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| Điều khiển lùi bước× | Điều khiển H-vô cùng× | |
|---|---|---|
| Lĩnh vực | Lý thuyết điều khiển | Lý thuyết điều khiển |
| Họ | Machine learning | Machine learning |
| Năm ra đời≠ | 1995 | 1981 |
| Người khởi xướng≠ | Miroslav Krstic | George Zames |
| Loại | algorithm | algorithm |
| Công trình gốc≠ | Krstic, M., Kanellakopoulos, I., & Kokotovic, P. (1995). Nonlinear and Adaptive Control Design. John Wiley & Sons. link ↗ | Zames, G. (1981). Feedback and optimal sensitivity: Model reference transformations, multiplicative seminorms, and approximate inverses. IEEE Transactions on Automatic Control, 26(2), 301-320. DOI ↗ |
| Tên gọi khác≠ | Integrator Backstepping, Recursive Lyapunov Design | H∞ Control, Robust Control, Minimax Control |
| Liên quan≠ | 3 | 4 |
| Tóm tắt≠ | Backstepping is a systematic nonlinear control design method that decomposes a complex nonlinear system into simpler subsystems and designs a controller recursively, layer by layer, ensuring stability at each step. Developed by Krstic, Kanellakopoulos, and Kokotovic, backstepping enables control of nonlinear systems without requiring exact model knowledge or full state linearization, combining flexibility with guaranteed stability. | H-infinity (H∞) control is a robust control method that minimizes the worst-case gain from disturbances to controlled outputs, formulated as a minimax optimization problem. Pioneered by Zames in the early 1980s, H∞ control provides a principled way to design feedback controllers that tolerate model uncertainty, unmodeled dynamics, and disturbances while maintaining stability and performance, making it essential for applications requiring guaranteed robustness. |
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