Articoli correlati a Nonlinear System Modelling and Control
Sinossi
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 dynamics, 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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Risultati della ricerca per Nonlinear System Modelling and Control
Foto dell'editore
Nonlinear System Modelling and Control (Hardcover)
Print on DemandDa: Grand Eagle Retail, Bensenville, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
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 dynamics, 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. Codice articolo 9783725879519
Compra nuovo
EUR 64,99
Spedizione gratuita
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: 1 disponibili
Foto dell'editore
Nonlinear System Modelling and Control
Da: California Books, Miami, FL, U.S.A.
Valutazione del venditore 4 su 5 stelle
Condizione: New. Codice articolo I-9783725879519
Compra nuovo
EUR 65,00
Spedizione gratuita
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: Più di 20 disponibili
Foto dell'editore
Nonlinear System Modelling and Control (Hardcover)
Print on DemandDa: AussieBookSeller, Truganina, VIC, Australia
Valutazione del venditore 5 su 5 stelle
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 dynamics, 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. Codice articolo 9783725879519
Compra nuovo
EUR 73,01
Spedizione EUR 31,99
Spedito da Australia a U.S.A.
Spedito da Australia a U.S.A.
Quantità: 1 disponibili
Foto dell'editore
Nonlinear System Modelling and Control (Hardcover)
Print on DemandDa: CitiRetail, Stevenage, Regno Unito
Valutazione del venditore 5 su 5 stelle
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 dynamics, 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. Codice articolo 9783725879519
Compra nuovo
EUR 69,27
Spedizione EUR 43,28
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: 1 disponibili