Network systems consist of subsystems and their interconnections and provide a powerful
framework for the analysis, modeling, and control of complex systems. However, subsystems …

This paper deals with suboptimal distributed H 2 control by dynamic output feedback for
homogeneous linear multi-agent systems. Given a linear multi-agent system, together with …

A new method for data-driven interpolatory model reduction for discrete-time systems is
presented in this paper. Using the so-called data informativity perspective, we define a …

Large-scale network systems describe a wide class of complex dynamical systems
composed of many interacting subsystems. A large number of subsystems and their high …

Modeling of dynamical systems is at the core of the simulation and controller design of
modern technological products and processes. Due to the ever-increasing demand for …

This paper provides an analysis of uncertain discrete-time negative imaginary and positive
real systems with state-space symmetry. First, a necessary and sufficient condition is …

A method for data-driven interpolatory model reduction is presented in this extended
abstract. This framework enables the computation of the transfer function values at given …

Abstract Design of distributed protocols for multi-agent systems has received extensive
attention in the past two decades. A challenging problem in this context is to develop …

This thesis considers two important problems in the theory of networked multi-agent
systems: the problem of robust consensus and synchronization and the problem of model …

This paper investigates the finite-time stabilization for networked control systems with hybrid
triggered scheme and denial-of-service (DoS) attacks. For the sake of achieving efficient …