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This paper proposes an adaptive fault tolerant control allocation approach for over-actuated systems. The methodology does not utilize the control input matrix estimation to tolerate actuator faults and, therefore, the proposed control allocation method does not require persistence of excitation. Adaptive control approach with a closed loop reference model is used for identifying control allocation...
This paper describes simple and suitable for real-time implementation algorithms for on-board learning of Markov Chain models of driving conditions (e.g., driver wheel torque request, vehicle speed, surrounding traffic speed, road grade, road curvature etc.). The use of Kullback-Liebler (KL) divergence is proposed as a stopping and re-initialization criterion for learning, permitting an evolving set...
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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