This paper obtains a maximum principle for switching diffusions with mean-field interactions. The motivation stems from a wide range of applications for networked control systems in which large-scale systems are encountered and mean-field interactions are involved. Because of the complexity due to the switching, little has been done for the associate control problems with mean-field interactions. The main ingredient of this work is the use of conditional mean-fields, which is distinct from the existing literature. Using the maximum principle, optimal controls of linear quadratic Gaussian controls with mean-field interactions for switching diffusions are carried out. Numerical examples are also provided for demonstration.
Accepté le :
Première publication :
Publié le :
DOI : 10.1051/cocv/2019055
Mots-clés : Maximum principle, mean-field interaction, switching diffusion
@article{COCV_2020__26_1_A69_0, author = {Nguyen, Son L. and Nguyen, Dung T. and Yin, George}, title = {A stochastic maximum principle for switching diffusions using conditional mean-fields with applications to control problems}, journal = {ESAIM: Control, Optimisation and Calculus of Variations}, publisher = {EDP-Sciences}, volume = {26}, year = {2020}, doi = {10.1051/cocv/2019055}, mrnumber = {4151428}, zbl = {1460.60082}, language = {en}, url = {http://archive.numdam.org/articles/10.1051/cocv/2019055/} }
TY - JOUR AU - Nguyen, Son L. AU - Nguyen, Dung T. AU - Yin, George TI - A stochastic maximum principle for switching diffusions using conditional mean-fields with applications to control problems JO - ESAIM: Control, Optimisation and Calculus of Variations PY - 2020 VL - 26 PB - EDP-Sciences UR - http://archive.numdam.org/articles/10.1051/cocv/2019055/ DO - 10.1051/cocv/2019055 LA - en ID - COCV_2020__26_1_A69_0 ER -
%0 Journal Article %A Nguyen, Son L. %A Nguyen, Dung T. %A Yin, George %T A stochastic maximum principle for switching diffusions using conditional mean-fields with applications to control problems %J ESAIM: Control, Optimisation and Calculus of Variations %D 2020 %V 26 %I EDP-Sciences %U http://archive.numdam.org/articles/10.1051/cocv/2019055/ %R 10.1051/cocv/2019055 %G en %F COCV_2020__26_1_A69_0
Nguyen, Son L.; Nguyen, Dung T.; Yin, George. A stochastic maximum principle for switching diffusions using conditional mean-fields with applications to control problems. ESAIM: Control, Optimisation and Calculus of Variations, Tome 26 (2020), article no. 69. doi : 10.1051/cocv/2019055. http://archive.numdam.org/articles/10.1051/cocv/2019055/
[1] A maximum principle for SDEs of mean-field type. Appl. Math. Optim. 63 (2011) 341–356. | DOI | MR | Zbl
and ,[2] Real options with competition and regime switching. Math. Finance 27 (2017) 224–250. | DOI | MR | Zbl
, , and ,[3] The Vlasov dynamics and its fluctuations in the 1/n limit of interacting classical particles. Commun. Math. Phys. 56 (1977) 101–113. | DOI | MR | Zbl
and ,[4] A mean-field stochastic control problem with partial observations. Ann. Appl. Probab. 27 (2017) 3201–3245. | DOI | MR | Zbl
, and ,[5] A probabilistic approach to mean field games with major and minor players. Ann. Appl. Probab. 26 (2016) 1535–1580. | DOI | MR | Zbl
and ,[6] Critical dynamics and fluctuations for a mean-field model of cooperative behavior. J. Stat. Phys. 31 (1983) 29–85. | DOI | MR
,[7] Large deviations from the McKean-Vlasov limit for weakly interacting diffusions. Stochastics 20 (1987) 247–308. | DOI | MR | Zbl
and ,[8] A Hilbertian approach for fluctuations on the McKean-Vlasov model. Stoch. Process Appl. 71 (1997) 33–53. | DOI | MR | Zbl
and ,[9] On the McKean-Vlasov limit for interacting diffusions. Math. Nachr. 137 (1988) 197–248. | DOI | MR | Zbl
,[10] Tracking a Markov-modulated stationary degree distribution of a dynamic random graph, IEEE Trans. Inf. Theory 60 (2014) 6609–6625. | DOI | MR | Zbl
, and ,[11] Mean field games for stochastic growth with relative utility. Appl. Math. Optim. 74 (2016) 643–668. | DOI | MR | Zbl
and ,[12] Individual and mass behavior in large population stochastic wireless power control problems: centralized and Nash equilibrium solutions. Proc. of 42nd IEEE CDC (2003) 98–103.
