Tulga Ersal

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  • Tulga Ersal, Hosam K Fathy, Loucas S Louca, D Geoff Rideout, Jeffrey L Stein
  • 2007
A dynamic system model is proper for a particular application if it achieves the accuracy required by the application with minimal complexity. Because model complexity often – but not always – correlates inversely with simulation speed, a proper model is often alternatively defined as one balancing accuracy and speed. Such balancing is crucial for(More)
The modular modeling paradigm facilitates the efficient building, verification and handling of complex system models by assembling them from general-purpose component models. A drawback of this paradigm, however, is that the assembled system models may have excessively complex structures for certain purposes due to the amount of detail of the component(More)
Biofeedback of body motion can serve as a balance aid and rehabilitation tool. To date, mathematical models considering the integration of biofeedback into postural control have represented this integration as a sensory addition and limited their application to a single degree-of-freedom representation of the body. This study has two objectives: 1) to(More)
Health management of Li-ion batteries depends on knowledge of certain battery internal dynamics (e.g., lithium consumption and film growth at the solid-electrolyte interface) whose inputs and outputs are not directly measurable with noninva-sive methods. This presents a problem of identification of inaccessible subsystems. To address this problem, we apply(More)
  • Tulga Ersal, Mark Brudnak, Ashwin Salvi, Jeffrey L Stein, Zoran Filipi, Hosam K Fathy +1 other
  • 2011
Keywords: Real-time hardware-in-the-loop simulation Internet-distributed simulation Transparency a b s t r a c t This paper summarizes efforts to integrate, for the first time, two geographically dispersed hardware-in-the-loop simulation setups over the Internet in an observer-free way for an automotive application. The two setups are the engine-in-the-loop(More)
  • Tulga Ersal, Mark Brudnak, Ashwin Salvi, Jeffrey L Stein, Zoran Filipi, Hosam K Fathy
  • 2009
This paper summarizes efforts to integrate, for the first time, two geographically-dispersed hardware-in-the-loop simulation setups over the Internet in an observer-free way. The two setups are the engine-in-the-loop simulation setup at the University of Michigan (UM) in Ann Arbor, MI, USA, and the driver-in-the-loop ride motion simulator at the US Army(More)
Health management of Li-ion batteries requires knowledge of certain battery internal dynamics (e.g., lithium consumption and film growth at the solid-electrolyte interface) whose inputs and outputs are not directly measurable with noninvasive methods. Therefore, identification of those dynamics can be classified as an inaccessible subsystem identification(More)