Quasi-Min-Max Model Predictive Control for Image-Based Visual Servoing with Tensor Product Model Transformation

DOI10.1002/asjc.871zbMath1332.93119OpenAlexW1597363841MaRDI QIDQ2789937

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Publication date: 2 March 2016

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

Full work available at URL: https://doi.org/10.1002/asjc.871

zbMATH Keywords

LMIrobot manipulatortensor product (TP) model transformationeye-in-hand configurationimage-based visual servoing (IBVS)quasi-min-max MPC

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Discrete-time control/observation systems (93C55) Linear systems in control theory (93C05) Automated systems (robots, etc.) in control theory (93C85) Linearizations (93B18) Machine vision and scene understanding (68T45)

Related Items (7)

A new image-based visual servoing method with velocity direction control ⋮ Minimal Volume Simplex (MVS) Polytopic Model Generation and Manipulation Methodology for TP Model Transformation ⋮ Model Predictive Control for Constrained Image‐Based Visual Servoing in Uncalibrated Environments ⋮ Affine tensor product model transformation ⋮ Extension of the multi-TP model transformation to functions with different numbers of variables ⋮ Influence of the Tensor Product Model Representation Of QLPV Models on The Feasibility of Linear Matrix Inequality ⋮ A survey of learning-based control of robotic visual servoing systems

Uses Software

• TPtool

Cites Work

• Unnamed Item
• Robust constrained model predictive control using linear matrix inequalities
• Method of centers for minimizing generalized eigenvalues
• Quasi-min-max MPC algorithms for LPV systems
• Distributed robust MPC for constrained systems with polytopic description
• Linear Matrix Inequalities in System and Control Theory
• Globally stable model reference adaptive control based on fuzzy description of the plant
• Reconstruction of 3D contour with an active laser‐vision robotic system

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