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Control and estimation of dynamical nonlinear and partial differential equation systems : theory and applications /

Robotic and mechatronic systems, autonomous vehicles, electric power systems and smart grids, as well as manufacturing and industrial production systems can exhibit complex nonlinear dynamics or spatio-temporal dynamics which need to be controlled to ensure good functioning and performance. In this...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Rigatos, Gerasimos G., 1971- (Autor), Abbaszadeh, Masoud (Autor), Siano, Pierluigi (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London, United Kingdom : The Institution of Engineering and Technology, 2022.
Colección:IET control, robotics and sensors series ; 133.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Rigatos, Gerasimos G.,  |d 1971-  |e author. 
245 1 0 |a Control and estimation of dynamical nonlinear and partial differential equation systems :  |b theory and applications /  |c Gerasimos Rigatos, Masoud Abbaszadeh and Pierluigi Siano. 
264 1 |a London, United Kingdom :  |b The Institution of Engineering and Technology,  |c 2022. 
264 4 |c ©2022 
300 |a 1 online resource :  |b illustrations. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a IET control, robotics and sensors series ;  |v 133 
504 |a Includes bibliographical references and index. 
588 0 |a Online resource; title from PDF title page (viewed July 8, 2022). 
520 |a Robotic and mechatronic systems, autonomous vehicles, electric power systems and smart grids, as well as manufacturing and industrial production systems can exhibit complex nonlinear dynamics or spatio-temporal dynamics which need to be controlled to ensure good functioning and performance. In this comprehensive reference, the authors present new and innovative control and estimation methods and techniques based on dynamical nonlinear and partial differential equation systems. Such results can be classified in five main domains for the control of complex nonlinear dynamical systems using respectively methods of approximate (local) linearization, methods of exact (global) linearization, Lyapunov stability approaches, control and estimation of distributed parameter systems and stochastic estimation and fault diagnosis methods. <italic>Control and Estimation of Dynamical Nonlinear and Partial Differential Equation Systems: Theory and applications</italic> will be of interest to electrical engineering, physics, computer science, robotics and mechatronics researchers and professionals working on control problems, condition monitoring, estimation and fault diagnosis and isolation problems. It will also be useful to skilled technical personnel working on applications in robotics, energy conversion, transportation and manufacturing. 
590 |a Knovel  |b ACADEMIC - General Engineering & Project Administration 
650 0 |a Control theory. 
650 0 |a Differentiable dynamical systems. 
650 0 |a Differential equations, Nonlinear. 
650 0 |a Differential equations, Partial. 
650 6 |a Théorie de la commande. 
650 6 |a Dynamique différentiable. 
650 6 |a Équations différentielles non linéaires. 
650 6 |a Équations aux dérivées partielles. 
650 7 |a Control theory  |2 fast 
650 7 |a Differentiable dynamical systems  |2 fast 
650 7 |a Differential equations, Nonlinear  |2 fast 
650 7 |a Differential equations, Partial  |2 fast 
700 1 |a Abbaszadeh, Masoud,  |e author. 
700 1 |a Siano, Pierluigi,  |e author. 
776 0 8 |i Print version:  |z 1839534265  |z 9781839534263  |w (OCoLC)1291369075 
830 0 |a IET control, robotics and sensors series ;  |v 133. 
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