Robust pinning control of heterogeneous complex networks with jointly connected topologies and time-varying parametric uncertainty. Issue 5 (4th May 2018)

• Record Type: Journal Article
• Authors: Manfredi, Sabato
• Is Part Of: International journal of control. Volume 91:Issue 5(2018)
• Page Start: 1183
• Page End: 1194
• Publication Date: 2018-05-04
• Subjects: Robust pinning control -- heterogeneous complex networks -- jointly connected topologies -- time-varying complex networks; Automatic control -- Periodicals; Electronic journals; 629.8
• DOI: 10.1080/00207179.2017.1311027
• Languages: English
• ISSNs: 0020-7179

Abstract

ABSTRACT: The pinning/leader control problems provide the design of the leader or pinning controller in order to guide a complex network to a desired trajectory or target (synchronisation or consensus). Let a time-invariant complex network, pinning/leader control problems include the design of the leader or pinning controller gain and number of nodes to pin in order to guide a network to a desired trajectory (synchronization or consensus). Usually, lower is the number of pinned nodes larger is the pinning gain required to assess network synchronisation. On the other side, realistic application scenario of complex networks is characterised by switching topologies, time-varying node coupling strength and link weight that make hard to solve the pinning/leader control problem. Additionally, the system dynamics at nodes can be heterogeneous. In this paper, we derive robust stabilisation conditions of time-varying heterogeneous complex networks with jointly connected topologies when coupling strength and link weight interactions are affected by time-varying uncertainties. By employing Lyapunov stability theory and linear matrix inequality (LMI) technique, we formulate low computationally demanding stabilisability conditions to design a pinning/leader control gain for robust network synchronisation. The effectiveness of the proposed approach is shown by several design examples applied to a paradigmatic well-known complex network composed of heterogeneous Chua's circuits.