Hybrid Optimal Control under Mode Switching Constraints with Applications to Pesticide Scheduling

2018 ◽  
Vol 2 (1) ◽  
pp. 1-17 ◽  
Author(s):  
Usman Ali ◽  
Magnus Egerstedt
Author(s):  
Brian Moerdyk ◽  
Ray DeCarlo ◽  
Douglas Birdwell ◽  
Milov Zefran ◽  
John Chiasson

2011 ◽  
Vol 44 (1) ◽  
pp. 7238-7243 ◽  
Author(s):  
Maryam Kamgarpour ◽  
Manuel Soler ◽  
Claire J. Tomlin ◽  
Alberto Olivares ◽  
John Lygeros

Author(s):  
Runqi Chai ◽  
Al Savvaris ◽  
Antonios Tsourdos ◽  
Senchun Chai ◽  
Yuanqing Xia

2018 ◽  
Vol 24 (3) ◽  
pp. 965-983 ◽  
Author(s):  
Roberto Ferretti ◽  
Achille Sassi

The mathematical framework of hybrid system is a recent and general tool to treat control systems involving control action of heterogeneous nature. In this paper, we construct and test a semi-Lagrangian numerical scheme for solving the Dynamic Programming equation of an infinite horizon optimal control problem for hybrid systems. In order to speed up convergence, we also propose and analyze an acceleration technique based on policy iteration. Finally, we validate the approach via some numerical tests in low dimension.


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