Abstract
AbstractIn this paper, the intelligent traffic management within a smart city environment is addressed by developing an ad-hoc model predictive control strategy based on an event-driven formulation. To this end, a constrained hybrid system description is considered for safety verification purposes and a low-demanding receding horizon controller is then derived by exploiting set-theoretic arguments. Simulations are performed on the train-gate benchmark system to show the effectiveness and benefits of the proposed methodology.
Funder
Università della Calabria
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Modeling and Simulation,Control and Systems Engineering
Reference51 articles.
1. Alur R, Courcoubetis C, Halbwachs N, Henzinger T A, Ho P-H, Nicollin X, Olivero A, Sifakis J, Yovine S (1995) The algorithmic analysis of hybrid systems. Theor Comput Sci 138(1):3–34
2. Angeli D, Casavola A, Franzè G, Mosca E (2008) An ellipsoidal off-line mpc scheme for uncertain polytopic discrete-time systems. Automatica 44 (12):3113–3119
3. Antsaklis P J (2000) A brief introduction to the theory and applications of hybrid systems. In: Proceedings of IEEE, Special Issue on Hybrid Systems: Theory and Applications. Citeseer
4. Axehill D, Besselmann T, Raimondo D M, Morari M (2014) A parametric branch and bound approach to suboptimal explicit hybrid mpc. Automatica 50(1):240–246
5. Balluchi A, Benvenuti L, Di Benedetto M D, Pinello C, Sangiovanni-Vincentelli A L (2000) Automotive engine control and hybrid systems: Challenges and opportunities. Proc IEEE 88(7):888–912
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