Clustering strategies are becoming increasingly relevant to boost the scalability of
distributed control methods by focusing the cooperation efforts on highly coupled agents …

This work investigates design problem of the hybrid‐triggered‐based resilient controller for a
class of Takagi–Sugeno (T‐S) fuzzy systems subject to nondeterministic cyber‐attacks …

This article develops a robust packetized predictive control framework to deal with the
quantized-feedback control problem of networked systems subject to Markovian packet …

A non-fragile robust model predictive control (RMPC) is designed in the uncertain systems
under bounded control signals. To this aim, a class of the nonlinear systems with additive …

This article is concerned with the stabilization problem for a class of networked systems
subject to successive packet losses. Different from the input delay approach used in some …

This article describes a control approach for large‐scale electricity networks, with the goal of
efficiently coordinating distributed generators to balance unexpected load variations with …

Quantized antidisturbance control design problem is presented for a class of interval type-2
(IT2) fuzzy stochastic systems subject to time delays and multiple disturbances. The inherent …

This paper addresses a non-fragile robust model predictive control design for a class of
continuous-time uncertain systems with multiple state-delay and constrained control signals …

This paper studies the density regulation problem for a large-scale robotic swarm with
homogeneous agents. A novel robust model predictive mean-field control method is …

This article investigates the issue of quantized guaranteed-cost dynamic-output-feedback
control for uncertain-nonlinear NCSs with DoS attacks. Firstly, the interval-type-2 Takagi …