Tulga Ersal

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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)
  • 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)
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)
  • 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)
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
  • 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)