D
Dezong Zhao
Researcher at Loughborough University
Publications - 73
Citations - 921
Dezong Zhao is an academic researcher from Loughborough University. The author has contributed to research in topics: Computer science & Turbocharger. The author has an hindex of 12, co-authored 51 publications receiving 516 citations. Previous affiliations of Dezong Zhao include Munich University of Applied Sciences & Tsinghua University.
Papers
More filters
Journal ArticleDOI
A Game-Based Computation Offloading Method in Vehicular Multiaccess Edge Computing Networks
TL;DR: A multiuser noncooperative computation offloading game to adjust the offloading probability of each vehicle in vehicular MEC networks and design the payoff function considering the distance between the vehicle and MEC access point, application and communication model, and multivehicle competition for MEC resources is proposed.
Journal ArticleDOI
Real-Time Energy Management for Diesel Heavy Duty Hybrid Electric Vehicles
TL;DR: Compared with the telemetry equivalent consumption minimization strategy, the proposed F-ECMS shows better performance in the sustainability of battery SOC under driving conditions with the rapid dynamics often associated with off-road applications.
Journal ArticleDOI
An Explicit Model Predictive Control Framework for Turbocharged Diesel Engines
TL;DR: This paper addresses the exhaust emission regulation in turbocharged diesel engines using an explicit model predictive control approach, which allows tracking of the time-varying setpoint values generated by the supervisory level controller while satisfying the actuator constraints.
Journal ArticleDOI
Speed synchronisation of multiple induction motors with adjacent cross-coupling control
Dezong Zhao,Chunwen Li,Jun Ren +2 more
TL;DR: In this paper, a new control approach for real-time speed synchronisation of multiple induction motors during speed acceleration and load changes is developed, which stabilizes speed tracking of each motor while synchronising its motion with other motors' motions so that differential speed errors among multiple motors converge to zero.
Journal ArticleDOI
Knowledge Implementation and Transfer With an Adaptive Learning Network for Real-Time Power Management of the Plug-in Hybrid Vehicle.
TL;DR: In this article, a new adaptive learning network that incorporates a deep deterministic policy gradient (DDPG) network with an adaptive neuro-fuzzy inference system (ANFIS) network is proposed.