{"title":"Structure identification of time delay polynomial Hammerstein models","authors":"Feng Yu, Dakuo He, Runda Jia, Zhizhong Mao","doi":"10.1016/j.automatica.2025.112386","DOIUrl":null,"url":null,"abstract":"<div><div>The structure identification of block-oriented nonlinear models is of great significance; however, the research in this area is still far from mature. This paper focuses on the structure identification of time delay Hammerstein models with polynomial nonlinearity. Identification involves estimating the order of the linear part, the order of the polynomial function, and the time delay. The proposed algorithm is derived by analyzing specific information matrices, which are based on sufficient excitation conditions. Additionally, this paper investigates the structure identification of the Hammerstein systems with arbitrary nonlinearities under the influence of measurement noise. An improved criterion is proposed to identify the structure of the linear part, which can also offer important information for determining the order of the polynomial function. Simulation experiments validate the effectiveness of the proposed algorithm.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":"179 ","pages":"Article 112386"},"PeriodicalIF":5.9000,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Automatica","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0005109825002808","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
The structure identification of block-oriented nonlinear models is of great significance; however, the research in this area is still far from mature. This paper focuses on the structure identification of time delay Hammerstein models with polynomial nonlinearity. Identification involves estimating the order of the linear part, the order of the polynomial function, and the time delay. The proposed algorithm is derived by analyzing specific information matrices, which are based on sufficient excitation conditions. Additionally, this paper investigates the structure identification of the Hammerstein systems with arbitrary nonlinearities under the influence of measurement noise. An improved criterion is proposed to identify the structure of the linear part, which can also offer important information for determining the order of the polynomial function. Simulation experiments validate the effectiveness of the proposed algorithm.
期刊介绍:
Automatica is a leading archival publication in the field of systems and control. The field encompasses today a broad set of areas and topics, and is thriving not only within itself but also in terms of its impact on other fields, such as communications, computers, biology, energy and economics. Since its inception in 1963, Automatica has kept abreast with the evolution of the field over the years, and has emerged as a leading publication driving the trends in the field.
After being founded in 1963, Automatica became a journal of the International Federation of Automatic Control (IFAC) in 1969. It features a characteristic blend of theoretical and applied papers of archival, lasting value, reporting cutting edge research results by authors across the globe. It features articles in distinct categories, including regular, brief and survey papers, technical communiqués, correspondence items, as well as reviews on published books of interest to the readership. It occasionally publishes special issues on emerging new topics or established mature topics of interest to a broad audience.
Automatica solicits original high-quality contributions in all the categories listed above, and in all areas of systems and control interpreted in a broad sense and evolving constantly. They may be submitted directly to a subject editor or to the Editor-in-Chief if not sure about the subject area. Editorial procedures in place assure careful, fair, and prompt handling of all submitted articles. Accepted papers appear in the journal in the shortest time feasible given production time constraints.