Stochastic source seeking for nonholonomic unicycle

DOI10.1016/J.AUTOMATICA.2010.05.025zbMath1202.93174OpenAlexW2115822571WikidataQ59621727 ScholiaQ59621727MaRDI QIDQ710686

Shu-Jun Liu, Krstić, Miroslav

Publication date: 22 October 2010

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2010.05.025

zbMATH Keywords

extremum seekingstochastic averagingnonholonomic unicycle

Mathematics Subject Classification ID

Automated systems (robots, etc.) in control theory (93C85) Optimal stochastic control (93E20) Stochastic stability in control theory (93E15)

Related Items (15)

Extremum seeking control of a nonholonomic system with sensor constraints ⋮ Semi-global stability analysis of source seeking with dynamic sensor reading and a class of nonlinear maps ⋮ Stochastic source seeking with forward and angular velocity regulation ⋮ Nonholonomic source seeking in three dimensions using pitch and yaw torque inputs ⋮ Distributed stochastic source seeking for multiple vehicles over fixed topology ⋮ Output Feedback Stabilization of Stochastic Non-holonomic Mobile Robots ⋮ Extremum Seeking Control for a Class of Nonholonomic Systems ⋮ 3D environmental extremum seeking navigation of a nonholonomic mobile robot ⋮ Newton-based stochastic extremum seeking ⋮ ``Robot cloud gradient climbing with point measurements ⋮ Output feedback stabilization for stochastic nonholonomic systems with nonlinear drifts and Markovian switching ⋮ Two-robot source seeking with point measurements ⋮ Path planning in GPS-denied environments via collective intelligence of distributed sensor networks ⋮ Modeling and adaptive tracking for stochastic nonholonomic constrained mechanical systems ⋮ Hybrid control for tracking environmental level sets by nonholonomic robots in maze-like environments

Cites Work

• Unnamed Item
• On non-local stability properties of extremum seeking control
• Source seeking with non-holonomic unicycle without position measurement and with tuning of forward velocity
• Random perturbation methods with applications in science and engineering
• Optimotaxis: A Stochastic Multi-agent Optimization Procedure with Point Measurements
• Real‐Time Optimization by Extremum‐Seeking Control
• Extremum Seeking With Stochastic Perturbations
• Nonholonomic Source Seeking With Tuning of Angular Velocity
• Newton-Like Extremum-Seeking for the Control of Thermoacoustic Instability

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