Abstract
This paper investigates Nash games for stochastic singular systems with Markovian jumps. Based on the generalized Itô’s formula, the corresponding linear quadratic optimal control problem is studied for the first time. Then, we establish the existence of Nash strategies by means of generalized coupled Riccati algebraic equations. As an application, the stochastic H2/H∞ control with state, control, and external disturbance-dependent noise is discussed.
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We would like to express our gratitude to the anonymous reviewers and editors for their valuable comments and suggestions which led to the improvement of the original manuscript.
Funding
This work was partially supported by NNSF of China (Grant No. 11571126).
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Liu, B., Wang, X. Linear Quadratic Nash Differential Games of Stochastic Singular Systems with Markovian Jumps. Acta Math Vietnam 45, 651–660 (2020). https://doi.org/10.1007/s40306-018-00318-x
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DOI: https://doi.org/10.1007/s40306-018-00318-x