TY - BOOK
AU - Ivancevic,Vladimir G.
AU - Ivancevic,Tijana T.
ED - SpringerLink (Online service)
TI - Geometrical Dynamics of Complex Systems: A Unified Modelling Approach to Physics, Control, Biomechanics, Neurodynamics and Psycho-Socio-Economical Dynamics
T2 - Microprocessor-Based and Intelligent Systems Engineering
SN - 9781402045455
AV - TA329-348
U1 - 519 23
PY - 2006///
CY - Dordrecht
PB - Springer Netherlands
KW - Engineering
KW - Systems theory
KW - Mathematical physics
KW - Physics
KW - Engineering mathematics
KW - Biomedical engineering
KW - Appl.Mathematics/Computational Methods of Engineering
KW - Systems Theory, Control
KW - Mathematical Methods in Physics
KW - Complexity
KW - Biomedical Engineering
N1 - From the contents Modern Geometrical Machinery -- Introduction -- Smooth Manifolds -- Fibre Bundles -- Jet Spaces -- Path Integrals: Extending Smooth Geometrical Machinery -- Dynamics of High -Dimensional Nonlinear Systems -- Mechanical Systems. Physical Field Systems -- Nonlinear Control Systems -- Human - Like Biomechanics -- Neurodynamics -- Psycho -Socio - Economic Dynamics -- Appendix: Tensors and Functors -- Elements of Classical Tensor Analysis -- Categories and Functors -- References -- Index
N2 - Geometrical Dynamics of Complex Systems is a graduate–level monographic textbook. Itrepresentsacomprehensiveintroductionintorigorousgeometrical dynamicsofcomplexsystemsofvariousnatures. By‘complexsystems’,inthis book are meant high–dimensional nonlinear systems, which can be (but not necessarily are) adaptive. This monograph proposes a uni?ed geometrical - proachtodynamicsofcomplexsystemsofvariouskinds:engineering,physical, biophysical, psychophysical, sociophysical, econophysical, etc. As their names suggest, all these multi–input multi–output (MIMO) systems have something in common: the underlying physics. However, instead of dealing with the pop- 1 ular ‘soft complexity philosophy’, we rather propose a rigorous geometrical and topological approach. We believe that our rigorous approach has much greater predictive power than the soft one. We argue that science and te- nology is all about prediction and control. Observation, understanding and explanation are important in education at undergraduate level, but after that it should be all prediction and control. The main objective of this book is to show that high–dimensional nonlinear systems and processes of ‘real life’ can be modelled and analyzed using rigorous mathematics, which enables their complete predictability and controllability, as if they were linear systems. It is well–known that linear systems, which are completely predictable and controllable by de?nition – live only in Euclidean spaces (of various - mensions). They are as simple as possible, mathematically elegant and fully elaborated from either scienti?c or engineering side. However, in nature, no- ing is linear. In reality, everything has a certain degree of nonlinearity, which means: unpredictability, with subsequent uncontrollability
UR - http://dx.doi.org/10.1007/1-4020-4545-X
ER -