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This paper develops a set-membership estimation algorithm for identification of time-varying parameters in linear models, where both additive and multiplicative uncertainties are considered explicitly. We show that a recursive algorithm we develop is capable of providing tight overbounds on the feasible solution set. Examples are considered to demonstrate the utility and effectiveness of the algorithm,...
Condition monitoring and condition-based maintenance can reduce maintenance costs and improve operation safety of vehicles across the full spectrum of transportation domain, including automotive, rail, air and marine applications. In this paper, a set-membership condition monitoring framework is proposed to detect aging and health degradation for dual fuel engines based on simultaneous input and parameter...
This paper reports the development of vehicle fuel flow estimation algorithms based entirely on signals available through the standard OBD-II interface. The paper also illustrates the use of the resulting fuel flow estimates for adaptation and optimization. The fuel flow estimation algorithm functionality differs depending on the powertrain type (gasoline versus diesel, naturally aspirated versus...
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