, and ,[13] Large population stochastic dynamic games: Closed-loop McKean-Vlasov systems and the Nash certainty equivalence principle. Commun. Inf. Syst. 6 (2006) 221–252. | DOI | MR | Zbl
, and ,[14] Social optima in mean field LQG control: centralized and decentralized strategies. IEEE Trans. Automat. Control 57 (2012) 1736–1751. | DOI | MR | Zbl
, and ,[15] Limit Theorems for Stochastic Processes, 2nd edn. Springer Science & Business Media, Berlin (2013). | Zbl
and ,[16] On the mean field games with common noise and the McKean-Vlasov SPDEs. Preprint (2015). | arXiv | MR
and ,[17] Jeux à champ moyen. I. Le cas stationnaire. C. R. Math. Acad. Sci. Paris 343 (2006) 619–625. | DOI | MR | Zbl
and ,[18] Stochastic maximum principle in the mean-field controls. Automatica 48 (2012) 366–373. | DOI | MR | Zbl
,[19] Weak necessary and sufficient stochastic maximum principle for Markovian regime-switching diffusion models. Appl. Math. Optim. 71 (2015) 39–77. | DOI | MR | Zbl
and ,[20] Theory of Martingales. Kluwer Academic Publishers Group, Dordrecht (1989) | DOI | MR | Zbl
and ,[21] Stochastic Differential Equations with Markovian Switching. Imperial College Press, London (2006). | DOI | MR | Zbl
and ,[22] A class of Markov processes associated with nonlinear parabolic equations. Proc. Nat. Acad. Sci. U.S.A. 56 (1966) 1907–1911. | DOI | MR | Zbl
,[23] Linear-quadratic-Gaussian mixed games with continuum-parametrized minor player. SIAM J. Control Optim. 50 (2012) 2907–2937. | DOI | MR | Zbl
and ,[24] On mean field systems with multi-classes. Discrete Contin. Dyn. Syst. 40 (2020) 683–707. | DOI | MR | Zbl
, and ,[25] Laws of large numbers for systems with mean-field interactions and Markovian switching. Stoch. Process Appl. 130 (2020) 262–296. | DOI | MR | Zbl
, and ,[26] A general stochastic maximum principle for optimal control problems. SIAM J. Control Optim. 28 (1990) 966–979. | DOI | MR | Zbl
,[27] Dynamic programming for optimal control of stochastic McKean–Vlasov dynamics. SIAM J. Control Optim. 55 (2017) 1069–1101. | DOI | MR | Zbl
and ,[28] Stochastic Integration and Differential Equations, 2nd edn., Springer, Berlin (2005) | DOI | MR | Zbl
,[29] Markov Processes, and Martingales. Vol. 2. Itô Calculus (Reprint of the second (1994) edition). Cambridge University Press, Cambridge (2000). | MR | Zbl
and ,[30] Nonlinear filtering theory for McKean-Vlasov type stochastic differential equations. SIAM J. Control Optim. 54 (2016), 153–174. | DOI | MR | Zbl
and ,[31] Leader-follower stochastic differential game with asymmetric information and applications. Automatica 63 (2016) 60–73. | DOI | MR | Zbl
, and ,[32] Topics in propagation of chaos, in Ecole d?Eté de Probabilités de Saint-Flour XIX - 1989, edited by , Vol 1464 of Lecture Notes in Math. Springer-Verlag, Berlin (1991) 165–251. | MR | Zbl
,[33] Limit theorems for certain diffusion processes with interaction. Stoch. Anal. 32 (1984) 469–488. | MR | Zbl
,[34] Mean field production output control with sticky prices: Nash and social solutions. Automatica 100 (2019) 90–98. | DOI | MR | Zbl
and ,[35] Mean field games for large-population multiagent systems with Markov jump parameters. SIAM J. Control Optim. 50 (2012) 2308–2334. | DOI | MR | Zbl
and ,[36] Social optima in mean field linear-quadratic-Gaussian models with Markov jump parameters. SIAM J. Control Optim. 55 (2017) 429–456. | DOI | MR
and ,[37] Asymptotic properties of a mean-field model with a continuous-state-dependent switching process. J. Appl. Probab. 46 (2009) 221–243. | DOI | MR | Zbl
and ,[38] Hybrid Switching Diffusions: Properties and Applications. Springer, New York (2010). | DOI | MR | Zbl
and ,[39] Regime switching stochastic approximation algorithms with application to adaptive discrete stochastic optimization. SIAM J. Optim. 14 (2004) 1187–1215. | DOI | MR | Zbl
, and ,[40] Stochastic recursive algorithms for networked systems with delay and random switching: Multiscale formulations and asymptotic properties. SIAM J.: Multiscale Model. Simul. 9 (2011) 1087–1112. | MR | Zbl
, and ,[41] Stochastic Controls: Hamiltonian Systems and HJB Equations. Springer-Verlag, New York (1999). | DOI | MR | Zbl
and ,[42] On nearly optimal controls of hybrid LQG problems. IEEE Trans. Automat. Control 44 (1999) 2271–2282. | DOI | MR | Zbl
and ,[43] A general stochastic maximum principle for a Markov regime switching jump-diffusion model of mean-field type. SIAM J. Control Optim. 56 (2018) 2563–2592. | DOI | MR | Zbl
, and ,Cité par Sources :
The research of S. Nguyen was supported by a seed fund of Department of Mathematics at University of Puerto Rico, Rio Piedras campus; the research of D. Nguyen was funded by Vietnam National Foundation for Science and Technology Development (NAFOSTED) under grant number 101.03-2015.28; the research of G. Yin was supported in part by the Army Research Office under grant W911NF-19-1-0176.