What are the inverse system methods for feedback linear decoupling method?
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Inverse system methods for feedback linear decoupling involve utilizing inverse dynamic models to estimate and compensate for disturbances in control systems. These methods aim to achieve decoupling of linear systems while ensuring stability . High-gain feedback can robustly reject disturbances, linearize, and decouple unknown nonlinear static multivariable systems without requiring full knowledge of the system model. Additionally, a nonlinear control strategy based on feedback exact linearization (FEL) is developed for decoupling control design in complex nonlinear systems like cascaded power electronic transformers, enabling the stabilization of various control objectives without coupling and interactions. These approaches offer solutions to challenging decoupling and disturbance rejection problems in both linear and nonlinear systems, enhancing control performance and stability.
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| The feedback exact linearization (FEL) method is utilized for decoupling control in the cascaded power electronic transformer, achieving decoupling of control objectives without coupling and interactions. | |
| The paper presents an Iterative Decoupling Method for high-precision imaging of complex surfaces, utilizing an iterative approach to invert nonlinear coupled equations for accurate surface reconstruction. | |
| Inverse system methods for feedback linear decoupling involve using inverse dynamic models, disturbance observers, compensators, and sliding mode equivalence principles to achieve disturbance rejection and compensation in multivariable control systems. | |
01 Jan 2023 | High-gain feedback method effectively achieves decoupling, disturbance rejection, and linearization for unknown nonlinear systems without requiring knowledge of the system's model or left inverse. |
2 Citations | Not addressed in the paper. |
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