Templates for the solution of algebraic eigenvalue problems: a practical guide
Templates for the solution of algebraic eigenvalue problems: a practical guide
Brief paper: On the V-stability of complex dynamical networks
Automatica (Journal of IFAC)
Global robust stability and synchronization of networks with Lorenz-type nodes
IEEE Transactions on Circuits and Systems II: Express Briefs
Automatica (Journal of IFAC)
Evolution of complex networks via edge snapping
IEEE Transactions on Circuits and Systems Part I: Regular Papers
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Synchronization and control of complex networks via contraction, adaptation and evolution
IEEE Circuits and Systems Magazine - Special issue on complex networks applications in circuits and systems
Control and flocking of networked systems via pinning
IEEE Circuits and Systems Magazine - Special issue on complex networks applications in circuits and systems
Brief paper: Design of highly synchronizable and robust networks
Automatica (Journal of IFAC)
On pinning synchronization of directed and undirected complex dynamical networks
IEEE Transactions on Circuits and Systems Part I: Regular Papers
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In this paper, we study pinning-controllability of networks of coupled dynamical systems. In particular, we study the problem of asymptotically driving a network of coupled identical oscillators onto some desired common reference trajectory by actively controlling only a limited subset of the whole network. The reference trajectory is generated by an exogenous independent oscillator, and pinned nodes are coupled to it through a linear state feedback. We describe the time evolution of the complex dynamical system in terms of the error dynamics. Thereby, we reformulate the pinning-controllability problem as a global asymptotic stability problem. By using Lyapunov-stability theory and algebraic graph theory, we establish tractable sufficient conditions for global pinning-controllability in terms of the network topology, the oscillator dynamics, and the linear state feedback.