Computationally Tractable Stability Criteria for Exogenously Switched Model Predictive Control
| Autor: | Richard Hall, Leila Jasmine Bridgeman |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
Control and Optimization Computer science Linear system Process (computing) Stability (learning theory) Markov process Context (language use) 02 engineering and technology 021001 nanoscience & nanotechnology symbols.namesake Model predictive control Dwell time 020901 industrial engineering & automation Exponential stability Control and Systems Engineering Control theory Control system symbols State (computer science) 0210 nano-technology Numerical stability |
| Zdroj: | ACC |
| ISSN: | 2475-1456 |
| DOI: | 10.1109/lcsys.2020.3043866 |
| Popis: | Although state-based switching is well-studied in the context of model predictive control (MPC), the theory for exogenous switches is less advanced. External switching affects many systems and is of growing importance due to the increasing use of networked control systems where abrupt changes in communication lines induce switched dynamics. In search of practical means to implement MPC for switched systems, this letter examines techniques to ensure their stability. Several existing methods are summarized and a novel approach is suggested to reduce computational costs while unifying the process for both average and minimum dwell time constraints. Two numerical examples contrast current and previous works. |
| Databáze: | OpenAIRE |
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