2019
DOI: 10.1109/tiv.2019.2904418
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String Stable Model Predictive Cooperative Adaptive Cruise Control for Heterogeneous Platoons

Abstract: published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of … Show more

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Cited by 71 publications
(43 citation statements)
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“…• Dynamics estimation results faster than other estimation/identification processes in the literature [17]. • Experimental results belong to the very first heterogeneous CACC algorithm results in the literature together with [28]. The paper is structured as follows.…”
Section: Introductionmentioning
confidence: 99%
“…• Dynamics estimation results faster than other estimation/identification processes in the literature [17]. • Experimental results belong to the very first heterogeneous CACC algorithm results in the literature together with [28]. The paper is structured as follows.…”
Section: Introductionmentioning
confidence: 99%
“…However, this cannot be met by using the traditional MPC with onlinecomputed nonlinear control policy [6][7][8]. The exceptions are [9][10][11]. The traditional MPC also lacks robustness against disturbance and uncertainty in the platoon.…”
Section: Introductionmentioning
confidence: 99%
“…In order to prove string stability, a performance metric is needed to quantify it. The metrics used in the literature include H ∞ -norm stability [9,11,12], p -norm stability [10,13], input-to-output stability [14], and input-to-state stability [15]. Compared with other metrics, input-to-state string stability is more generic and convenient for both theoretical analysis [15] and implementation [16].…”
Section: Introductionmentioning
confidence: 99%
“…With the information exchange among vehicles in the group by vehicle-to-anything (V2X) communication [1], CACC systems can improve traffic flow stability, throughput, driving safety and ride comfort of vehicles [2,3]. CACC technology is now shown to be one of the promising intelligent transportation system technologies [2][3][4][5][6][7][8][9].…”
Section: Introductionmentioning
confidence: 99%
“…This property can effectively avoid a halt or collision at the end of a platoon [10,11]. Various CACC methods have been proposed to derive the (string) stability of vehicle platoons (e.g., see [5][6][7][8][9][12][13][14][15][16][17][18] and the references therein).…”
Section: Introductionmentioning
confidence: 99%