[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Du et al., 2022 - Google Patents

Multi-objective cooperative control for a ship-towing system in congested water traffic environments

Du et al., 2022

Document ID
1786701215296382388
Author
Du Z
Negenborn R
Reppa V
Publication year
Publication venue
IEEE Transactions on Intelligent Transportation Systems

External Links

Snippet

This paper proposes a multi-objective cooperative control method for a ship-towing system in congested water traffic environments. The control objectives are to coordinate multiple autonomous tugboats for transporting a ship to:(i) follow the waypoints,(ii) adjust the …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/0206—Control of position or course in two dimensions specially adapted to water vehicles
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/08—Control of attitude, i.e. control of roll, pitch, or yaw
    • G05D1/0808—Control of attitude, i.e. control of roll, pitch, or yaw specially adapted for aircraft
    • G05D1/0816—Control of attitude, i.e. control of roll, pitch, or yaw specially adapted for aircraft to ensure stability
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/10—Simultaneous control of position or course in three dimensions
    • G05D1/101—Simultaneous control of position or course in three dimensions specially adapted for aircraft
    • G05D1/104—Simultaneous control of position or course in three dimensions specially adapted for aircraft involving a plurality of aircrafts, e.g. formation flying
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/0011—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot associated with a remote control arrangement
    • G05D1/0044—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot associated with a remote control arrangement by providing the operator with a computer generated representation of the environment of the vehicle, e.g. virtual reality, maps
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models

Similar Documents

Publication Publication Date Title
Eriksen et al. The branching‐course model predictive control algorithm for maritime collision avoidance
Wei et al. MPC-based motion planning and control enables smarter and safer autonomous marine vehicles: Perspectives and a tutorial survey
Zhao et al. Control method for path following and collision avoidance of autonomous ship based on deep reinforcement learning
Chen et al. Distributed model predictive control for cooperative floating object transport with multi-vessel systems
Zhang et al. Novel DVS guidance and path-following control for underactuated ships in presence of multiple static and moving obstacles
Caharija et al. Integral line-of-sight guidance and control of underactuated marine vehicles: Theory, simulations, and experiments
Zhang et al. A novel DVS guidance principle and robust adaptive path-following control for underactuated ships using low frequency gain-learning
Du et al. Cooperative multi-agent control for autonomous ship towing under environmental disturbances
Shuai et al. An efficient neural-network based approach to automatic ship docking
Tan et al. Fast marching square method based intelligent navigation of the unmanned surface vehicle swarm in restricted waters
Li et al. Integrating dynamic event-triggered and sensor-tolerant control: Application to USV-UAVs cooperative formation system for maritime parallel search
Rongcai et al. Autonomous collision avoidance system in a multi-ship environment based on proximal policy optimization method
Han et al. A potential field-based trajectory planning and tracking approach for automatic berthing and COLREGs-compliant collision avoidance
Du et al. Multi-objective cooperative control for a ship-towing system in congested water traffic environments
Wang et al. Autonomous docking trajectory optimization for unmanned surface vehicle: A hierarchical method
Wang et al. A novel path following approach for autonomous ships based on fast marching method and deep reinforcement learning
Gong et al. Safe-critical formation reconfiguration of multiple unmanned surface vehicles subject to static and dynamic obstacles based on guiding vector fields and fixed-time control barrier functions
Zhang et al. Disturbance observer-based composite neural learning path following control of underactuated ships subject to input saturation
US12091137B1 (en) Intelligent assistance system and method for berthing and unberthing based on multi-tugboat collaboration
Du et al. MPC-based COLREGS compliant collision avoidance for a multi-vessel ship-towing system
Du et al. COLREGS-Compliant collision avoidance for physically coupled multi-vessel systems with distributed MPC
Wang et al. Ship docking and undocking control with adaptive-mutation beetle swarm prediction algorithm
Sun et al. Collision avoidance control for unmanned surface vehicle with COLREGs compliance
Wu et al. Augmented safety guarantee-based area keeping control for an underactuated USV with environmental disturbances
Zhang et al. Time-optimal path planning and tracking based on nonlinear model predictive control and its application on automatic berthing