Cornelis C. de Visser

According to our database, Cornelis C. de Visser authored at least 20 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Loss-of-Control Prediction of a Quadcopter Using Recurrent Neural Networks.

Anique V. N. Altena, Jasper J. van Beers, Coen C. de Visser

J. Aerosp. Inf. Syst., 2023

2021

Aviate, Navigate: Functional Visualizations of Asymmetric Flight Envelope Limits.

Tom A. D. T. Rijndorp, Clark Borst, Coen C. de Visser, Olaf Stroosma, Marinus Maria van Paassen, Max Mulder

J. Aerosp. Inf. Syst., December, 2021

Adaptive Real-Time Clustering Method for Dynamic Visual Tracking of Very Flexible Wings.

Tigran Mkhoyan, Coen C. de Visser, Roeland de Breuker

J. Aerosp. Inf. Syst., February, 2021

Database-Driven Safe Flight-Envelope Protection for Impaired Aircraft.

Ye Zhang, Yingzhi Huang, Qiping Chu, Coen C. de Visser

J. Aerosp. Inf. Syst., January, 2021

Incremental Nonlinear Fault-Tolerant Control of a Quadrotor With Complete Loss of Two Opposing Rotors.

Sihao Sun, Xuerui Wang, Qiping Chu, Coen C. de Visser

IEEE Trans. Robotics, 2021

Air Data Sensor Fault Detection and Diagnosis in the Presence of Atmospheric Turbulence: Theory and Experimental Validation With Real Flight Data.

Peng Lu, Erik-Jan van Kampen, Coen C. de Visser, Qiping Chu

IEEE Trans. Control. Syst. Technol., 2021

2019

Model reduction of parabolic PDEs using multivariate splines.

Henry J. Tol, Cornelis C. de Visser, Marios Kotsonis

Int. J. Control, 2019

2018

Safe Exploration Algorithms for Reinforcement Learning Controllers.

Tommaso Mannucci, Erik-Jan van Kampen, Cornelis C. de Visser, Qiping Chu

IEEE Trans. Neural Networks Learn. Syst., 2018

2016

On Approximate Dynamic Programming with Multivariate Splines for Adaptive Control.

Willem Eerland, Coen C. de Visser, Erik-Jan van Kampen

CoRR, 2016

Framework for state and unknown input estimation of linear time-varying systems.

Peng Lu, Erik-Jan van Kampen, Cornelis C. de Visser, Qiping Chu

Autom., 2016

Behavior Trees for Evolutionary Robotics.

Kirk Y. W. Scheper, Sjoerd Tijmons, Cornelis C. de Visser, Guido C. H. E. de Croon

Artif. Life, 2016

2014

A novel online adaptive kernel method with kernel centers determined by a support vector regression approach.

L. G. Sun, Coen C. de Visser, Qiping Chu, J. A. Mulder

Neurocomputing, 2014

Behaviour Trees for Evolutionary Robotics.

Kirk Y. W. Scheper, Sjoerd Tijmons, Coen C. de Visser, Guido C. H. E. de Croon

CoRR, 2014

A sparse collocation method for solving time-dependent HJB equations using multivariate B-splines.

Nithin Govindarajan, Cornelis C. de Visser, Kalmanje Krishnakumar

Autom., 2014

Distributed Wavefront Reconstruction using measurements of the spatial derivatives of the wavefront for real-time large scale adaptive optics control.

Cornelis C. de Visser, Michel Verhaegen

Proceedings of the 13th European Control Conference, 2014

Wavefront reconstruction using intensity measurements for real-time adaptive optics.

João Lopes e Silva, Elisabeth Brunner, Alessandro Polo, Cornelis C. de Visser, Michel Verhaegen

Proceedings of the 13th European Control Conference, 2014

2012

Intersplines: A New Approach to Globally Optimal Multivariate Splines Using Interval Analysis.

Coen C. de Visser, Erik-Jan van Kampen, Qiping Chu, J. A. Mulder

Reliab. Comput., 2012

2011

Global Nonlinear Model Identification with Multivariate Splines.

Cornelis C. de Visser

PhD thesis, 2011

Differential constraints for bounded recursive identification with multivariate splines.

Coen C. de Visser, Qiping Chu, J. A. Mulder

Autom., 2011

2009

A new approach to linear regression with multivariate splines.

Coen C. de Visser, Qiping Chu, J. A. Mulder

Autom., 2009