The book conclusively solves problems associated with the control and estimation of nonlinear and chaotic dynamics in ¿nancial systems when these are described in the form of nonlinear ordinary di¿erential equations. It then addresses...

This monograph presents recent advances in differential flatness theory and analyzes its use for nonlinear control and estimation. It shows how differential flatness theory can provide solutions to complicated control problems, such as...

"Advanced Models of Neural Networks: Nonlinear Dynamics and Stochasticity in Biological Neurons" von Gerasimos G. Rigatos bietet eine umfassende Untersuchung der fortgeschrittenen Modelle neuronaler Netzwerke mit einem besonderen Fokus...