Titlebook: Chaos Control; Theory and Applicati Guanrong Chen,Xinghuo Yu Book 2003 Springer-Verlag Berlin Heidelberg 2003 Chaos Anti-Control.Chaos Sync

Arboreal

Judicious

Control of Chaos Statistics for Optimization of DS-CDMA Systems,tion quality for several scenarios. We here briefly review the main steps in this derivation and report the corresponding theoretical prediction. In particular we show that the use of the so-called statistical approach to the study of a chaotic dynamical system allows to characterize and control the

hematuria

EXCEL

Control of Chaos Statistics for the Generation of Timing Signals with Improved EMC,als widely employed in digital circuits, or the control pulse-trains used in switching power converters. We here focus on the methodologies where electromagnetic compatibility is enhanced by means of . rather than relying on shields and filtered cables and connectors. More specifically, the introduc

dainty

Odd Number Limitation in Delayed Feedback Control,inal DFC restricts the application to a special class of chaotic systems. So far, various methods have been developed to overcome the limitation. In this chapter, we show their key concepts to solve the problem.

中古

synchronous

Neural Network Design for Chaos Synchronization,rrent neural networks and inverse optimal control for nonlinear systems. On the basis of the last technique, chaos is first produced by a stable recurrent neural network; an adaptive recurrent neural controller is then developed for chaos synchronization.

擁護(hù)

Chaotification via Feedback: The Discrete Case,c, or to enhance the existing chaos of a chaotic system, via feedback control techniques. Only the discrete case is discussed in detail. A basic and yet “universal” approach to discrete chaotification is described, with a simple example worked out in a step-by-step fashion for illustration.

Prosaic

亂砍