{"title":"Inverse-based methods to minimum-energy MV control for nonsquare state-space systems","authors":"W. Hunek, J. Korniak","doi":"10.1109/MMAR.2017.8046888","DOIUrl":null,"url":null,"abstract":"The paper presents an approach to the synthesis of MV control systems with respect to minimum-energy of the control inputs. Due to the reason, a recently introduced polynomial matrix σ-inverse is applied to LTI nonsquare systems described by discrete-time state-space framework. It is shown that classical minimum-norm right inverse is not sufficient to obtain the minimum-energy of control runs. Thus, the σ-inverse with parameter/polynomial, so-called degrees of freedom, gives better results than typical Moore-Penrose inverse in terms of said lower energy. The effectiveness of the presented method is confirmed by simulation examples in Matlab environment.","PeriodicalId":189753,"journal":{"name":"2017 22nd International Conference on Methods and Models in Automation and Robotics (MMAR)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 22nd International Conference on Methods and Models in Automation and Robotics (MMAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMAR.2017.8046888","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The paper presents an approach to the synthesis of MV control systems with respect to minimum-energy of the control inputs. Due to the reason, a recently introduced polynomial matrix σ-inverse is applied to LTI nonsquare systems described by discrete-time state-space framework. It is shown that classical minimum-norm right inverse is not sufficient to obtain the minimum-energy of control runs. Thus, the σ-inverse with parameter/polynomial, so-called degrees of freedom, gives better results than typical Moore-Penrose inverse in terms of said lower energy. The effectiveness of the presented method is confirmed by simulation examples in Matlab environment.