TY  - JOUR
EP  - 1716
N2  - This paper demonstrates the functionality and ease of use of a recently implemented robust exact differentiator block for numerical simulations performed within the Matlab/Simulink software environment. It is demonstrated that the differentiator block may be used for various applications and may be easily integrated within existing Simulink models. The underpinning discrete-time differentiation algorithm is briefly outlined and its parameters for differentiator orders up to 10 are presented. An extended version of the toolbox supports the so-called automatic code generation feature of Matlab/Simulink. This functionality allows compilable code to be produced for many available hardware platforms. Three applications are presented in the paper, two of which require the generation of executable code. The third simulation-based application presents a differentiator based edge detection algorithm for image processing purposes which directly utilises the Simulink block. The three applications employ differentiators of order 4, 3 and 2, respectively.
UR  - https://doi.org/10.1016/j.ifacol.2017.08.497
VL  - 50
A1  - Reichhartinger, M
A1  - Spurgeon, SK
A1  - Forstinger, M
A1  - Wipfler, M
ID  - discovery10027530
N1  - This version is the author accepted manuscript. For information on re-use, please refer to the publisher?s terms and conditions.
Y1  - 2017/10/18/
TI  - A Robust Exact Differentiator Toolbox for Matlab®/Simulink®
JF  - IFAC-PapersOnLine
AV  - public
IS  - 1
KW  - Differentiators
KW  -  robust estimation
KW  -  software tools
KW  -  nonlinear control systems
KW  -  control applications
SP  - 1711
SN  - 2405-8963
ER  -