The work investigates a novel State Dependent Parameter (SDP) approach for the control of nonlinear systems, with particular emphasis on construction robots. It utilizes two practical demonstrators to evaluate and refine the control algorithms developed: a 1/5th scale laboratory representation of the Lancaster University Computerised Intelligent Excavator (LUCIE); and a full scale commercial vibro-lance system used for ground improvement on construction sites. In addition to these practical examples, the work also considers a benchmark simulation model, namely the multivariable, nonlinear ALSTOM gasifier system. The control methodology is based on the representation of the nonlinear dynamical system in a quasi-linear State Dependent Parameter (SDP) form, in which the parameters vary as functions of the state variables. Here, the states are typically defined as lagged input and output variables. The linear-like structure of the SDP model means that, at each sampling instant, it can be considered as a ‘frozen’ linear system. This formulation is subsequently used to design a Proportional-Integral-Plus (PIP) control law using linear system design strategies.
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The work investigates a novel State Dependent Parameter (SDP) approach for the control of nonlinear systems, with particular emphasis on construction robots. It utilizes two practical demonstrators to evaluate and refine the control algorithms developed: a 1/5th scale laboratory representation of the Lancaster University Computerised Intelligent Excavator (LUCIE); and a full scale commercial vibro-lance system used for ground improvement on construction sites. In addition to these practical examples, the work also considers a benchmark simulation model, namely the multivariable, nonlinear ALSTOM gasifier system. The control methodology is based on the representation of the nonlinear dynamical system in a quasi-linear State Dependent Parameter (SDP) form, in which the parameters vary as functions of the state variables. Here, the states are typically defined as lagged input and output variables. The linear-like structure of the SDP model means that, at each sampling instant, it can be considered as a 'frozen' linear system. This formulation is subsequently used to design a Proportional-Integral-Plus (PIP) control law using linear system design strategies. 332 pp. Englisch. Seller Inventory # 9786138838227
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shaban EssamE.M. Shaban born in Cairo-Egypt in 15th of July 1967. He received the Ph.D. degree in the field of True Digital Control (TDC) from Lancaster University, Lancaster, UK in 2006.He is currently an Associate Professor in Mec. Seller Inventory # 485927026
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Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. State Dependent Parameter control applied to construction robots | and other nonlinear systems | Essam Shaban | Taschenbuch | Englisch | 2021 | Scholars' Press | EAN 9786138838227 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 120320303
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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The work investigates a novel State Dependent Parameter (SDP) approach for the control of nonlinear systems, with particular emphasis on construction robots. It utilizes two practical demonstrators to evaluate and refine the control algorithms developed: a 1/5th scale laboratory representation of the Lancaster University Computerised Intelligent Excavator (LUCIE); and a full scale commercial vibro-lance system used for ground improvement on construction sites. In addition to these practical examples, the work also considers a benchmark simulation model, namely the multivariable, nonlinear ALSTOM gasifier system. The control methodology is based on the representation of the nonlinear dynamical system in a quasi-linear State Dependent Parameter (SDP) form, in which the parameters vary as functions of the state variables. Here, the states are typically defined as lagged input and output variables. The linear-like structure of the SDP model means that, at each sampling instant, it can be considered as a 'frozen' linear system. This formulation is subsequently used to design a Proportional-Integral-Plus (PIP) control law using linear system design strategies.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 332 pp. Englisch. Seller Inventory # 9786138838227
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The work investigates a novel State Dependent Parameter (SDP) approach for the control of nonlinear systems, with particular emphasis on construction robots. It utilizes two practical demonstrators to evaluate and refine the control algorithms developed: a 1/5th scale laboratory representation of the Lancaster University Computerised Intelligent Excavator (LUCIE); and a full scale commercial vibro-lance system used for ground improvement on construction sites. In addition to these practical examples, the work also considers a benchmark simulation model, namely the multivariable, nonlinear ALSTOM gasifier system. The control methodology is based on the representation of the nonlinear dynamical system in a quasi-linear State Dependent Parameter (SDP) form, in which the parameters vary as functions of the state variables. Here, the states are typically defined as lagged input and output variables. The linear-like structure of the SDP model means that, at each sampling instant, it can be considered as a 'frozen' linear system. This formulation is subsequently used to design a Proportional-Integral-Plus (PIP) control law using linear system design strategies. Seller Inventory # 9786138838227
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Condition: New. PRINT ON DEMAND. Seller Inventory # 18395128476