Multi-Rate Control Design Under Input Constraints via Fixed-Time Barrier Functions
Abstract
In this letter, we introduce the notion of periodic safety, which requires that the system trajectories periodically visit a subset of a forward-invariant safe set, and utilize it in a multi-rate framework where a high-level planner generates a reference trajectory that is tracked by a low-level controller under input constraints. We introduce the notion of fixed-time barrier functions which is leveraged by the proposed low-level controller in a quadratic programming framework. Then, we design a model predictive control policy for high-level planning with a bound on the rate of change for the reference trajectory to guarantee that periodic safety is achieved. We demonstrate the effectiveness of the proposed strategy on a simulation example, where the proposed fixed-time stabilizing low-level controller shows successful satisfaction of control objectives, whereas an exponentially stabilizing low-level controller fails.
Additional Information
© 2021 IEEE. Manuscript received March 4, 2021; revised May 3, 2021; accepted May 21, 2021. Date of publication May 27, 2021; date of current version June 28, 2021. The work of Kunal Garg and Dimitra Panagou was supported in part by the AFOSR under Award FA9550-17-1-0284, and in part by NSF under Award 1942907. The work of Ryan K. Cosner, Ugo Rosolia, and Aaron D. Ames was supported by NSF under Award 1932091. Recommended by Senior Editor L. Menini.Attached Files
Submitted - 2103.03695.pdf
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Additional details
- Eprint ID
- 109068
- DOI
- 10.1109/LCSYS.2021.3084322
- Resolver ID
- CaltechAUTHORS:20210511-083656642
- Air Force Office of Scientific Research (AFOSR)
- FA9550-17-1-0284
- NSF
- CMMI-1942907
- NSF
- CNS-1932091
- Created
-
2021-05-11Created from EPrint's datestamp field
- Updated
-
2021-07-08Created from EPrint's last_modified field