recent advances nonlinear dynamics (77 Ergebnisse)

Hardcover/Pappeinband. Zustand: Gut. 206 S. Good condition. Ex library with stamps and back label. Additional cover foliation. Paper yellowish but clean. Sprache: Deutsch Gewicht in Gramm: 550.

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book of proceedings collects a selection of peer-reviewed articles pre sented at the DINIP 2000 National Workshop on Nonlinear Dynamics and Control in Process Engineering held in Rome (June 28-30, 2000) and orga nized by the Center on Disordered Systems and Fractals in Chemical Engi neering. This Conference was made possible by the logistic support of Uni versita La Sapienza in Rome, School of Engineering, and by the financial support from the Universita La Sapienza, Rome, Universita Federico II, Naples, and the PRIN 98 Project on Dynamic Optimization and Control of Chemical Processes, supervised by Prof. C. Scali of Universita di Pisa. The aim of this Workshop was to review the state of research underway in Italian academic departments on the application of dynamics and control in process engineering with a view to coordinating future activity and stimu lating a fruitful exchange of information with researchers involved in related fields such as system engineering, mathematics and physics. The result is a fairly broad examination of several classical and less clas sical applications. The article by Crescitelli provides an overview of several applications of dynamical analysis and non-linear system theory in process engmeenng.

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - In essence, the dynamics of real world systems (i.e. engineered systems, natural systems, social systesms, etc.) is nonlinear. The analysis of this nonlinear character is generally performed through both observational and modeling processes aiming at deriving appropriate models (mathematical, logical, graphical, etc.) to simulate or mimic the spatiotemporal dynamics of the given systems. The complex intrinsic nature of these systems (i.e. nonlinearity and spatiotemporal dynamics) can lead to striking dynamical behaviors such as regular or irregular, stable or unstable, periodicity or multi-periodicity, torus or chaotic dynamics. The various potential applications of the knowledge about such dynamics in technical sciences (engineering) are being intensively demonstrated by diverse ongoing research activities worldwide. However, both the modeling and the control of the nonlinear dynamics in a range of systems is still not yet well-understood (e.g. system models with time varying coefficients, immune systems, swarm intelligent systems, chaotic and fractal systems, stochastic systems, self-organized systems, etc.). This is due amongst others to the challenging task of establishing a precise and systematic fundamental or theoretical framework (e.g. methods and tools) to analyze, understand, explain and predict the nonlinear dynamical behavior of these systems, in some cases even in real-time. The full insight in systems' nonlinear dynamic behavior is generally achieved through approaches involving analytical, numerical and/or experimental methods.