arXiv:2109.04846
Model Predictive Control with Infeasible Reference Trajectories
원문 초록
Model Predictive Control (MPC) formulations are typically built on the requirement that a feasible reference trajectory is available. In practical settings, however, references that are infeasible with respect to the system dynamics are used for convenience. In this paper, we prove under which conditions an MPC formulation is Input-to-State Stable~(ISS) in closed-loop when an infeasible reference is used, and that with proper terminal conditions, asymptotic stability towards an optimal reference may be achieved. We illustrate the theoretical results with a four-dimensional robotic joint example.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Differentiable Nonlinear Model Predictive Control
Deep Operator Neural Network Model Predictive Control
Data-driven Model Predictive Control using MATLAB
Model Tensor Planning
Reimagination with Test-time Observation Interventions: Distractor-Robust World Model Predictions for Visual Model Predictive Control
Parallel Branch Model Predictive Control on GPUs
토론
이 논문과 연결된 포럼 글이 아직 없습니다.