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A receding horizon optimal control approach to active state and parameter estimation in automotive systems

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2 Author(s)
Ilya V. Kolmanovsky ; Powertrain Research and Advanced Engineering, Ford Motor Company, Dearborn, Michigan, USA ; Vincent Winstead

A receding horizon optimal control approach is proposed to control a system in such a way as to best estimate on-line its states and parameters, without significantly degrading tracking performance or violating pointwise-in-time constraints. Several automotive examples are considered to illustrate the potential of the approach. They include: vehicle mass and road grade estimation, engine wall-wetting parameter estimation, engine mapping, and estimation of the position and velocity of a moving vehicle from angle-only (passive) measurements by another vehicle.

Published in:

2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control

Date of Conference:

4-6 Oct. 2006