This article attempts to address output synchronization and output synchronization problems
for multiple output coupled complex networks (MOCCNs) under proportional-derivative (PD) …

This article proposes new inverse reinforcement learning (RL) algorithms to solve our
defined Adversarial Apprentice Games for nonlinear learner and expert systems. The games …

This article proposes robust inverse-learning algorithms for a learner to mimic an expert's
states and control inputs in the imitation learning problem. These two agents have different …

This article addresses the tracking control problem of multiagent systems (MASs) with
unknown dynamics. First, by designing a compensator, an augmented neighborhood error …

This article proposes a novel robust control design for mechanical systems based on
constraint following and multivariable optimization. The state of the concerned system is …

Many shortcomings of chaos-based applications stem from the weak dynamic properties of
the chaotic maps they use. To alleviate this problem, inspired by the buffeting effect in …

The pinning synchronization scheme is investigated for stochastic multi-layer networks
under the intra-layer coupling disturbance and stochastic noise. To save the control cost, a …

A new approach for trajectory tracking on uncertain complex networks is proposed. To
achieve this goal, a neural controller is applied to a small fraction of nodes (pinned ones) …

Application of generalized inverses in solving the inverse model control (IMC)-oriented
minimum-energy perfect control design (PCD) problem for linear time-invariant multi …

Dynamical systems coupled in the form of a complex networks have been exploited for
modeling numerous real-world distributed systems. Due to the decentralized nature of …