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Systems theory : perspectives, applications and developments /

Systems Theory is a transdisciplinary field that involves complex combinations of different research fields with the purpose to explain the observed natural phenomena in the world around us. This field results in the appearance of the General System Theory. The aim of the present book is to present...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Miranda, Francisco, 1975- (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York : Nova Publishers, [2014]
Colección:Systems science series.
Temas:
Acceso en línea:Texto completo

MARC

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520 |a Systems Theory is a transdisciplinary field that involves complex combinations of different research fields with the purpose to explain the observed natural phenomena in the world around us. This field results in the appearance of the General System Theory. The aim of the present book is to present some of what is being done, in the 21st century, in different fields that comprise the Systems Theory. In the several chapters of this book developments of this theory are presented with the aim to solve different problems of systems. Different areas are covered, from biology and psychology to elect. 
505 0 |a SYSTEMS THEORY: PERSPECTIVES, APPLICATIONS AND DEVELOPMENTS; SYSTEMS THEORY: PERSPECTIVES, APPLICATIONS AND DEVELOPMENTS; LIBRARY OF CONGRESS CATALOGING-IN-PUBLICATION DATA; CONTENTS; PREFACE; Chapter 1: FROM GENERAL SYSTEM THEORY TO SYNTHETIC AND SYSTEMS BIOLOGY: A HISTORICO-PHILOSOPHICAL PERSPECTIVE; Abstract; 1. Introduction; 2. Bertalanffy's GST and OrgB; 3. Contemporary Biology; 4. Integrating Contemporary Biology; Conclusion; References; Chapter 2: FROM SYSTEMS BIOLOGY TO SYSTEMS THEORY OF BIPOLAR DISORDER; Abstract; 1. Introduction. 
505 8 |a 2. Systems Biology Perspective of Mood Cycling in Bipolar Disorder: The Cellular-Neural-Emotional System3. Order Parameter Model of BD-Development, BD-Treatment and Relapse: Emotion-Action Coupling; 4. Systems Theory Perspective of BD-Development, BD-Treatment and Relapse: Social Mediators of Emotion-Action Coupling Predicted by the Order ParameterModel; References; Chapter 3: EXPERIENTIAL LEARNING OF THE UNIFYING PRINCIPLES OF SCIENCE THROUGH PHYSICAL ACTIVITIES; Abstract; 1. Introduction; 2. The Growing Coherence of Explanatory Patterns in Science -But Not in Science Education Textbooks. 
505 8 |a 3. Towards an Experientially-Grounded Learning of DSSP Concepts4. Experientally-Grounded Learning of DSSP Concepts through Physical Activities; Conclusion; Acknowledgments; References; Chapter 4: EVENT-TRIGGERED CONTROL OF NONLINEAR SYSTEMS: A SMALL-GAIN APPROACH; Abstract; 1. Introduction; 2. Preliminaries; 3. An ISS Gain Condition for Event-Triggered Control; 4. Event-Triggered Control and Self-Triggered Control in the Presence of External Disturbances; 5. Event-Triggered Control of Nonlinear Uncertain Systems; Conclusion; References. 
505 8 |a Chapter 5: TRANSIENT GROWTH QUANTIFICATION IN LINEAR CONTROL SYSTEMS: NEW RESULTSAbstract; 1. Introduction; 2. Auxiliary Results; 3. Main Result; Acknowledgments; References; Chapter 6: OPTIMAL CONTROL AND NUMERICAL SOFTWARE: AN OVERVIEW; Abstract; 1. Introduction; 2. Optimal Control Problems; 3. Numerical Methods to Solve Optimal Control Problems; Conclusion; Acknowledgments; References; Chapter 7: INFINITELY MANY HOMOCLINIC ORBITS FOR A CLASS OF SUPERQUADRATIC HAMILTONIAN SYSTEMS; Abstract; 1. Introduction and Main Result; 2. Preliminary Results; 3. Proof of Theorem 1.1; References. 
505 8 |a Chapter 8: AUGMENTED VALIDATION AND A STABILIZATION APPROACH FOR SYSTEMS WITH PROPAGATIONAbstract; 1. Introduction; Generalized Principle of HamiltonThe variational principle of; 3. An Approach to the Basic Theory; 4. Inherent Stability and Stabilization; 5. Invariant Sets and Their Role. An Application from Power Engineering; 6. Final Remarks and Open Problems; References; Chapter 9: PROVIDING QOS IN WIRELESS SENSOR NETWORKS: A SYSTEM OVERVIEW; Abstract; 1. Introduction; 2. Quality of Service Provision in Wireless Sensor Networks; 3. QoS across the Communication Stack. 
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