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portada Nonlinear Systems: Dynamics, Control, Optimization and Applications to the Science and Engineering, 2nd Edition
Type
Physical Book
Publisher
Author
Language
English
Pages
372
Format
Hardcover
ISBN13
9783725830619

Nonlinear Systems: Dynamics, Control, Optimization and Applications to the Science and Engineering, 2nd Edition

Zhu Quanxin (Author) · Mdpi Ag · Hardcover

Nonlinear Systems: Dynamics, Control, Optimization and Applications to the Science and Engineering, 2nd Edition - Zhu Quanxin

New Book Imported to Netherlands
Delivery: 09 Sep - 11 Sep Shipping: 5 to 6 business days.
€ 104,76
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Synopsis "Nonlinear Systems: Dynamics, Control, Optimization and Applications to the Science and Engineering, 2nd Edition"

Open Mathematics is a challenging notion for theoretical modeling, technical analysis, and numerical simulation in the fields of physics and mathematics, among others, as highly correlated nonlinear phenomena, evolving over a large range of time and length scales, control the underlying systems and processes in their spatiotemporal evolution. Indeed, available data, be they physical, biological, or financial, and technologically complex systems and stochastic systems, such as mechanical or electronic devices, can be managed from the same conceptual approach, both analytically and through computer simulation, using effective nonlinear dynamics methods.The aim of this Special Issue is to highlight papers that show the dynamics, control, optimization, and applications of nonlinear systems. This has recently become an increasingly popular subject, with impressive growth concerning applications in engineering, economics, biology, and medicine, and can be considered a veritable contribution to the literature. Original papers relating to the objective presented above are especially welcome subjects.Potential topics include, but are not limited to, the following: Stability analysis of discrete and continuous dynamical systems; Nonlinear dynamics in biological complex systems; Stability and stabilization of stochastic systems; Mathematical models in statistics and probability; Synchronization of oscillators and chaotic systems; Optimization methods of complex systems; Reliability modeling and system optimization; Computation and control over networked systems.

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