Decentralized Control for Interrelated Systems with Asymmetric Information Architecture

This paper focuses on finite-horizon optimum state feedback control problems for interconnected systems of two players involved with asymmetric one-step delay information. For the finite horizon optimum decentralized control problem, a crucial and adequate condition is derived by using Pontryagin’s maximum principle. Under this framework, player 1 transmits its state and control input data with a one-step delay to the controller of player 2, while player 1’s controller does not have access to the real-time or delayed states and control inputs of player 2, resulting in an asymmetric information structure characterized by a one-step delay Then, the solutions to the forward and backward stochastic difference equations are derived. A target tracking system is given in numerical examples to verify the proposed algorithm.

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Publication Details

Journal
Electronics
Published
2025-12-24
DOI
https://doi.org/10.3390/electronics15010096
Primary Topic
Adaptive Dynamic Programming Control
Type
article
Field-Weighted Citation Impact
0.00
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article

Decentralized Control for Interrelated Systems with Asymmetric Information Architecture

Boqun Tan, Xinghua Li, Yixing Wang, Xiao Liang et al.
Electronics
Adaptive Dynamic Programming Control
article

Decentralized Control for Interrelated Systems with Asymmetric Information Architecture

Boqun Tan, Xinghua Li, Yixing Wang, Xiao Liang, Yirun Wang
article en

Abstract

This paper focuses on finite-horizon optimum state feedback control problems for interconnected systems of two players involved with asymmetric one-step delay information. For the finite horizon optimum decentralized control problem, a crucial and adequate condition is derived by using Pontryagin’s maximum principle. Under this framework, player 1 transmits its state and control input data with a one-step delay to the controller of player 2, while player 1’s controller does not have access to the real-time or delayed states and control inputs of player 2, resulting in an asymmetric information structure characterized by a one-step delay Then, the solutions to the forward and backward stochastic difference equations are derived. A target tracking system is given in numerical examples to verify the proposed algorithm.

ElectronicsVol. 15(1)
Linyi University (CN)
Openalex Percentile: Top 27%
Adaptive Dynamic Programming Control
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