ Taylor, B Lennox, MJ Joyce Progress in nuclear energy 111, 109-124, 2019	259	2019
Recursive partial least squares algorithms for monitoring complex industrial processes X Wang, U Kruger, B Lennox Control Engineering Practice 11 (6), 613-632, 2003	233	2003
Cooperative control of heterogeneous connected vehicle platoons: An adaptive leader-following approach J Hu, P Bhowmick, F Arvin, A Lanzon, B Lennox IEEE Robotics and Automation Letters 5 (2), 977-984, 2020	226	2020
Process monitoring of an industrial fed‐batch fermentation B Lennox, GA Montague, HG Hiden, G Kornfeld, PR Goulding Biotechnology and bioengineering 74 (2), 125-135, 2001	222	2001
Mona: an affordable open-source mobile robot for education and research F Arvin, J Espinosa, B Bird, A West, S Watson, B Lennox Journal of Intelligent & Robotic Systems 94, 761-775, 2019	180	2019
Fixed-time formation control of multirobot systems: Design and experiments C Wang, H Tnunay, Z Zuo, B Lennox, Z Ding IEEE Transactions on Industrial Electronics 66 (8), 6292-6301, 2018	178	2018
The development of an adaptive threshold for model-based fault detection of a nonlinear electro-hydraulic system Z Shi, F Gu, B Lennox, AD Ball Control Engineering Practice 13 (11), 1357-1367, 2005	160	2005
Industrial application of neural networks—an investigation B Lennox, GA Montague, AM Frith, C Gent, V Bevan Journal of Process Control 11 (5), 497-507, 2001	155	2001
Monitoring a complex refining process using multivariate statistics A AlGhazzawi, B Lennox Control Engineering Practice 16 (3), 294-307, 2008	145	2008
Model predictive control of an activated sludge process: A case study M O’Brien, J Mack, B Lennox, D Lovett, A Wall Control Engineering Practice 19 (1), 54-61, 2011	142	2011
Design and experimental validation of deep reinforcement learning-based fast trajectory planning and control for mobile robot in unknown environment R Chai, H Niu, J Carrasco, F Arvin, H Yin, B Lennox IEEE Transactions on Neural Networks and Learning Systems 35 (4), 5778-5792, 2022	140	2022
Fault-tolerant cooperative navigation of networked UAV swarms for forest fire monitoring J Hu, H Niu, J Carrasco, B Lennox, F Arvin Aerospace Science and Technology 123, 107494, 2022	132	2022
The development of an industrial-scale fed-batch fermentation simulation S Goldrick, A Ştefan, D Lovett, G Montague, B Lennox Journal of biotechnology 193, 70-82, 2015	119	2015
Integrated condition monitoring and control of fed-batch fermentation processes H Zhang, B Lennox Journal of Process Control 14 (1), 41-50, 2004	110	2004
A float-encoded genetic algorithm technique for integrated optimization of piezoelectric actuator and sensor placement and feedback gains H Zhang, B Lennox, PR Goulding, AYT Leung Smart Materials and Structures 9 (4), 552, 2000	105	2000
Model predictive control monitoring using multivariate statistics A AlGhazzawi, B Lennox Journal of Process Control 19 (2), 314-327, 2009	101	2009
A robot to monitor nuclear facilities: Using autonomous radiation-monitoring assistance to reduce risk and cost B Bird, A Griffiths, H Martin, E Codres, J Jones, A Stancu, B Lennox, ... IEEE Robotics & Automation Magazine 26 (1), 35-43, 2018	94*	2018
The electrospinning process, conditions and control B Robb, B Lennox Electrospinning for tissue regeneration, 51-66, 2011	94	2011

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