Robust fault detection and adaptive fixed-time fault-tolerant control for quadrotor UAVs
M Mazare, M Taghizadeh, P Ghaf-Ghanbari… - Robotics and …, 2024 - Elsevier
This note scrutinizes an adaptive fault-tolerant control (FTC) approach tailored for
unmanned aerial vehicles (UAVs), addressing the critical need for both fault accommodation …
unmanned aerial vehicles (UAVs), addressing the critical need for both fault accommodation …
Distributed adaptive fault tolerant formation control for multiple underwater vehicles: Free-will arbitrary time approach
M Mazare - Ocean Engineering, 2023 - Elsevier
This note examines the distributed free-will arbitrary time (FwAT) fault-tolerant formation
control for heterogeneous multiple autonomous underwater vehicles (AUVs) operating …
control for heterogeneous multiple autonomous underwater vehicles (AUVs) operating …
Robust cooperative output regulation for heterogeneous nonlinear multi-agent systems with an unknown exosystem subject to jointly connected switching networks
This paper investigates the robust cooperative output regulation problem for heterogeneous
lower triangular nonlinear multi-agent systems with an unknown exosystem over jointly …
lower triangular nonlinear multi-agent systems with an unknown exosystem over jointly …
Formation tracking control for networked heterogeneous MSV systems with actuator faults: A distributed optimal event-triggered fixed-time sliding mode fault-tolerant …
S Wang, M Zhu, Y Wen, W Sun, W Zhang, T Lei - Ocean Engineering, 2024 - Elsevier
This paper studies the formation tracking problem in networked heterogeneous marine
surface vessel systems (NHMSVs) subject to model perturbations, marine environmental …
surface vessel systems (NHMSVs) subject to model perturbations, marine environmental …
A multi-task fusion strategy-based decision-making and planning method for autonomous driving vehicles
W Liu, Z **ang, H Fang, K Huo, Z Wang - Sensors, 2023 - mdpi.com
The autonomous driving technology based on deep reinforcement learning (DRL) has been
confirmed as one of the most cutting-edge research fields worldwide. The agent is enabled …
confirmed as one of the most cutting-edge research fields worldwide. The agent is enabled …
Air–ground coordinated unmanned swarm systems: A multitasking framework for control design
X Wang, H Wang, Q Sun, YH Chen - ISA transactions, 2024 - Elsevier
An air–ground heterogeneous unmanned swarm system coordination is considered. The
system consists of N unmanned aerial vehicles (UAVs) and one unmanned ground vehicle …
system consists of N unmanned aerial vehicles (UAVs) and one unmanned ground vehicle …
A LSSVR Interactive Network for AUV Motion Control
C Jiang, L Wan, H Zhang, J Tang, J Wang, S Li… - Journal of Marine …, 2023 - mdpi.com
In view of the requirements on control precision of autonomous underwater vehicles (AUVs)
in different operations, the improvement of AUV motion control accuracy is the focus of this …
in different operations, the improvement of AUV motion control accuracy is the focus of this …
High-speed multihull anti-pitching control based on heave velocity and pitch angular velocity estimation
W Li, J Zhang, W Xu - ISA transactions, 2024 - Elsevier
This paper proposes a novel anti-pitching control algorithm based on algebraic model
predictive control (AMPC) for high-speed multihull, in which the heave velocity and pitch …
predictive control (AMPC) for high-speed multihull, in which the heave velocity and pitch …
Robust fixed-order H∞ controller synthesis for multi-phase converters with input voltage feed-forward
Generated DC voltages of batteries, fuel cells, or supercapacitors as power sources
connected in series with DC-DC converters change according to operating conditions. In …
connected in series with DC-DC converters change according to operating conditions. In …
A cognitive environment modeling approach for autonomous vehicles: a Chinese experience
R Chen, J Hu, X Zhong, M Zhang, L Zhu - Applied Sciences, 2023 - mdpi.com
Existing environment modeling approaches and trajectory planning approaches for
intelligent vehicles are difficult to adapt to multiple scenarios, as scenarios are diverse and …
intelligent vehicles are difficult to adapt to multiple scenarios, as scenarios are diverse and …