Jinhu Lu

TL;DR: This paper proposes a module-based and unified approach to chaotic circuit design, where the description is based on the state equations without physical dimensions for simplicity of a general discussion.

TL;DR: A new way to reconstruct the structures of continuously time-varying and state-dependent networks by reconstructing the Taylor expansion coefficients of couplings by integrating each component’s information of a high-dimensional node is developed.

TL;DR: The aim of this paper is to introduce the special session on Recent Advances in Complex Networks: Theories and Applications at ISCAS 2010 by giving a brief outline of the subject and presenting some recent advances in a field of interest, i.e., Control and Synchronization of Complex Networks, with special attention to adaptive synchronization and control strategies.

TL;DR: This mini-review paper introduces the special session that deals with theory and applications of complex networks and provides brief review of their advances and challenges.

TL;DR: An effective distributed adaptive strategy on the control gains is developed for reaching consensus based only on local information of the network structure for multi-agent systems with second-order nonlinear dynamics.