2001
DOI: 10.1080/00207170010038703
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Mixed H2/H cruise controller design for high speed train

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Cited by 174 publications
(84 citation statements)
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“…obtain LP-subproblem LP( ); (5) Π ← Π ∪ LP( ) (6) end for (7) if there are no LP( ) ∈ Π that need to be solved then (8) obtain optimal performance index * 0 ; (9) obtain optimal solution vector * ; (10) obtain optimal control input ( ) ← * ; (11) else (12) while num < Maxnum do (13) for each ∈ [ , 1] do (14) extracting LP( ) from Π; (15) if LP( ) has feasible solution then (16) obtain ( ) and ; (17) else (18) if LP( ) satisfies ( ) ∈ {0, 1} and ( ) < * 0 then (19) * 0 ← ( ) and * ← ; (20) num = num + 1;…”
Section: Simulation Scenariomentioning
confidence: 99%
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“…obtain LP-subproblem LP( ); (5) Π ← Π ∪ LP( ) (6) end for (7) if there are no LP( ) ∈ Π that need to be solved then (8) obtain optimal performance index * 0 ; (9) obtain optimal solution vector * ; (10) obtain optimal control input ( ) ← * ; (11) else (12) while num < Maxnum do (13) for each ∈ [ , 1] do (14) extracting LP( ) from Π; (15) if LP( ) has feasible solution then (16) obtain ( ) and ; (17) else (18) if LP( ) satisfies ( ) ∈ {0, 1} and ( ) < * 0 then (19) * 0 ← ( ) and * ← ; (20) num = num + 1;…”
Section: Simulation Scenariomentioning
confidence: 99%
“…Yang and Sun [7,8] analyzed the coupling characteristics among vehicles of high-speed train and established train multipoint dynamical model. For both push-pull driving and distributed driving train types, the hybrid 2 / ∞ automatic train controller was designed and was compared by 2 controller and ∞ controller, respectively.…”
Section: Introductionmentioning
confidence: 99%
“…On this basis some extended work have been presented, like the local to global energy-efficient control strategy with the local steep rail track in [3] and the multi-stage energy-efficient subway control approach for multi-trains [4]. Moreover, a number of advanced control methods had been used for train tacking problem, which can make sure not only the punctuality but also precise train stopping under the train overspeed protection, Linear Quadratic Regulation (LQR) [5], H2/H∞ control [6], robust adaptive control [7], iterative learning control [8]. Besides, in recent five years more and more work [7,9] had been paid attention to safe constraints, which may bring the disasters if ignore them.…”
Section: Introductionmentioning
confidence: 99%
“…All of the methods above, however, are either only considering the optimal speed trajectory planning [1][2][3] or closed-loop tracking problem [5][6][7][8]. Compared with the two-level approach above, an approach combining the calculation of optimization with implementation of tracking control together is more cost effective.…”
Section: Introductionmentioning
confidence: 99%
“…A considerable amount of theoretical and experimental research effort has been aimed at improving cruise control technology, including traditional cruise control (CC) [1], adaptive cruise control (ACC) [2], [3], and cooperative adaptive cruise control (CACC) [4], [5], in the last few decades. As is known, CC systems are simple, and have been used often in conventional vehicles.…”
Section: Introductionmentioning
confidence: 99%