Velocity Free Platoon Formation Control for Unmanned Surface Vehicles with Output Constraints and Model Uncertainties
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Velocity Free Platoon Formation Control for Unmanned Surface Vehicles with Output Constraints and Model Uncertainties
Authors
Keywords
-
Journal
Applied Sciences-Basel
Volume 10, Issue 3, Pages 1118
Publisher
MDPI AG
Online
2020-02-08
DOI
10.3390/app10031118
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Observer-based finite-time fuzzy adaptive control for MIMO non-strict feedback nonlinear systems with errors constraint
- (2019) Kewen Li et al. NEUROCOMPUTING
- Adaptive Sliding Mode Trajectory Tracking Control for Unmanned Surface Vehicle with Modeling Uncertainties and Input Saturation
- (2019) Bingbing Qiu et al. Applied Sciences-Basel
- Event-Triggered H∞ Depth Control of Remotely Operated Underwater Vehicles
- (2019) Yazdan Batmani et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Estimate-Based Dynamic Event-Triggered Output Feedback Control of Networked Nonlinear Uncertain Systems
- (2019) Jiankun Sun et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Quantized Decentralized Adaptive Neural Network PI Tracking Control for Uncertain Interconnected Nonlinear Systems With Dynamic Uncertainties
- (2019) Haibin Sun et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Formation Control for Water-Jet USV Based on Bio-Inspired Method
- (2018) Ming-yu Fu et al. CHINA OCEAN ENGINEERING
- Distributed Attitude Coordinated Control of Multiple Spacecraft with Attitude Constraints via State and Output Feedback
- (2018) Dongyu Li et al. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
- Platoon Formation Control With Prescribed Performance Guarantees for USVs
- (2018) Shi-Lu Dai et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Robust adaptive formation control of underactuated autonomous surface vessels based on MLP and DOB
- (2018) Yu Lu et al. NONLINEAR DYNAMICS
- An Error Transformation Approach for Connectivity-Preserving and Collision-Avoiding Formation Tracking of Networked Uncertain Underactuated Surface Vessels
- (2018) Bong Seok Park et al. IEEE Transactions on Cybernetics
- Two-Layer Distributed Formation-Containment Control of Multiple Euler-Lagrange Systems by Output Feedback
- (2018) Dongyu Li et al. IEEE Transactions on Cybernetics
- Distributed finite-time tracking control for multiple uncertain Euler–Lagrange systems with input saturations and error constraints
- (2018) Liangliang Chen et al. IET Control Theory and Applications
- A Cascades Approach to Formation-Tracking Stabilization of Force-Controlled Autonomous Vehicles
- (2017) Mohamed Maghenem et al. IEEE TRANSACTIONS ON AUTOMATIC CONTROL
- Nonlinear Suboptimal Tracking Controller Design Using State-Dependent Riccati Equation Technique
- (2017) Yazdan Batmani et al. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
- Convergence Analysis of Cooperative Braking Control for Interconnected Vehicle Systems
- (2017) Yonggui Liu et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Adaptive neural dynamic surface control of output constrained non-linear systems with unknown control direction
- (2017) Sainan Zhang et al. IET Control Theory and Applications
- Containment Control of Underactuated Ships with Environment Disturbances and Parameter Uncertainties
- (2017) Qidan Zhu et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- Neural-Network-Based Switching Formation Tracking Control of Multiagents With Uncertainties in Constrained Space
- (2017) Xiaomei Liu et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Adaptive LOS Path Following for a Podded Propulsion Unmanned Surface Vehicle with Uncertainty of Model and Actuator Saturation
- (2017) Dongdong Mu et al. Applied Sciences-Basel
- Synchronization Motion Tracking Control of Multiple Underactuated Ships With Collision Avoidance
- (2016) K. D. Do IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Adaptive Neural Network Control of an Uncertain Robot With Full-State Constraints
- (2016) Wei He et al. IEEE Transactions on Cybernetics
- Prescribed Performance Consensus of Uncertain Nonlinear Strict-Feedback Systems With Unknown Control Directions
- (2016) Wei Wang et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Nonlinear Model Predictive Formation Control: An Iterative Weighted Tuning Approach
- (2015) Tiago P. Nascimento et al. JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
- On Extended Dissipativity of Discrete-Time Neural Networks With Time Delay
- (2015) Zhiguang Feng et al. IEEE Transactions on Neural Networks and Learning Systems
- Autonomous attitude coordinated control for spacecraft formation with input constraint, model uncertainties, and external disturbances
- (2014) Zhong Zheng et al. Chinese Journal of Aeronautics
- Tracking control of uncertain Euler-Lagrange systems with finite-time convergence
- (2014) Qinglei Hu et al. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
- Coordinated formation pattern control of multiple marine surface vehicles with model uncertainty and time-varying ocean currents
- (2014) Zhouhua Peng et al. NEURAL COMPUTING & APPLICATIONS
- Adaptive Neural Network Control of a Fully Actuated Marine Surface Vessel With Multiple Output Constraints
- (2013) IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
- Finite-time optimal formation tracking control of vehicles in horizontal plane
- (2013) Yongfang Liu et al. NONLINEAR DYNAMICS
- Adaptive Dynamic Surface Control for Formations of Autonomous Surface Vehicles With Uncertain Dynamics
- (2012) Zhouhua Peng et al. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
- Barrier Lyapunov Functions for the control of output-constrained nonlinear systems
- (2009) Keng Peng Tee et al. AUTOMATICA
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started