Minimum-Time Control Problem with Mixed Constraints

1996 ◽  
Vol 28 (3-4) ◽  
pp. 28-40
Author(s):  
F. L. Chernousko
2020 ◽  
Vol 41 (4) ◽  
pp. 1251-1266
Author(s):  
G. Martalò ◽  
C. Bianchi ◽  
B. Buonomo ◽  
M. Chiappini ◽  
V. Vespri

1970 ◽  
Vol 5 (2) ◽  
pp. 81-96 ◽  
Author(s):  
Herbert R. Weischedel

1963 ◽  
Vol 14 (5) ◽  
pp. 547-562 ◽  
Author(s):  
A. K. CHAUDHUEI

2017 ◽  
Vol 173 (3) ◽  
pp. 967-993 ◽  
Author(s):  
Andrea Cristofaro ◽  
Paolo Salaris ◽  
Lucia Pallottino ◽  
Fabio Giannoni ◽  
Antonio Bicchi

2014 ◽  
Vol 47 (3) ◽  
pp. 2475-2480 ◽  
Author(s):  
A. Polyakov ◽  
J.-P. Richard

1973 ◽  
Vol 9 (2) ◽  
pp. 173-177
Author(s):  
Kunihiko ICHIKAWA ◽  
Kimiko TSUCHIYA

2017 ◽  
Vol 23 (4) ◽  
pp. 1715-1749 ◽  
Author(s):  
Olivier Cots

In this article, the minimum time control problem of an electric vehicle is modeled as a Mayer problem in optimal control, with affine dynamics with respect to the control and with state constraints. The candidates as minimizers are selected among a set of extremals, solutions of a Hamiltonian system given by the maximum principle. An analysis, with the techniques of geometric control, is used first to reduce the set of candidates and then to construct the numerical methods. This leads to a numerical investigation based on indirect methods using the HamPath software. Multiple shooting and homotopy techniques are used to build a synthesis with respect to the bounds of the boundary sets.


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