Fault Estimation and Control for Unknown Discrete-Time Systems Based on Data-Driven Parameterization Approach
| Autor: | Chao Deng, He Liu, Xiao-Jian Li, Choon Ki Ahn |
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| Rok vydání: | 2023 |
| Předmět: |
Computer science
Parameterized complexity Fault (power engineering) Computer Science Applications Slack variable Data-driven Human-Computer Interaction Discrete time and continuous time Control and Systems Engineering Control theory State (computer science) Electrical and Electronic Engineering Robust control Software Information Systems |
| Zdroj: | IEEE Transactions on Cybernetics. 53:1629-1640 |
| ISSN: | 2168-2275 2168-2267 |
| DOI: | 10.1109/tcyb.2021.3107425 |
| Popis: | This study investigates the problem of fault estimation and control for unknown discrete-time systems. Such a problem was first formulated as an multiobjective optimization problem. Then, a data-driven parameterization controller design method was proposed to optimize both fault estimation and robust control performances. In terms of the single-objection control problem, necessary and sufficient conditions for designing the suboptimal controller were presented, and the performance index optimized by the developed data-driven method was shown to be consistent with that of the model-based method. In addition, by introducing additional slack variables into the controller design conditions, the conservatism of solving the multiobjective optimization problem was reduced. Furthermore, contrary to the existing data-driven controller design methods, the initial stable controller was not required, and the controller gain was directly parameterized by the collected state and input data in this work. Finally, the effectiveness and advantages of the proposed method are shown in the simulation results. |
| Databáze: | OpenAIRE |
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