A receding horizon event-driven control strategy for intelligent traffic management
| Autor: | Domenico Famularo, Walter Lucia, Giuseppe Franze |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
050210 logistics & transportation
0209 industrial biotechnology Horizon (archaeology) Event (computing) Computer science 05 social sciences Control (management) Control engineering 02 engineering and technology Model predictive control 020901 industrial engineering & automation Control and Systems Engineering Control theory Modeling and Simulation Smart city Hybrid system 0502 economics and business Benchmark (computing) Electrical and Electronic Engineering |
| Zdroj: | Discrete Event Dynamic Systems. 31:469-488 |
| ISSN: | 1573-7594 0924-6703 |
| DOI: | 10.1007/s10626-020-00337-7 |
| Popis: | In 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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