TY - CHAP A1 - Linner, Thomas A1 - Märkl, Markus A1 - Künzner, Florian A1 - Hagl, Rainer T1 - Analyzing and Optimizing Fixed-Point Operations on a MATLAB Simulink based Motion Control System T2 - 2023 10th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) N2 - This paper deals with the analysis and optimization of fixed-point operations in the context of motion control systems and the MathWorks MATLAB® Simulink® environment. It presents a procedure for estimating the maximum arithmetic error of fixed-point operations inside a modeled control loop, which can be used to verify compliance with a defined precision. Additionally, it shows the results of a runtime analysis for different numerical data types in combination with two fixed-point operations: addition and multiplication. In order to improve the fixed-point performance for MATLAB® Simulink® models, two optimized implementations are provided, which can improve the fixed-point operations by a factor up to 3, compared to the automatically generated operation implementations. The paper results are based on the MATLAB® R2022b release. KW - Codes KW - fixed-point optimization KW - Hardware KW - Mathematical models KW - model-based design KW - Motion planning KW - Numerical models KW - precision motion control KW - real-time KW - Runtime KW - Software packages Y1 - 2023 U6 - https://doi.org/10.1109/EECSI59885.2023.10295686 SP - 486 EP - 492 ER -