By T. Zheng
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Of the IEEE Int. Symp. On Vehicular Power and Propulsion, Paris, France. Husain, I. (2003). Electric and Hybrid Vehicles: Design Fundamentals, 1st edn, CRC Press. B. J. (2000). HEV control strategy for real-time optimization of fuel economy and emissions, In Proc. of the Future Car Congress, Washington DC, USA. Kaszynski, M. & Sawodny, O. (2008). Modeling and identiﬁcation of a built-in turbocharged diesel engine using standardized on-board measurement signals, Proc. of IEEE International Conference on Control Applications (CCA 2008), pp.
In the multi-agent context, the agents are the controllers and the non linear system is the environment. Fig. 1. Architecture of Multi-agent Controller The basic structure of the control strategy proposed is shown in figure 2. The control problem to solve should be decomposed into supposedly independent subproblems. Each subproblem is solved by designing a controller-agent. The controller-agent is realized by some control algorithm that is operational only under particular operating conditions of the plant being controlled.
Qin, S. A Input-output linearizing control of constrained nonlinear process, Journal of Process Control, 7(1) 3-17(1997). Nelles O , Predictive control based on local linear fuzzy models, International Journal of system Science, 29 679-697(1998). , and Henk B.. Effective Optimization for Fuzzy Model Predictive Control . IEEE Transactions on fuzzy systems, Vol. 12, No. R and Abotto M and Szeifert F and Nagy L. (2000) Kanev, S and Vergaegen, M. “Controller e-configuration for non-linear systems”, Control Engineering Practice, Vol.
Advanced Model Predictive Control by T. Zheng