Areas of expertise
- Autonomous Systems
- Computing, Simulation & Modelling
- Electric and Hybrid Vehicles
- Instrumentation, Sensors and Measurement Science
- Mechatronics & Advanced Controls
- On-Road Vehicle Dynamics
- Systems Engineering
Background
Dr Stefano Longo (MSc, PhD, SMIEEE, MIET, CEng, FHEA) received his MSc in Control Systems from the Department of Automatic Control and System Engineering at the University of Sheffield in 2007 and completed his PhD in Control Systems in the Department of Mechanical Engineering at the University of Bristol in 2011. His PhD thesis was awarded the prestigious Institution of Engineering and Technology (IET) Control and Automation Prize for significant achievements in the area of control engineering.
In November 2010, he was appointed for the position of Research Associate in the Department of Electrical and Electronic Engineering at Imperial College London, where he worked in the intersection of the Control & Power, and Circuit & Systems Research Groups. He kept the position as Honorary Research Associate until 2016. He was appointed lecturer (Assistant Professor) at Cranfield University in 2012, promoted to Senior Lecturer in 2017, and to Reader (Associate Professor) in 2020.
His work and his research interests gravitate around the problem of designing and implementing advanced control and estimation algorithms in hardware, where the algorithm design and the hardware implementation are not seen as two separate and decoupled problems, but as a single interconnected one. These ideas have been applied to networked control systems (whilst at the University of Bristol), to parallelisable hardware for constrained optimal control and real-time optimisation (whilst at Imperial College London) and, more recently, to alternative powertrain and chassis control.
Since 2019, Dr Longo has taken the position of Head of Automotive at Embotech AG, an ETH spin-off company specialising in embedded optimisation with applications to autonoous driving.
Current activities
Dr Longo's main activities are research, teaching and consultancy.
Research
Dr Longo's research focuses on the area of optimisation-based control algorithm development and their implementation on embedded hardware. His international reputation builds on the publication of over 80 research papers in international journals and conferences.
He is the first author of the book 'Optimal and Robust Scheduling for Networked Control Systems(external)'. The book is based on his doctoral research work that was awarded the Institution of Engineering and Technology (IET) Control and Automation Prize for significant achievements in the area of control engineering.
He has co-authored the 3rd Edition of the best-selling book "Modern Electric, Hybrid, and Fuel Cell Vehicles".
As part of his activities, he is also involved in the organisation of international scientific meetings and he is a technical editor and reviewer for major journal and conferences (such as the ones owned by the IEEE and Elsevier).
Teaching
Until 2019, Dr Longo was the Course Director for the MSc in Automotive Mechatronics and MSc in Advanced Motorsport Mechatronics, where he still teaches the modules 'Mechatronics Modelling for Vehicle Systems', 'Embedded Vehicle Control Systems' and contributes to the modules 'Advanced Control and Optimisation', 'Vehicle Electrification and Hybridisation' and 'Applications of Vehicle Control.'
Consultancy
Dr Longo's funding mainly comes for EPSRC and Innovate UK, as his research is fundamental as well as applied. He has also received funding from Jaguar Land Rover, Arrival and other engineering companies for projects related to vehicle localisation, powertrain control, thermal management systems and hardware-in-the-loop testing. His test rigs are located in the Mechatronics Laboratory and are available for research, teaching and consultancy.
Clients
- Nissan Motor Co. Ltd
- Innovate UK
- Engineering and Physical Sciences Research Council
Publications
Articles In Journals
- Lin C, Li B, Siampis E, Longo S & Velenis E. (2024). Predictive path-tracking control of an autonomous electric vehicle with various multi-actuation topologies. Sensors, 24(5)
- Abdullahi I, Longo S & Samie M. (2024). Towards a distributed digital twin framework for predictive maintenance in Industrial Internet of Things (IIoT). Sensors, 24(8)
- Li B, Lin C, Ahmadi J, Siampis E, Longo S, .... (2023). An integrated path-tracking and control allocation method for autonomous racing electric vehicles. Vehicle System Dynamics, 62(6)
- Papaioannou G, Htike Z, Lin C, Siampis E, Longo S, .... (2022). Multi-criteria evaluation for sorting motion planner alternatives. Sensors, 22(14)
- Stryszowski M, Longo S, Velenis E & Forostovsky G. (2021). A Framework for Self-Enforced Interaction Between Connected Vehicles: Intersection Negotiation. IEEE Transactions on Intelligent Transportation Systems, 22(11)
- Htike Z, Papaioannou G, Siampis E, Velenis E & Longo S. (2021). Fundamentals of motion planning for mitigating motion sickness in automated vehicles. IEEE Transactions on Vehicular Technology, 71(3)
- Stryszowski M, Longo S, D'Alessandro D, Velenis E, Forostovsky G, .... (2020). A framework for self-enforced optimal interaction between connected vehicles. IEEE Transactions on Intelligent Transportation Systems, 22(10)
