A model predictive obstacle avoidance method based on dynamic motion primitives and a Kalman filter

DOI10.1002/asjc.2946MaRDI QIDQ6580958

Yi-Wen Chen, Zhiqian Wang, Xianyao Ng, Qinwen Li, Wen-Rui Wang, Zhiyang Liu, Marcelo H. jun. Ang

Publication date: 30 July 2024

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

zbMATH Keywords

Kalman filtermodel predictive control (MPC)dynamic obstacle avoidanceartificial potential field (APF)dynamic motion primitive (DMP)

Mathematics Subject Classification ID

Systems theory; control (93-XX)

Cites Work

• A Novel Adaptive Kalman Filter With Inaccurate Process and Measurement Noise Covariance Matrices
• Dynamical Movement Primitives: Learning Attractor Models for Motor Behaviors
• Non-minimal state space model predictive control using Laguerre functions for reference tracking

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