By T. Zheng
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Extra info for Advanced Model Predictive Control
Del Re, L. (2005). Optimal energy management for mild hybrid operation of vehicles with an integrated starter generator, In Proc. of the SAE World Congress, Detroit, Michigan. Tate, E. & Boyd, S. (2001). Towards ﬁnding the ultimate limits of performance for hybrid electric vehicles, In Proc. , Costa Mesa, CA. A. & Bemporad, A. (2003). An algorithm for multi-parametric quadratic programming and explicit MPC solutions, Automatica, 39(3): 489-497. D. & Bemporad, A. (2004). Hysdel - a tool for generating computational hybrid models, IEEE Trans.
E. (2002). Regenerative braking system for a hybrid electric vehicle, In Proc. , Anchorage, AK, Vol. 4, pp. 3129-3134. Cundev, D. (2010). Hybrid-electric Cars and Control Systems: Control strategy of car hybrid system and its experimental conﬁrmation, LAP LAMBERT Academic Publishing. ; Bemporad, A. & Filippi, C. (2006). Robust explicit MPC based on approximate multiparametric convex programming, IEEE Transactions on Automatic Control 51: 1399-1403. ; Guardiola, C. & Kolmanovsky, I. ) (2010). Automotive Model Predictive Control: Models, Methods and Applications, 1st edn, Springer.
Based on an analytical solution, which corresponds to the solution of the local receding horizon sub-problems, a logic unit switching tries to find the best sequence of actions sent to the nonlinear system and gives the desired trajectory. Sequences of actions that bring the global system in a desired trajectory are made and avoid any violated constraints on actions. The multi-agent controller consists of synchronizing the output of the true system at every decision step k with the reference trajectory.