scholarly journals Sensitive dependence on parameters of continuous-time nonlinear dynamical systems

2017 ◽  
Vol 99 ◽  
pp. 16-19
Author(s):  
E.S. Medeiros ◽  
I.L. Caldas ◽  
M.S. Baptista
2014 ◽  
Vol 24 (07) ◽  
pp. 1430020 ◽  
Author(s):  
Paulo C. Rech

We investigate periodicity suppression in two-dimensional parameter-spaces of discrete- and continuous-time nonlinear dynamical systems, modeled respectively by a two-dimensional map and a set of three first-order ordinary differential equations. We show for both cases that, by varying the amplitude of an external periodic forcing with a fixed angular frequency, windows of periodicity embedded in a chaotic region may be totally suppressed.


Author(s):  
Wassim M. Haddad ◽  
Sergey G. Nersesov

This chapter extends classical dissipativity theory to vector dissipativity for addressing large-scale continuous-time interconnected dynamical systems using vector storage functions and vector supply rates. In particular, it develops an energy flow modeling framework for large-scale dynamical systems based on vector dissipativity notions. Using vector storage functions and vector supply rates, the chapter shows that the dissipativity properties of a composite large-scale system are determined from the dissipativity properties of the subsystems and their interconnections. It also derives extended Kalman–Yakubovich–Popov equations, in terms of the subsystem dynamics and interconnection constraints, characterizing vector dissipativeness via vector system storage functions. In addition, feedback interconnection stability results are developed for large-scale nonlinear dynamical systems using vector Lyapunov functions. These results are specialized to passive and nonexpansive large-scale dynamical systems.


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