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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
An illustrative example of truck-trailer shows the feasibility of the proposed method.
📌 3 Key Takeaways
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Objective & Hypothesis:A robust stabilization problem is considered about nonlinear discrete-time system based on T-S fuzzy model.
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Key Findings & Data:In order to represent the system exactly, the parametric uncertainty is employed to the T-S model.
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Conclusion & Impact:An illustrative example of truck-trailer shows the feasibility of the proposed method.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
A robust stabilization problem is considered about nonlinear discrete-time system based on T-S fuzzy model. In order to represent the system exactly, the parametric uncertainty is employed to the T-S model. A necessary and sufficient condition for the existence of such controllers through Lyapunov theorem is given. And it is further shown that this condition is equivalent to the solvability of a certain linear matrix inequality. An illustrative example of truck-trailer shows the feasibility of the proposed method.
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Cite This Article
MI, Y., PAN, W., JING, Y., DIMIROVSKI, G. M. (2022). Robust stabilization of nonlinear discrete-time systems based on T-S model. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 4 - Sayı: 2, 1191–1198. https://ajindex.com/articles/543876