A Novel State-Centric Necessary Condition for Time-Optimal Control of Controllable Linear Systems Based on Augmented Switching Laws
<|reference_start|>A Novel State-Centric Necessary Condition for Time-Optimal Control of Controllable Linear Systems Based on Augmented Switching Laws: Most existing necessary conditions for optimal control based on adjoining methods require both state information and costate information, yet the lack of costates for a given feasible trajectory in practice impedes the determination of optimality. This paper establishes a novel theoretical framework for time-optimal control of controllable linear systems, proposing the augmented switching law that represents the input control and the feasibility in a compact form. Given a feasible trajectory, the disturbed trajectory under the constraints of augmented switching law is guaranteed to be feasible, resulting in a novel state-centric necessary condition without dependence on costate information. A first order necessary condition is proposed that the Jacobian matrix of the augmented switching law is not full row rank, which also results in an approach to optimizing a given feasible trajectory further. The proposed necessary condition is applied to the chain-of-integrators systems with full box constraints, contributing to some conclusions challenging to reason by traditional costate-based necessary conditions.<|reference_end|>
@article{wang2024a,
    title={A Novel State-Centric Necessary Condition for Time-Optimal Control of
  Controllable Linear Systems Based on Augmented Switching Laws},
    author={Yunan Wang, Chuxiong Hu, Yujie Lin, Zeyang Li, Shize Lin, Suqin He},
    journal={arXiv preprint arXiv:2404.08943},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.08943},
    primaryClass={math.OC cs.SY eess.SY}
}