Chance-constrained sneaking trajectory planning for reconnaissance robots

DOI10.1016/j.apm.2022.08.009zbMath1505.93167OpenAlexW4289931138MaRDI QIDQ2110761

Jinqiu Bao, Guoke Huang, Zirun Li, Xin-Wei Wang, Hai-Jun Peng

Publication date: 23 December 2022

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2022.08.009

zbMATH Keywords

uncertaintynumerical integrationchance-constrained optimal controltrajectory planningconvex bounding method

Mathematics Subject Classification ID

Automated systems (robots, etc.) in control theory (93C85) Existence of optimal solutions to problems involving randomness (49J55)

Related Items (1)

A warm-started trajectory planner for fixed-wing unmanned aerial vehicle formation

Cites Work

• Stochastic Control With Uncertain Parameters via Chance Constrained Control
• Spectral Methods
• Deterministic approximations of probability inequalities
• An Interior-Point Algorithm for Large-Scale Nonlinear Optimization with Inexact Step Computations
• The Scenario Approach to Robust Control Design
• Constraint-Tightening and Stability in Stochastic Model Predictive Control
• Convex Approximations of Chance Constrained Programs

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