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On exact controllability of Itô stochastic systems with input delay
Wenjing Wang1, Wei Wang1, Juanjuan Xu1
1School of Control Science and Engineering, Shandong University, Jinan, Shandong, 250061, PR China.
ISA Transactions
|November 12, 2024
Summary
This study investigates exact controllability for Itô stochastic systems with input delay. We establish Gramian matrix and Rank conditions, crucial for designing reliable control systems despite delays.
Area of Science:
- Stochastic Systems and Control Theory
- Nonlinear Control Systems
- Mathematical Finance
Background:
- Itô stochastic systems are widely used in modeling complex dynamic phenomena.
- Input delays introduce significant challenges in achieving exact controllability.
- Existing control strategies often struggle with adaptiveness due to these delays.
Purpose of the Study:
- To develop criteria for the exact controllability of Itô stochastic systems with input delay.
- To address the complexities arising from the interplay of delay-free and delayed controllers.
- To provide a robust theoretical framework for systems with inherent time lags.
Main Methods:
- Formulation of control problems involving both immediate and delayed control inputs.
- Development and application of backward stochastic differential equations (BSDEs) tailored for delayed systems.
- Derivation of Gramian matrix and Rank conditions for assessing controllability.
Main Results:
- Established a necessary and sufficient Gramian matrix condition for exact controllability.
- Provided a necessary Rank condition for exact controllability in the presence of input delay.
- Demonstrated the solvability of BSDEs with input delay, a key step in the analysis.
Conclusions:
- The derived conditions offer precise criteria for determining the exact controllability of Itô stochastic systems with input delay.
- This work advances the understanding and design of controllers for systems affected by time lags.
- The methodology provides a foundation for further research in adaptive control for stochastic systems.
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