Model Predictive Control of Spatially Distributed Systems with Spatio-Temporal Logic Specifications

In this paper, for spatially distributed systems, we propose a new method of model predictive control with spatio-temporal logic specifications. We formulate the finite-time control problem with specifications described by SSTLf (signal spatio-temporal logic over finite traces) formulas. In the problem formulation, the feasibility is guaranteed by representing control specifications as a penalty in the cost function. Time-varying weights in the cost function are introduced to satisfy control specifications as well as possible. The finite-time control problem can be written as a mixed integer programming (MIP) problem. According to the policy of model predictive control (MPC), the control input can be generated by solving the finite-time control problem at each discrete time. The effectiveness of the proposed method is presented through a numerical example.

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Publication Details

Journal
Computation
Published
2024-09-30
DOI
https://doi.org/10.3390/computation12100196
Citations
2
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
0.66

Funders

Controls
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article

Model Predictive Control of Spatially Distributed Systems with Spatio-Temporal Logic Specifications

Koichi Kobayashi, Yuh Yamashita, Ikkei Komizu
2 citations
Computation
Advanced Control Systems Optimization
0.66
article

Model Predictive Control of Spatially Distributed Systems with Spatio-Temporal Logic Specifications

Koichi Kobayashi, Yuh Yamashita, Ikkei Komizu
article en
2 citations

Abstract

In this paper, for spatially distributed systems, we propose a new method of model predictive control with spatio-temporal logic specifications. We formulate the finite-time control problem with specifications described by SSTLf (signal spatio-temporal logic over finite traces) formulas. In the problem formulation, the feasibility is guaranteed by representing control specifications as a penalty in the cost function. Time-varying weights in the cost function are introduced to satisfy control specifications as well as possible. The finite-time control problem can be written as a mixed integer programming (MIP) problem. According to the policy of model predictive control (MPC), the control input can be generated by solving the finite-time control problem at each discrete time. The effectiveness of the proposed method is presented through a numerical example.

ComputationVol. 12(10)
Hokkaido University (JP)
Japan Society for the Promotion of Science
Openalex Percentile: Top 30%
Advanced Control Systems Optimization
0.66
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Model Predictive Control of Spatially Distributed Systems with Spatio-Temporal Logic Specifications — Koichi Kobayashi, Yuh Yamashita, et al. · Computation (2024) | TGRS Research Map | TGRS