Isbn: 9786200238733 - robust controller design for a nonlinear chemical process: control and instrumentation engineering (8 resultados)

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Taschenbuch. Condición: Neu. Robust controller design for a nonlinear chemical process | Control and Instrumentation Engineering | Siva Dhas (u. a.) | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786200238733 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In chemical industry most processes modeled by nonlinear equations, to design high-performance nonlinear controllers for efficient control of nonlinear processes to achieve closed-loop system's stability and high performance. Design procedures proposed in this work rely strongly on the process model, difficulty addressed is identification of relatively simple model of nonlinear processes. The nonlinearity of the processes makes it difficult to obtain first-principles model used for analysis and design of the controller. Simple empirical models are chosen to represent nonlinear process for the design of controllers. The second difficulty is analysis of stability and performance for such models using nonlinear control theory is not straightforward. It is proposed in this study to investigate the stability and performance using a robust control approach. Nonlinear model is approximated by a nominal linear model combined with a mathematical description of model error to be referred to, in this work, as model uncertainty, with respect to the nominal linear model is due to the system nonlinearity. Then robust control theoretical tools applied for the design of controllers. 52 pp. Englisch.…

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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In chemical industry most processes modeled by nonlinear equations, to design high-performance nonlinear controllers for efficient control of nonlinear processes to achieve closed-loop system's stability and high performance. Design procedures proposed in this work rely strongly on the process model, difficulty addressed is identification of relatively simple model of nonlinear processes. The nonlinearity of the processes makes it difficult to obtain first-principles model used for analysis and design of the controller. Simple empirical models are chosen to represent nonlinear process for the design of controllers. The second difficulty is analysis of stability and performance for such models using nonlinear control theory is not straightforward. It is proposed in this study to investigate the stability and performance using a robust control approach. Nonlinear model is approximated by a nominal linear model combined with a mathematical description of model error to be referred to, in this work, as model uncertainty, with respect to the nominal linear model is due to the system nonlinearity. Then robust control theoretical tools applied for the design of controllers.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. In chemical industry most processes modeled by nonlinear equations, to design high-performance nonlinear controllers for efficient control of nonlinear processes to achieve closed-loop system s stability and high performance. Design procedures proposed in t.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In chemical industry most processes modeled by nonlinear equations, to design high-performance nonlinear controllers for efficient control of nonlinear processes to achieve closed-loop system's stability and high performance. Design procedures proposed in this work rely strongly on the process model, difficulty addressed is identification of relatively simple model of nonlinear processes. The nonlinearity of the processes makes it difficult to obtain first-principles model used for analysis and design of the controller. Simple empirical models are chosen to represent nonlinear process for the design of controllers. The second difficulty is analysis of stability and performance for such models using nonlinear control theory is not straightforward. It is proposed in this study to investigate the stability and performance using a robust control approach. Nonlinear model is approximated by a nominal linear model combined with a mathematical description of model error to be referred to, in this work, as model uncertainty, with respect to the nominal linear model is due to the system nonlinearity. Then robust control theoretical tools applied for the design of controllers.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch.…