Robust multivariable predictive control for laser-aided powder deposition processes

DOI10.1016/j.jfranklin.2018.12.015zbMath1411.93071OpenAlexW2913100206MaRDI QIDQ1738534

Xiaoqing Cao, Beshah Ayalew

Publication date: 18 April 2019

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2018.12.015

zbMATH Keywords

local ancillary feedback lawpowder deposition processrobust multivariable predictive control

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Feedback control (93B52) Multivariable systems, multidimensional control systems (93C35)

Related Items

Model transformation based distributed stochastic gradient algorithm for multivariate output-error systems ⋮ Control design for a class of multivariable nonlinear system with uncertain control direction: a laser cladding case study

Cites Work

• Inherent robustness properties of quasi-infinite horizon nonlinear model predictive control
• Robust model predictive control of constrained linear systems with bounded disturbances
• Constrained model predictive control: Stability and optimality
• Numerical investigation of the influence of laser beam mode on melt pool
• Tube-based robust nonlinear model predictive control
• Online robust tube-based MPC for time-varying systems: a practical approach
• Robust receding horizon control of constrained nonlinear systems
• Laser metal forming processes for rapid prototyping - A review
• Robust model predictive control for nonlinear discrete‐time systems
• Robust H/sub ∞/ output feedback control for nonlinear systems
• A receding-horizon approach to the nonlinear \(H_{\infty}\) control problem
• Systems with persistent disturbances: Predictive control with restricted constraints