Finite Control Set Model Predictive Control with Limit Cycle Stability Guarantees
<|reference_start|>Finite Control Set Model Predictive Control with Limit Cycle Stability Guarantees: This paper considers the design of finite control set model predictive control (FCS-MPC) for discrete-time switched affine systems. Existing FCS-MPC methods typically pursue practical stability guarantees, which ensure convergence to a bounded invariant set that contains a desired steady state. As such, current FCS-MPC methods result in unpredictable steady-state behavior due to arbitrary switching among the available finite control inputs. Motivated by this, we present a FCS-MPC design that aims to stabilize a steady-state limit cycle compatible with a desired output reference via a suitable cost function. We provide conditions in terms of periodic terminal costs and finite control set control laws that guarantee asymptotic stability of the developed limit cycle FCS-MPC algorithm. Moreover, we develop conditions for recursive feasibility of limit cycle FCS-MPC in terms of periodic terminal sets and we provide systematic methods for computing ellipsoidal and polytopic periodically invariant sets that contain a desired steady-state limit cycle. Compared to existing periodic terminal ingredients for tracking MPC with a continuous control set, we design and compute terminal ingredients using a finite control set. The developed methodology is validated on switched systems and power electronics benchmark examples.<|reference_end|>
@article{xu2024finite,
    title={Finite Control Set Model Predictive Control with Limit Cycle Stability
  Guarantees},
    author={Duo Xu and Mircea Lazar},
    journal={arXiv preprint arXiv:2407.07615},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.07615},
    primaryClass={math.OC cs.SY eess.SY}
}