Bumpless Transfer Switching Model Predictive Control for Switched Linear Systems with Average Dwell Time

This paper is concerned with the bumpless transfer control for a class of discrete-time switched systems with average dwell time. An optimization approach namely bumpless transfer switching model predictive control (BT-sMPC) is proposed, which optimizes the stabilization and bumpless transfer performance, simultaneously in the prediction horizon. By establishing a step-by-step feedback control law, the stability of the switched system is theoretically guaranteed via multiple Lyapunov functions. In addition, the control synthesis problem is formulated as a “worst-case” optimization over comprehensive objectives to enhance computational efficiency. Compared with existing switching MPC methods, the control bumps can be significantly reduced by the proposed approach, and simulation studies are provided to demonstrate the superiority of BT-sMPC on control performance.

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Publication Details

Published
2025-07-04
DOI
https://doi.org/10.1109/fasta65681.2025.11138985
Primary Topic
Stability and Control of Uncertain Systems
Type
article
Field-Weighted Citation Impact
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article

Bumpless Transfer Switching Model Predictive Control for Switched Linear Systems with Average Dwell Time

Lixian Zhang, Tong Wu, Shengao Lu, Yuejiang Han et al.
Stability and Control of Uncertain Systems
article

Bumpless Transfer Switching Model Predictive Control for Switched Linear Systems with Average Dwell Time

Lixian Zhang, Tong Wu, Shengao Lu, Yuejiang Han, Yuting Ma, Yunpeng Li
article en

Abstract

This paper is concerned with the bumpless transfer control for a class of discrete-time switched systems with average dwell time. An optimization approach namely bumpless transfer switching model predictive control (BT-sMPC) is proposed, which optimizes the stabilization and bumpless transfer performance, simultaneously in the prediction horizon. By establishing a step-by-step feedback control law, the stability of the switched system is theoretically guaranteed via multiple Lyapunov functions. In addition, the control synthesis problem is formulated as a “worst-case” optimization over comprehensive objectives to enhance computational efficiency. Compared with existing switching MPC methods, the control bumps can be significantly reduced by the proposed approach, and simulation studies are provided to demonstrate the superiority of BT-sMPC on control performance.

Harbin Institute of Technology (CN)
Openalex Percentile: Top 69%
Stability and Control of Uncertain Systems
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