{"title":"一类正非线性连续和离散系统的绝对稳定性","authors":"T. Kaczorek","doi":"10.24425/ACS.2019.127529","DOIUrl":null,"url":null,"abstract":"A dynamical system is called positive if its trajectory starting from any nonnegative initial state remains forever in the positive orthant for all nonnegative inputs. An overview of state of the art in positive theory is given in the monographs and papers [1, 2, 6, 10, 11]. Variety of models having positive behavior can be found in engineering, economics, social sciences, biology and medicine. The stability of linear and nonlinear standard and positive fractional systems has been addressed in [3–8, 14, 15, 19–22]. The stabilization of positive descriptor fractional systems has been investigated in [9, 18, 19, 20]. The superstable linear systems have been addressed in [16, 17]. Positive linear systems with different fractional orders have been introduced in [13, 12] and their stability has been analyzed in [3, 19]. In this paper the positivity and absolute stability of a class of nonlinear continuous-time and discrete-time systems will be investigated. The paper is organized as follows. In section 2 some preliminaries concerning positivity and stability of linear systems are recalled. The positivity and absolute stability of positive continuous-time nonlinear systems is investigated in section 3 and of positive discrete-time nonlinear systems in section 4. Concluding remarks are given in section 5.","PeriodicalId":48654,"journal":{"name":"Archives of Control Sciences","volume":"34 1","pages":""},"PeriodicalIF":1.2000,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Absolute stability of a class of positive nonlinear continuous-time and discrete-time systems\",\"authors\":\"T. Kaczorek\",\"doi\":\"10.24425/ACS.2019.127529\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A dynamical system is called positive if its trajectory starting from any nonnegative initial state remains forever in the positive orthant for all nonnegative inputs. An overview of state of the art in positive theory is given in the monographs and papers [1, 2, 6, 10, 11]. Variety of models having positive behavior can be found in engineering, economics, social sciences, biology and medicine. The stability of linear and nonlinear standard and positive fractional systems has been addressed in [3–8, 14, 15, 19–22]. The stabilization of positive descriptor fractional systems has been investigated in [9, 18, 19, 20]. The superstable linear systems have been addressed in [16, 17]. Positive linear systems with different fractional orders have been introduced in [13, 12] and their stability has been analyzed in [3, 19]. In this paper the positivity and absolute stability of a class of nonlinear continuous-time and discrete-time systems will be investigated. The paper is organized as follows. In section 2 some preliminaries concerning positivity and stability of linear systems are recalled. The positivity and absolute stability of positive continuous-time nonlinear systems is investigated in section 3 and of positive discrete-time nonlinear systems in section 4. Concluding remarks are given in section 5.\",\"PeriodicalId\":48654,\"journal\":{\"name\":\"Archives of Control Sciences\",\"volume\":\"34 1\",\"pages\":\"\"},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2023-07-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Archives of Control Sciences\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.24425/ACS.2019.127529\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archives of Control Sciences","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.24425/ACS.2019.127529","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
Absolute stability of a class of positive nonlinear continuous-time and discrete-time systems
A dynamical system is called positive if its trajectory starting from any nonnegative initial state remains forever in the positive orthant for all nonnegative inputs. An overview of state of the art in positive theory is given in the monographs and papers [1, 2, 6, 10, 11]. Variety of models having positive behavior can be found in engineering, economics, social sciences, biology and medicine. The stability of linear and nonlinear standard and positive fractional systems has been addressed in [3–8, 14, 15, 19–22]. The stabilization of positive descriptor fractional systems has been investigated in [9, 18, 19, 20]. The superstable linear systems have been addressed in [16, 17]. Positive linear systems with different fractional orders have been introduced in [13, 12] and their stability has been analyzed in [3, 19]. In this paper the positivity and absolute stability of a class of nonlinear continuous-time and discrete-time systems will be investigated. The paper is organized as follows. In section 2 some preliminaries concerning positivity and stability of linear systems are recalled. The positivity and absolute stability of positive continuous-time nonlinear systems is investigated in section 3 and of positive discrete-time nonlinear systems in section 4. Concluding remarks are given in section 5.
期刊介绍:
Archives of Control Sciences welcomes for consideration papers on topics of significance in broadly understood control science and related areas, including: basic control theory, optimal control, optimization methods, control of complex systems, mathematical modeling of dynamic and control systems, expert and decision support systems and diverse methods of knowledge modelling and representing uncertainty (by stochastic, set-valued, fuzzy or rough set methods, etc.), robotics and flexible manufacturing systems. Related areas that are covered include information technology, parallel and distributed computations, neural networks and mathematical biomedicine, mathematical economics, applied game theory, financial engineering, business informatics and other similar fields.