A MBSE Application to Controllers of Autonomous Underwater Vehicles Based on Model-Driven Architecture Concepts

[1]  Hongguang Jia,et al.  Error Prediction for SINS/GPS after GPS Outage Based on Hybrid KF-UKF , 2015 .

[2]  B. Bett,et al.  Autonomous Underwater Vehicles (AUVs): Their past, present and future contributions to the advancement of marine geoscience , 2014 .

[3]  Hamid Reza Karimi,et al.  A sliding mode approach to H∞ synchronization of master-slave time-delay systems with Markovian jumping parameters and nonlinear uncertainties , 2012, J. Frankl. Inst..

[4]  Naseem Daher,et al.  Three-dimensional trajectory tracking of a hybrid autonomous underwater vehicle in the presence of underwater current , 2019, Ocean Engineering.

[5]  Pravin Varaiya,et al.  What's decidable about hybrid automata? , 1995, STOC '95.

[6]  Chao Yang,et al.  Experimental Evaluation on Depth Control Using Improved Model Predictive Control for Autonomous Underwater Vehicle (AUVs) , 2018, Sensors.

[7]  Giuseppe Casalino,et al.  Underwater Robots: From Remotely Operated Vehicles to Intervention-Autonomous Underwater Vehicles , 2019, IEEE Robotics & Automation Magazine.

[8]  Bo He,et al.  Fractional-Order PID Motion Control for AUV Using Cloud-Model-Based Quantum Genetic Algorithm , 2019, IEEE Access.

[9]  Farooque Azam,et al.  A model-driven framework for design and verification of embedded systems through SystemVerilog , 2019, Design Automation for Embedded Systems.

[10]  Jimmy Lauber,et al.  An Extension of Computed-Torque Control for Parallel Robots in Ankle Reeducation , 2019, IFAC-PapersOnLine.

[11]  Zewei Zheng,et al.  Adaptive integral LOS path following for an unmanned airship with uncertainties based on robust RBFNN backstepping. , 2016, ISA transactions.

[12]  Muhammad Kashif,et al.  Model-based design verification for embedded systems through SVOCL: an OCL extension for SystemVerilog , 2017, Des. Autom. Embed. Syst..

[13]  Daoliang Li,et al.  Integrated navigation for autonomous underwater vehicles in aquaculture: A review , 2020 .

[14]  Muhammad Rashid,et al.  Toward the tools selection in model based system engineering for embedded systems - A systematic literature review , 2015, J. Syst. Softw..

[15]  Lijun Zhang,et al.  Finite-Time Output Feedback Tracking Control for Autonomous Underwater Vehicles , 2015, IEEE Journal of Oceanic Engineering.

[16]  Zheping Yan,et al.  Trajectory Tracking Control of UUV Based on Backstepping Sliding Mode With Fuzzy Switching Gain in Diving Plane , 2019, IEEE Access.

[17]  Eduardo Lorenzetti Pellini,et al.  Development of an AUV control architecture based on systems engineering concepts , 2018 .

[18]  Tie Qiu,et al.  A Review on Intelligence Dehazing and Color Restoration for Underwater Images , 2020, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[19]  Andre B. Figueiredo,et al.  MViDO: A High Performance Monocular Vision-Based System for Docking A Hovering AUV , 2020 .

[20]  Thomas M. Grothues,et al.  Tracking the Movements of Juvenile Chinook Salmon using an Autonomous Underwater Vehicle under Payload Control , 2019, Applied Sciences.

[21]  Bran Selic,et al.  Using UML for Modeling Complex Real-Time Systems , 1998, LCTES.

[22]  Naveen Kumar,et al.  An efficient hybrid approach for trajectory tracking control of autonomous underwater vehicles , 2020 .

[23]  Alireza Fathi,et al.  Identification of an Autonomous Underwater Vehicle Hydrodynamic Model Using the Extended, Cubature, and Transformed Unscented Kalman Filter , 2018, IEEE Journal of Oceanic Engineering.

[24]  Cong Wang,et al.  Sliding mode based neural adaptive formation control of underactuated AUVs with leader-follower strategy , 2020 .

[25]  Karl D. von Ellenrieder,et al.  Stable Backstepping Control of Marine Vehicles with Actuator Rate Limits and Saturation , 2018 .

[26]  Edin Omerdic,et al.  Underwater manipulators: A review , 2018, Ocean Engineering.

[27]  Daniel J. Stilwell,et al.  Hydrodynamic Parameter Estimation for Autonomous Underwater Vehicles , 2020, IEEE Journal of Oceanic Engineering.

[28]  Paulo Cézar Stadzisz,et al.  A Brazilian survey on UML and model-driven practices for embedded software development , 2013, J. Syst. Softw..

[29]  Ricardo Tesoriero,et al.  Code generation using model driven architecture: A systematic mapping study , 2020, J. Comput. Lang..

[30]  Shuo Pang,et al.  Design and Experiment of a Plateau Data-Gathering AUV , 2019, Journal of Marine Science and Engineering.

