Jing Sun | University of Illinois at Chicago (original) (raw)

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Papers by Jing Sun

Research paper thumbnail of Load governor for fuel cell oxygen starvation protection: a robust nonlinear reference governor approach

IEEE Transactions on Control Systems Technology, 2005

Research paper thumbnail of Optimization of complex powertrain systems for fuel economy and emissions

Stringent emission regulations combined with customer demands for improved fuel economy and perfo... more Stringent emission regulations combined with customer demands for improved fuel economy and performance have forced the automotive industry to consider more advanced powertrain configurations than standard port-fuel injected gasoline engines. Modern state-of-the-art powertrain systems may combine several power sources (internal combustion engines, electric motors, fuel cells, etc.) and various exhaust aftertreatment devices (catalytic converters, lean NOx traps, particulate filters, etc.) in addition to conventional engine subsystems such as turbochargers and exhaust gas recirculation. The determination of the way in which these systems need to be operated to meet driver's torque demand, performance and fuel economy expectations while satisfying federal emission regulations is a complex and a multiobjective optimal control problem. This paper reviews some of the approaches to this problem in the context of two case studies

Research paper thumbnail of Optimal hybrid control with applications to automotive powertrain systems

In this paper, the problem of optimal control for a class of hybrid systems is investigated. The ... more In this paper, the problem of optimal control for a class of hybrid systems is investigated. The class of hybrid systems is characterized by discrete-time state space models where control inputs include both analog control variables and discrete actions. The problem is strongly ...

Research paper thumbnail of Load governor for fuel cell oxygen starvation protection: a robust nonlinear reference governor approach

IEEE Transactions on Control Systems Technology, 2005

Research paper thumbnail of Optimization of complex powertrain systems for fuel economy and emissions

Stringent emission regulations combined with customer demands for improved fuel economy and perfo... more Stringent emission regulations combined with customer demands for improved fuel economy and performance have forced the automotive industry to consider more advanced powertrain configurations than standard port-fuel injected gasoline engines. Modern state-of-the-art powertrain systems may combine several power sources (internal combustion engines, electric motors, fuel cells, etc.) and various exhaust aftertreatment devices (catalytic converters, lean NOx traps, particulate filters, etc.) in addition to conventional engine subsystems such as turbochargers and exhaust gas recirculation. The determination of the way in which these systems need to be operated to meet driver's torque demand, performance and fuel economy expectations while satisfying federal emission regulations is a complex and a multiobjective optimal control problem. This paper reviews some of the approaches to this problem in the context of two case studies

Research paper thumbnail of Optimal hybrid control with applications to automotive powertrain systems

In this paper, the problem of optimal control for a class of hybrid systems is investigated. The ... more In this paper, the problem of optimal control for a class of hybrid systems is investigated. The class of hybrid systems is characterized by discrete-time state space models where control inputs include both analog control variables and discrete actions. The problem is strongly ...

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