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An alternative LMI static output feedback control design for discrete-time nonlinear systems represented by
V Estrada-Manzo1, Zs Lendek2, T M Guerra3
1Department of Electrical and Electronics Engineering of the Sonora Institute of Technology, Cd.Obregon, Sonora, Mexico.
This study introduces a new static output feedback controller for discrete-time nonlinear systems using Takagi-Sugeno models. The method offers more relaxed design conditions, improving upon existing literature for controller synthesis.
Area of Science:
- Control Systems Engineering
- Nonlinear System Dynamics
- Mathematical Modeling
Background:
- Takagi-Sugeno (T-S) models are widely used for representing complex nonlinear systems.
- Designing static output feedback controllers for discrete-time nonlinear systems presents significant challenges.
- Existing methods often impose restrictive conditions, limiting their applicability.
Purpose of the Study:
- To develop a novel static output feedback controller design for discrete-time nonlinear systems.
- To achieve less demanding design conditions compared to current approaches.
- To enhance the flexibility and applicability of controller synthesis for T-S models.
Main Methods:
- Utilizing Takagi-Sugeno models for exact system representation.
- Incorporating past states into both the control law and Lyapunov function.
- Formulating controller design conditions using linear matrix inequalities (LMIs).
Main Results:
- The proposed method yields more relaxed conditions for controller design.
- The inclusion of past states in the control law and Lyapunov function is key to improved results.
- Numerical examples demonstrate the effectiveness and less demanding nature of the proposed conditions.
Conclusions:
- The presented static output feedback controller design offers a significant improvement for discrete-time nonlinear Takagi-Sugeno systems.
- The approach provides a more flexible and less conservative alternative to existing methods.
- This work contributes to advancing the theory and practice of robust control for nonlinear systems.
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