- Propp K, Auger DJ, Fotouhi A, Marinescu M, Knap V, .... (2019). Improved state of charge estimation for lithium-sulfur batteries. Journal of Energy Storage, 26
- Morganti MV, Longo S, Tirovic M, Blaise CY & Forostovsky G. (2019). Multi-scale, electro-thermal model of NMC battery cell. IEEE Transactions on Vehicular Technology, 68(11)
- Siampis E, Velenis E, Gariuolo S & Longo S. (2018). A real-time nonlinear model predictive control strategy for stabilisation of an electric vehicle at the limits of handling. IEEE Transactions on Control Systems Technology, 26(6)
- Fotouhi A, Propp K, Samaranayake L, Auger DJ & Longo S. (2018). A hardware-in-the-loop test rig for development of electric vehicle battery identification and state estimation algorithms. International Journal of Powertrains, 7(1/2/3)
- Fotouhi A, Auger DJ, Propp K & Longo S. (2017). Lithium-sulfur battery state-of-charge observability analysis and estimation. IEEE Transactions on Power Electronics, 33(7)
- Samaranayake L & Longo S. (2017). Degradation control for electric vehicle machines using nonlinear model predictive control. IEEE Transactions on Control Systems Technology, 26(1)
- Fotouhi A, Auger DJ, Propp K, Longo S, Purkayastha R, .... (2017). Lithium-sulfur cell equivalent circuit network model parameterization and sensitivity analysis. IEEE Transactions on Vehicular Technology, 66(9)
- Propp K, Auger DJ, Fotouhi A, Longo S & Knap V. (2017). Kalman-variant estimators for state of charge in lithium-sulfur batteries. Journal of Power Sources, 343
- Basrah MS, Siampis E, Velenis E, Cao D & Longo S. (2017). Wheel slip control with torque blending using linear and nonlinear model predictive control. Vehicle System Dynamics, 55(11)
- Tavernini D, Velenis E & Longo S. (2017). Feedback brake distribution control for minimum pitch. Vehicle System Dynamics, 55(6)
- Fotouhi A, Auger DJ, Propp K & Longo S. (2016). Accuracy versus simplicity in online battery model identification. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 48(2)
- Propp K, Marinescu M, Auger DJ, O'Neill L, Fotouhi A, .... (2016). Multi-temperature state-dependent equivalent circuit discharge model for lithium-sulfur batteries. Journal of Power Sources, 328
- Abir J, Longo S, Morantz P & Shore P. (2016). Virtual metrology frame technique for improving dynamic performance of a small size machine tool. Precision Engineering, 48
- Abir J, Longo S, Morantz P & Shore P. (2016). Optimized estimator for real-time dynamic displacement measurement using accelerometers. Mechatronics, 39
- Suardi A, Longo S, Kerrigan EC & Constantinides GA. (2016). Explicit MPC: Hard constraint satisfaction under low precision arithmetic. Control Engineering Practice, 47
- Fotouhi A, Auger DJ, Propp K, Longo S & Wild M. (2015). A review on electric vehicle battery modelling: from lithium-ion toward lithium–sulphur. Renewable and Sustainable Energy Reviews, 56
- Siampis E, Velenis E & Longo S. (2015). Rear wheel torque vectoring model predictive control with velocity regulation for electric vehicles. Vehicle System Dynamics, 53(11)
- Liu Y, Van Schijndel J, Longo S & Kerrigan EC. (2015). UAV energy extraction with incomplete atmospheric data using MPC. IEEE Transactions on Aerospace and Electronic Systems, 51(2)
- Longo S. (2015). Sensors-Models Trade-Offs in Battery State Estimation. Engineering & Technology Reference
- Papazoglou A, Longo S, Auger D & Assadian F. (2014). Nonlinear Filtering Techniques Comparison for Battery State Estimation. Journal of Sustainable Development of Energy, Water and Environment Systems, 2(3)
- Longo S, Auger DJ & Assadian F. (2014). Mechatronics in Sustainable Mobility: Two Electric Vehicle Applications. The Journal of Sustainable Mobility, 1(1)
- Longo S, Kerrigan EC & Constantinides GA. (2014). Constrained LQR for low-precision data representation. Automatica, 50(1)
- J. Auger D, F. Groff M, Mohan G, Longo S & Assadian F. (2014). Impact of Battery Ageing on an Electric Vehicle Powertrain Optimisation. Journal of Sustainable Development of Energy, Water and Environment Systems, 2(4)
- Mohan G, Assadian F & Longo S. (2013). An Optimization Framework for Comparative Analysis of Multiple Vehicle Powertrains. Energies, 6(10)
- Longo S, Herrmann G & Barber P. (2012). Robust Scheduling of Sampled-Data Networked Control Systems. IEEE Transactions on Control Systems Technology, 20(6)
- Lee D, Longo S & Kerrigan EC. (2012). Predictive control for soaring of unpowered autonomous UAVs. IFAC Proceedings Volumes, 45(17)
- Su T, Longo S, Herrmann G & Barber P. (2012). Computation of an optimal communication schedule in a nonlinear networked control system using sum-of-squares. Systems & Control Letters, 61(3)
- Kerrigan EC, Jerez JL, Longo S & Constantinides GA. (2012). Number representation in predictive control. IFAC Proceedings Volumes, 45(17)
- Longo S, Kerrigan EC, Ling KV & Constantinides GA. (2011). A parallel formulation for predictive control with nonuniform hold constraints. Annual Reviews in Control, 35(2)
- Longo S, Herrmann G & Barber P. (2010). Stabilisability and detectability in networked control. IET Control Theory & Applications, 4(9)
- Longo S, Herrmann G & Barber P. (2009). Controllability, observability in networked control. IFAC Proceedings Volumes, 42(6)
- Longo S, Herrmann G & Barber P. (2009). Optimization approaches for controller and schedule codesign in networked control. IFAC Proceedings Volumes, 42(6)
