Definition and Utilization of the Null Controllable Region for Model Predictive Control of Multi-Input Linear Systems
The problem of guaranteeing stability from the entire null controllable region (NCR) for multi-input linear dynamical systems is addressed in the present manuscript. The proposed controller design is inspired by results for single input systems and generalized to multiple input systems. The approach...
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doaj-a2e3a8e3e65543d991375cc046afd7142021-06-01T00:00:53ZengMDPI AGMathematics2227-73902021-05-0191110111010.3390/math9101110Definition and Utilization of the Null Controllable Region for Model Predictive Control of Multi-Input Linear SystemsAngela Battista0Prashant Mhaskar1Department of Chemical Engineering, McMaster University, Hamilton, ON L8S 4L7, CanadaDepartment of Chemical Engineering, McMaster University, Hamilton, ON L8S 4L7, CanadaThe problem of guaranteeing stability from the entire null controllable region (NCR) for multi-input linear dynamical systems is addressed in the present manuscript. The proposed controller design is inspired by results for single input systems and generalized to multiple input systems. The approach relies on utilizing the level sets of the NCR as level sets of a Lyapunov function. A contractive constraint is incorporated into a model predictive control design, guaranteeing feasibility for any horizon length, and resulting in the NCR as the closed-loop stability region. The proposed method is illustrated using a simulation example.https://www.mdpi.com/2227-7390/9/10/1110linear dynamicle systemsnull controllable regioninput constraints |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Angela Battista Prashant Mhaskar |
spellingShingle |
Angela Battista Prashant Mhaskar Definition and Utilization of the Null Controllable Region for Model Predictive Control of Multi-Input Linear Systems Mathematics linear dynamicle systems null controllable region input constraints |
author_facet |
Angela Battista Prashant Mhaskar |
author_sort |
Angela Battista |
title |
Definition and Utilization of the Null Controllable Region for Model Predictive Control of Multi-Input Linear Systems |
title_short |
Definition and Utilization of the Null Controllable Region for Model Predictive Control of Multi-Input Linear Systems |
title_full |
Definition and Utilization of the Null Controllable Region for Model Predictive Control of Multi-Input Linear Systems |
title_fullStr |
Definition and Utilization of the Null Controllable Region for Model Predictive Control of Multi-Input Linear Systems |
title_full_unstemmed |
Definition and Utilization of the Null Controllable Region for Model Predictive Control of Multi-Input Linear Systems |
title_sort |
definition and utilization of the null controllable region for model predictive control of multi-input linear systems |
publisher |
MDPI AG |
series |
Mathematics |
issn |
2227-7390 |
publishDate |
2021-05-01 |
description |
The problem of guaranteeing stability from the entire null controllable region (NCR) for multi-input linear dynamical systems is addressed in the present manuscript. The proposed controller design is inspired by results for single input systems and generalized to multiple input systems. The approach relies on utilizing the level sets of the NCR as level sets of a Lyapunov function. A contractive constraint is incorporated into a model predictive control design, guaranteeing feasibility for any horizon length, and resulting in the NCR as the closed-loop stability region. The proposed method is illustrated using a simulation example. |
topic |
linear dynamicle systems null controllable region input constraints |
url |
https://www.mdpi.com/2227-7390/9/10/1110 |
work_keys_str_mv |
AT angelabattista definitionandutilizationofthenullcontrollableregionformodelpredictivecontrolofmultiinputlinearsystems AT prashantmhaskar definitionandutilizationofthenullcontrollableregionformodelpredictivecontrolofmultiinputlinearsystems |
_version_ |
1721416026080411648 |