State Compensation Linearization and Control
<|reference_start|>State Compensation Linearization and Control: The linearization method builds a bridge from mature methods for linear systems to nonlinear systems and has been widely used in various areas. There are currently two main linearization methods: Jacobian linearization and feedback linearization. However, the Jacobian linearization method has approximate and local properties, and the feedback linearization method has a singularity problem and loses the physical meaning of the obtained states. Thus, as a kind of complementation, a new linearization method named state compensation linearization is proposed in the paper. Their differences, advantages, and disadvantages are discussed in detail. Based on the state compensation linearization, a state-compensation-linearization-based control framework is proposed for a class of nonlinear systems. Under the new framework, the original problem can be simplified. The framework also allows different control methods, especially those only applicable to linear systems, to be incorporated. Three illustrative examples are also given to show the process and effectiveness of the proposed linearization method and control framework.<|reference_end|>
@article{quan2024state,
    title={State Compensation Linearization and Control},
    author={Quan Quan, Jinrui Ren},
    journal={arXiv preprint arXiv:2406.00285},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.00285},
    primaryClass={math.OC cs.SY eess.SY}
}