Formation control of multiple underwater robots based on ADMM distributed model predictive control

Extended-state-observer-based distributed model predictive formation control of under-actuated unmanned surface vehicles with collision avoidance

(2021) Guanghao Lv et al.   OCEAN ENGINEERING

MPC-based 3-D trajectory tracking for an autonomous underwater vehicle with constraints in complex ocean environments

(2019) Yongding Zhang et al.   OCEAN ENGINEERING

Adaptive Leader–Follower Formation Control of Nonholonomic Mobile Robots With Prescribed Transient and Steady-State Performance

(2019) Shi-Lu Dai et al.   IEEE Transactions on Industrial Informatics

An Autonomous Underwater Vehicle Data-Driven Control Strategy for Target Tracking

(2018) Gabriele Ferri et al.   IEEE JOURNAL OF OCEANIC ENGINEERING

ADMM Based Privacy-preserving Decentralized Optimization

(2018) Chunlei Zhang et al.   IEEE Transactions on Information Forensics and Security

Formation Control of Multiple Mobile Robots Incorporating an Extended State Observer and Distributed Model Predictive Approach

(2018)   IEEE Transactions on Systems Man Cybernetics-Systems

Decentralized behavior-based formation control of multiple robots considering obstacle avoidance

(2017) Giroung Lee et al.   Intelligent Service Robotics

Leader–Follower Formation and Tracking Control of Mobile Robots Along Straight Paths

(2016) Antonio Loria et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

Formation Control of Leader–Follower Mobile Robots’ Systems Using Model Predictive Control Based on Neural-Dynamic Optimization

(2016) Hanzhen Xiao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Distributed model predictive control for multi-agent flocking via neighbor screening optimization

(2016) Lifeng Zhou et al.   INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL

A backstepping approach for the formation control of multiple autonomous underwater vehicles using a leader–follower strategy

(2016) Raja Rout et al.   Journal of Marine Engineering and Technology

Learning in Centralized Nonlinear Model Predictive Control: Application to an Autonomous Tractor-Trailer System

(2015) Erkan Kayacan et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

Distributed aperiodic model predictive control for multi-agent systems

(2015) Kazumune Hashimoto et al.   IET Control Theory and Applications

Handling communication disruptions in distributed model predictive control

(2010) Mohsen Heidarinejad et al.   JOURNAL OF PROCESS CONTROL