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		题名	作者	年代	出处	被引量
	1	Model Predictive Control for Discrete and Continuous Timed Petri Nets显示文摘The goal of this paper is to propose a unique control method that permits the evolution of both timed continuous Petri net(TCPN) and T-timed discrete Petri net(T-TDPN) from an initial state to a desired one. Model predictive control(MPC) is a robust control scheme against perturbation and a consistent real-time constraints method. Hence, the proposed approach is studied using the MPC. However, the computational complexity may prevent the use of the MPC for large systems and for large prediction horizons. Then, the proposed approach provides some new techniques in order to reduce the high computational complexity; among them one is taking constant control actions during the prediction.	Marwa Taleb Edouard Leclercq Dimitri Lefebvre	2018	International Journal of Automation and computing2018，15，1：	1
	2	A Systematic Design of Emulators for Multivariable Non Square and Nonlinear Systems显示文摘In this paper, multimodel and neural emulators are proposed for uncoupled multivariable nonlinear plants with unknown dynamics. The contributions of this paper are to extend the emulators to multivariable non square systems and to propose a systematic method to compute the multimodel synthesis parameters. The effectiveness of the proposed emulators is shown through two simulation examples. The obtained results are very satisfactory, they illustrate the performance of both emulators and show the advantages of the multimodel emulator relatively to the neural one.	Nesrine Bahri Asma Atig Ridha Ben Abdennour Fabrice Druaux Dimitri Lefebvre	2017	International Journal of Automation and computing2017，14，6：	0

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