According to our database1, Gustavo Scaglia authored at least 19 papers between 2009 and 2019.
Legend:Book In proceedings Article PhD thesis Other
A linear algebra controller based on reduced order models applied to trajectory tracking for mobile robots: an experimental validation.
Nonlinear multivariable tracking control: application to an ethanol process.
Nonlinear Trajectory Tracking Control for Marine Vessels with Additive Uncertainties.
A New Approach for Nonlinear Multivariable Fed-Batch Bioprocess Trajectory Tracking Control.
Automatic Control and Computer Sciences, 2018
Interpolation Based Controller for Trajectory Tracking in Mobile Robots.
Journal of Intelligent and Robotic Systems, 2017
Neural Network-Based State Estimation for a Closed-Loop Control Strategy Applied to a Fed-Batch Bioreactor.
A nonlinear trajectory tracking controller for mobile robots with velocity limitation via parameters regulation.
3D Formation Control of Autonomous Vehicles Based on Null-Space.
Journal of Intelligent and Robotic Systems, 2016
Experimental comparison of control strategies for trajectory tracking for mobile robots.
Nonlinear control of the dissolved oxygen concentration integrated with a biomass estimator for production of Bacillus thuringiensis δ-endotoxins.
Computers & Chemical Engineering, 2016
Trajectory-tracking controller design with constraints in the control signals: a case study in mobile robots.
Trajectory tracking of a mini four-rotor helicopter in dynamic environments - a linear algebra approach.
Trajectory Tracking of Underactuated Surface Vessels: A Linear Algebra Approach.
IEEE Trans. Contr. Sys. Techn., 2014
Trajectory Tracking Controller Design for Unmanned Vehicles: A New Methodology.
J. Field Robotics, 2014
Laser-Based Trespassing Prediction in Restrictive Environments: A Linear Approach.
Formation control and trajectory tracking of mobile robotic systems - a Linear Algebra approach.
Towards features updating selection based on the covariance matrix of the SLAM system state.
Numerical methods based controller design for mobile robots.
Trajectory tracking of mobile robots in dynamic environments - a linear algebra approach.