An improved predefined-time adaptive neural control approach for nonlinear multiagent systems

Y Pan, W Ji, HK Lam, L Cao - IEEE Transactions on Automation …, 2023 - ieeexplore.ieee.org
This paper focuses on the predefined-time adaptive neural tracking control problem for
nonlinear multiagent systems (MASs). In contrast to the existing results of the predefined …

Adaptive fault-tolerant control-based real-time reachable set synthesis of heterogeneous nonlinear singular multiagent systems with uncertain parameters

L Zhang, X Zhang, X Chang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This paper concentrates on the real-time reachable set synthesis of heterogeneous
nonlinear singular multiagent systems with uncertain parameters based on adaptive fault …

Reinforcement learning-based decentralized control for networked interconnected systems with communication and control constraints

J Liu, N Zhang, L Zha, X Xie… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This paper investigates the optimal decentralized control issue for a class of networked
interconnected systems (NISs) under communication and control constraints. First of all, the …

Event-triggered adaptive bipartite secure consensus asymptotic tracking control for nonlinear mass subject to dos attacks

X Wang, J Na, B Niu, X Zhao, T Cheng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This paper proposes an adaptive bipartite secure consensus asymptotic tracking control
scheme based on event-triggered strategy for the nonlinear multi-agent systems (MASs) …

Adaptive finite-time consensus tracking control for nonlinear multi-agent systems: An improved tan-type nonlinear mapping function method

Z Shang, Y Jiang, B Niu, G Zong… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This paper investigates the adaptive finite-time consensus tracking control problem for a
class of nonlinear nonstrict-feedback multi-agent systems (MASs) with output constraints …

Data-driven optimal output cluster synchronization control of heterogeneous multi-agent systems

H Li, Q Wei - IEEE Transactions on Automation Science and …, 2023 - ieeexplore.ieee.org
This paper presents a novel data-driven optimal output cluster synchronization control
method for heterogeneous multi-agent systems with disturbances based on adaptive …

Dynamic periodic event-triggered control for networked control systems under packet dropouts

C Li, X Zhao, M Chen, W Xing, N Zhao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article presents a co-design method of dynamic periodic event-triggering mechanism
(DPETM) and output-based control law for networked control systems (NCSs) subject to …

Output consensus control of multi-agent systems with switching networks and incomplete leader measurement

J Sun, J Zhang, L Liu, Y Wu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article investigates an output consensus control problem for heterogeneous multi-agent
systems with switching disconnected networks. As compared to similar works, each follower …

Resilient fuzzy control synthesis of nonlinear DC microgrid via a time-constrained DoS attack model

F Yang, S Hu, X Xie, D Yue… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this article, the exponential stability (ES) and fuzzy control problem is addressed for DC
microgrid (DC-MG) system based on TS fuzzy model under denial-of-service (DoS) attacks …

A novel asymptotic robust tracking control strategy for rotorcraft UAVs

X Zhang, Y Zhuang, X Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article proposes a novel asymptotic robust control approach for rotorcraft unmanned
aerial vehicles (UAVs), which can effectively eliminate the impact of external disturbances …