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Dive into the research topics where Jinhu Lü is active.

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Featured researches published by Jinhu Lü.


International Journal of Bifurcation and Chaos | 2002

A NEW CHAOTIC ATTRACTOR COINED

Jinhu Lü; Guanrong Chen

This letter reports the finding of a new chaotic attractor in a simple three-dimensional autonomous system, which connects the Lorenz attractor and Chens attractor and represents the transition from one to the other.


IEEE Transactions on Automatic Control | 2005

A time-varying complex dynamical network model and its controlled synchronization criteria

Jinhu Lü; Guanrong Chen

Today, complex networks have attracted increasing attention from various fields of science and engineering. It has been demonstrated that many complex networks display various synchronization phenomena. In this note, we introduce a time-varying complex dynamical network model. We then further investigate its synchronization phenomenon and prove several network synchronization theorems. Especially, we show that synchronization of such a time-varying dynamical network is completely determined by the inner-coupling matrix, and by the eigenvalues and the corresponding eigenvectors of the coupling configuration matrix of the network.


Automatica | 2009

Brief paper: On pinning synchronization of complex dynamical networks

Wenwu Yu; Guanrong Chen; Jinhu Lü

There exist some fundamental and yet challenging problems in pinning control of complex networks: (1) What types of pinning schemes may be chosen for a given complex network to realize synchronization? (2) What kinds of controllers may be designed to ensure the network synchronization? (3) How large should the coupling strength be used in a given complex network to achieve synchronization? This paper addresses these technique questions. Surprisingly, it is found that a network under a typical framework can realize synchronization subject to any linear feedback pinning scheme by using adaptive tuning of the coupling strength. In addition, it is found that the nodes with low degrees should be pinned first when the coupling strength is small, which is contrary to the common view that the most-highly-connected nodes should be pinned first. Furthermore, it is interesting to find that the derived pinning condition with controllers given in a high-dimensional setting can be reduced to a low-dimensional condition without the pinning controllers involved. Finally, simulation examples of scale-free networks are given to verify the theoretical results.


International Journal of Bifurcation and Chaos | 2002

BRIDGE THE GAP BETWEEN THE LORENZ SYSTEM AND THE CHEN SYSTEM

Jinhu Lü; Guanrong Chen; Daizhan Cheng; Sergej Celikovsky

This paper introduces a unified chaotic system that contains the Lorenz and the Chen systems as two dual systems at the two extremes of its parameter spectrum. The new system represents the continued transition from the Lorenz to the Chen system and is chaotic over the entire spectrum of the key system parameter. Dynamical behaviors of the unified system are investigated in somewhat detail.


IEEE Transactions on Automatic Control | 2006

Adaptive synchronization of an uncertain complex dynamical network

Jin Zhou; Jun-an Lu; Jinhu Lü

This note further investigates the locally and globally adaptive synchronization of an uncertain complex dynamical network. Several network synchronization criteria are deduced. Especially, our hypotheses and designed adaptive controllers for network synchronization are rather simple in form. It is very useful for future practical engineering design. Moreover, numerical simulations are also given to show the effectiveness of our synchronization approaches.


Automatica | 2008

Pinning adaptive synchronization of a general complex dynamical network

Jin Zhou; Jun-an Lu; Jinhu Lü

There are two challenging fundamental questions in pinning control of complex networks: (i) How many nodes should a network with fixed network structure and coupling strength be pinned to reach network synchronization? (ii) How much coupling strength should a network with fixed network structure and pinning nodes be applied to realize network synchronization? To fix these two questions, we propose a general complex dynamical network model and then further investigate its pinning adaptive synchronization. Based on this model, we attain several novel adaptive synchronization criteria which indeed give the positive answers to these two questions. That is, we provide a simply approximate formula for estimating the detailed number of pinning nodes and the magnitude of the coupling strength for a given general complex dynamical network. Here, the coupling-configuration matrix and the inner-coupling matrix are not necessarily symmetric. Moreover, our pinning adaptive controllers are rather simple compared with some traditional controllers. A Barabasi-Albert network example is finally given to show the effectiveness of the proposed synchronization criteria.


IEEE Transactions on Circuits and Systems I-regular Papers | 2004

Characterizing the synchronizability of small-world dynamical networks

Jinhu Lü; Xinghuo Yu; Guanrong Chen; Daizhan Cheng

Many real-world complex networks display a small-world feature-a high degree of clustering and a small average distance. We show that the maximum synchronizability of a network is completely determined by its associated feedback system, which has a precise meaning in terms of synchronous communication. We introduce a new concept of synchronizability matrix to characterize the maximum synchronizability of a network. Several new concepts, such as sensitive edge and robust edge, are proposed for analyzing the robustness and fragility of synchronization of a network. Using the knowledge of synchronizability, we can purposefully increase the robustness of the network synchronization and prevent it from attacks. Some applications in small-world networks are also discussed briefly.


Chaos Solitons & Fractals | 2002

Synchronization of an uncertain unified chaotic system via adaptive control

Shihua Chen; Jinhu Lü

Abstract A new adaptive control method is proposed for adaptive synchronization of two uncertain chaotic systems, using a specific uncertain unified chaotic model as an example for illustration.


International Journal of Bifurcation and Chaos | 2006

GENERATING MULTISCROLL CHAOTIC ATTRACTORS: THEORIES, METHODS AND APPLICATIONS

Jinhu Lü; Guanrong Chen

Over the last two decades, theoretical design and circuit implementation of various chaos generators have been a focal subject of increasing interest due to their promising applications in various ...


Siam Journal on Applied Dynamical Systems | 2008

Global Synchronization of Linearly Hybrid Coupled Networks with Time-Varying Delay

Wenwu Yu; Jinde Cao; Jinhu Lü

Many real-world large-scale complex networks demonstrate a surprising degree of synchronization. To unravel the underlying mechanics of synchronization in these complex networks, a generally linearly hybrid coupled network with time-varying delay is proposed, and its global synchronization is then further investigated. Several effective sufficient conditions of global synchronization are attained based on the Lyapunov function and a linear matrix inequality (LMI). Both delay-independent and delay-dependent conditions are deduced. In particular, the coupling matrix may be nonsymmetric or nondiagonal. Moreover, the derivative of the time-varying delay is extended to any given value. Finally, a small-world network, a regular network, and scale-free networks with network size are constructed to show the effectiveness of the proposed synchronous criteria.

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Guanrong Chen

City University of Hong Kong

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Simin Yu

Guangdong University of Technology

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Yao Chen

Hong Kong Polytechnic University

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Wenwu Yu

Southeast University

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