Global tracking control of underactuated ODINs in three-dimensional space

DOI10.1080/00207179.2012.721567zbMath1278.93167OpenAlexW2133188304MaRDI QIDQ2871697

Khac Duc Do

Publication date: 9 January 2014

Published in: International Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207179.2012.721567

zbMATH Keywords

global trackingLyapunov's direct methodone-step ahead backstepping methodunderactuated ODIN

Mathematics Subject Classification ID

Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05) Automated systems (robots, etc.) in control theory (93C85)

Related Items (7)

Nonlinear trajectory tracking controller for a class of robotic vehicles ⋮ Image-based tracking control of VTOL unmanned aerial vehicles ⋮ Integrated guidance and control strategy for homing of unmanned underwater vehicles ⋮ Motion coordination of thrust-propelled underactuated vehicles with intermittent and delayed communications ⋮ Global Adaptive Neural Network Control of Underactuated Autonomous Underwater Vehicles with Parametric Modeling Uncertainty ⋮ Singularity-conquering ZG controllers of z2g1 type for tracking control of the IPC system ⋮ Coordination control of quadrotor VTOL aircraft in three-dimensional space

Cites Work

• Coordination control of multiple ellipsoidal agents with collision avoidance and limited sensing ranges
• Global stabilization and restricted tracking for multiple integrators with bounded controls
• Global control of linear systems with saturating actuators
• A global output-feedback controller for stabilization and tracking of underactuated ODIN: A spherical underwater vehicle.
• Global stabilization of multiple integrators with bounded controls
• On the design of gain-scheduled trajectory tracking controllers
• Adaptive nonlinear regulation: estimation from the Lyapunov equation
• Adaptive nonlinear design with controller-identifier separation and swapping
• Bounded Controllers for Formation Stabilization of Mobile Agents With Limited Sensing Ranges

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