By T. Zheng
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Extra resources for Advanced Model Predictive Control
Active set vs. interior point strategies for model predictive control, Proc. , Vol. 6, pp. 4229-4233. C. & Rizzoni, G. (2000). Mechatronic design and control of hybrid electric vehicles, IEEE/ASME Trans. On Mechatronics, 5(1): 58-72. ; Frasca, R. ; . (2007). Explicit Hybrid Model Predictive Control of the dc-dc Boost Converter, IEEE Power Electronics Specialists Conference, PESC 2007, Orlando, Florida, USA, pp. 2503-2509 Bemporad, A. (2004). Hybrid Toolbox - User’s Guide. ; Morari, M; Dua, V. N.
Ul ( k ) − f moy ) ul ( k ) = f moy + f amp tanh( f amp − f min f f moy = max 2 f max + f min f amp = 2 f max = min(ul max , ul ( k − 1) + Δul max ) f = max(ul min , ul ( k − 1) + Δul min ) min (23) The optimum control law (22) for each agent does not guarantee the global optimum. Accordingly to that, nonlinear system requires coordination among the control agent’s action. The required coordination is done by a logic switch added to supervisory loop based neural networks which compute the global optimum control subject to constraints.
2010). Automotive Model Predictive Control: Models, Methods and Applications, 1st edn, Springer. ; Mahtani, J. & Burnham, K. (2008). Hybrid electric vehicle energy management using game theory, SAE World Congress & Exhibition, SAE Paper No. 2008-01-1317. Fekri, S. & Assadian, F. (2011). Application of Robust Multivariable Control on Energy Management of Hybrid Electric Vehicles, International Journal of Vehicle Design (IJVD), Special Issue on "Automotive Mechatronics: Innovations in Design, Analysis and Implementation", March 2011, under review.