EconPapers    
Economics at your fingertips  
 

Sampled-Data Nash Equilibria in Differential Games with Impulse Controls

Utsav Sadana, Puduru Viswanadha Reddy (), Tamer Başar () and Georges Zaccour ()
Additional contact information
Puduru Viswanadha Reddy: Indian Institute of Technology Madras
Tamer Başar: University of Illinois at Urbana-Champaign
Georges Zaccour: GERAD and HEC Montréal

Journal of Optimization Theory and Applications, 2021, vol. 190, issue 3, No 13, 999-1022

Abstract: Abstract We study a class of deterministic two-player nonzero-sum differential games where one player uses piecewise-continuous controls to affect the continuously evolving state, while the other player uses impulse controls at certain discrete instants of time to shift the state from one level to another. The state measurements are made at some given instants of time, and players determine their strategies using the last measured state value. We provide necessary and sufficient conditions for the existence of sampled-data Nash equilibrium for a general class of differential games with impulse controls. We specialize our results to a scalar linear-quadratic differential game and show that the equilibrium impulse timing can be obtained by determining a fixed point of a Riccati-like system of differential equations with jumps coupled with a system of nonlinear equality constraints. By reformulating the problem as a constrained nonlinear optimization problem, we compute the equilibrium timing, and level of impulses. We find that the equilibrium piecewise continuous control and impulse control are linear functions of the last measured state value. Using a numerical example, we illustrate our results.

Keywords: Impulse control; Sampled-data; Linear-quadratic models; Differential games; Nash equilibrium; 91A23; 93C57 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s10957-021-01920-0 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:joptap:v:190:y:2021:i:3:d:10.1007_s10957-021-01920-0

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2

DOI: 10.1007/s10957-021-01920-0

Access Statistics for this article

Journal of Optimization Theory and Applications is currently edited by Franco Giannessi and David G. Hull

More articles in Journal of Optimization Theory and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-30
Handle: RePEc:spr:joptap:v:190:y:2021:i:3:d:10.1007_s10957-021-01920-0