[31]  Alfonso Gómez-Espinosa,et al.  Autonomous Underwater Vehicles: Localization, Navigation, and Communication for Collaborative Missions , 2020, Applied Sciences.

[32]  Gun Rae Cho,et al.  Horizontal Trajectory Tracking of Underactuated AUV using Backstepping Approach , 2019 .

[33]  Alireza Khosravi,et al.  Model reference adaptive PID control with anti-windup compensator for an autonomous underwater vehicle , 2016, Robotics Auton. Syst..

[34]  Matti Raitoharju,et al.  On Computational Complexity Reduction Methods for Kalman Filter Extensions , 2019, IEEE Aerospace and Electronic Systems Magazine.

[35]  Manpreet Kaur,et al.  Experimental Investigation of Fully Informed Particle Swarm Optimization tuned Multi Loop L-PID and NL-PID Controllers for Gantry Crane System , 2020 .

[36]  Ngo Van He,et al.  A model-driven implementation to realize controllers for Autonomous Underwater Vehicles , 2018, Applied Ocean Research.

[37]  Zheping Yan,et al.  Trajectory Tracking Control of an Underactuated AUV Based on Backstepping Sliding Mode With State Prediction , 2019, IEEE Access.

[38]  Bo He,et al.  3DOF Adaptive Line-Of-Sight Based Proportional Guidance Law for Path Following of AUV in the Presence of Ocean Currents , 2019, Applied Sciences.

[39]  Nicolai Christov,et al.  Time-delay estimation based computed torque control with robust adaptive RBF neural network compensator for a rehabilitation exoskeleton. , 2020, ISA transactions.

[40]  Chao Yang,et al.  Optimization of the Energy Consumption of Depth Tracking Control Based on Model Predictive Control for Autonomous Underwater Vehicles , 2019, Sensors.

[41]  Ming Lei,et al.  Nonlinear diving stability and control for an AUV via singular perturbation , 2020 .

[42]  Benedetto Allotta,et al.  A new AUV navigation system exploiting unscented Kalman filter , 2016 .

[43]  Vincent Creuze,et al.  Saturation based nonlinear PID control for underwater vehicles: Design, stability analysis and experiments , 2019, Mechatronics.

[44]  Jian Cao,et al.  AUV near-wall-following control based on adaptive disturbance observer , 2019, Ocean Engineering.

[45]  Lichuan Zhang,et al.  Saturation Based Nonlinear FOPD Motion Control Algorithm Design for Autonomous Underwater Vehicle , 2019 .

[46]  Zheping Yan,et al.  Robust adaptive sliding mode control of underactuated autonomous underwater vehicles with uncertain dynamics , 2019, Ocean Engineering.

[47]  Hongli Xu,et al.  An Adaptive Target Tracking Algorithm Based on EKF for AUV with Unknown Non-Gaussian Process Noise , 2020, Applied Sciences.

[48]  Thor I. Fossen,et al.  Integral LOS Path Following for Curved Paths Based on a Monotone Cubic Hermite Spline Parametrization , 2014, IEEE Transactions on Control Systems Technology.

[49]  Hongde Qin,et al.  A novel adaptive second order sliding mode path following control for a portable AUV , 2018 .

[50]  Pedro Castillejo,et al.  Survey of Mission Planning and Management Architectures for Underwater Cooperative Robotics Operations , 2020 .

[51]  Mehran Mesbahi,et al.  Augmented State Feedback for Improving Observability of Linear Systems with Nonlinear Measurements , 2019, Syst. Control. Lett..

[52]  Vincent Creuze,et al.  Adaptive disturbance observer for trajectory tracking control of underwater vehicles , 2020 .

[53]  Omid Elhaki,et al.  A robust neural network approximation-based prescribed performance output-feedback controller for autonomous underwater vehicles with actuators saturation , 2020, Eng. Appl. Artif. Intell..

[54]  Rogelio Lozano,et al.  Autonomous Underwater Vehicle Robust Path Tracking: Auto-Adjustable Gain High Order Sliding Mode Controller , 2018 .

[55]  Yinjing Guo,et al.  Dynamics Modeling and Motion Control of an New Unmanned Underwater Vehicle , 2020, IEEE Access.

[56]  N. V. Hien,et al.  An object-unified approach to develop controllers for autonomous underwater vehicles , 2016 .

[57]  Luigi Chisci,et al.  An unscented Kalman filter based navigation algorithm for autonomous underwater vehicles , 2016 .

[58]  Xingyu Wang,et al.  Decentralized unscented Kalman filter based on a consensus algorithm for multi-area dynamic state estimation in power systems , 2015 .

[59]  Hongde Qin,et al.  Clustering Cloud-Like Model-Based Targets Underwater Tracking for AUVs , 2019, Sensors.

[60]  Ali Keymasi Khalaji,et al.  Nonlinear Lyapounov based control of an underwater vehicle in presence of uncertainties and obstacles , 2020 .

[61]  Michel D. Ingham,et al.  Generating requirements for complex embedded systems using State Analysis , 2006 .

[62]  Khoshnam Shojaei,et al.  Line-of-Sight Target Tracking Control of Underactuated Autonomous Underwater Vehicles , 2017 .