9783725879519 - nonlinear system modelling and control (4 risultati)
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Da: California Books, Miami, FL, U.S.A.California Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 65,00
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Condizione: New.
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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 64,99
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: new. Hardcover. Modelling of nonlinear systems and control is a vital field in engineering and mathematics, aiming to understand, model, and manipulate systems exhibiting nonlinear behaviour. Unlike linear systems, where outputs are directly proportional to inputs, nonlinear systems feature more complex dy…namics, making them ubiquitous in real-world applications such as robotics, aerospace, energy applications, bioengineering, economics, and many more. The process of system modelling/identification involves constructing mathematical models based on observed data. For nonlinear systems, this typically entails capturing the system's input-output relationships and internal dynamics, which can exhibit characteristics such as saturation, hysteresis, and multi-stability. Techniques employed include nonlinear regression, neural networks, and differential equation modelling, often requiring advanced algorithms and significant computational resources. Once a nonlinear system is accurately identified, control strategies can be developed to achieve desired behaviours. Nonlinear control methods, such as feedback linearization, sliding mode control, and adaptive control, are designed to handle the intricacies of nonlinear dynamics, ensuring stability, performance, and robustness. In summary, modelling and control of nonlinear systems are essential for developing sophisticated technologies and enhancing system performance in complex environments, reflecting a crucial intersection of theoretical research and practical application. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 73,01
EUR 31,99 spedizioneSpedito da Australia a U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: new. Hardcover. Modelling of nonlinear systems and control is a vital field in engineering and mathematics, aiming to understand, model, and manipulate systems exhibiting nonlinear behaviour. Unlike linear systems, where outputs are directly proportional to inputs, nonlinear systems feature more complex dy…namics, making them ubiquitous in real-world applications such as robotics, aerospace, energy applications, bioengineering, economics, and many more. The process of system modelling/identification involves constructing mathematical models based on observed data. For nonlinear systems, this typically entails capturing the system's input-output relationships and internal dynamics, which can exhibit characteristics such as saturation, hysteresis, and multi-stability. Techniques employed include nonlinear regression, neural networks, and differential equation modelling, often requiring advanced algorithms and significant computational resources. Once a nonlinear system is accurately identified, control strategies can be developed to achieve desired behaviours. Nonlinear control methods, such as feedback linearization, sliding mode control, and adaptive control, are designed to handle the intricacies of nonlinear dynamics, ensuring stability, performance, and robustness. In summary, modelling and control of nonlinear systems are essential for developing sophisticated technologies and enhancing system performance in complex environments, reflecting a crucial intersection of theoretical research and practical application. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 69,27
EUR 43,28 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: new. Hardcover. Modelling of nonlinear systems and control is a vital field in engineering and mathematics, aiming to understand, model, and manipulate systems exhibiting nonlinear behaviour. Unlike linear systems, where outputs are directly proportional to inputs, nonlinear systems feature more complex dy…namics, making them ubiquitous in real-world applications such as robotics, aerospace, energy applications, bioengineering, economics, and many more. The process of system modelling/identification involves constructing mathematical models based on observed data. For nonlinear systems, this typically entails capturing the system's input-output relationships and internal dynamics, which can exhibit characteristics such as saturation, hysteresis, and multi-stability. Techniques employed include nonlinear regression, neural networks, and differential equation modelling, often requiring advanced algorithms and significant computational resources. Once a nonlinear system is accurately identified, control strategies can be developed to achieve desired behaviours. Nonlinear control methods, such as feedback linearization, sliding mode control, and adaptive control, are designed to handle the intricacies of nonlinear dynamics, ensuring stability, performance, and robustness. In summary, modelling and control of nonlinear systems are essential for developing sophisticated technologies and enhancing system performance in complex environments, reflecting a crucial intersection of theoretical research and practical application. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
