Model-based control is one of the popular solutions for designing a controller used to control nonlinear systems. However, the difficulty of obtaining an accurate model is a challenge for control designers. For this reason model-free control (MFC) methods are attractive. This contribution gives an overview on different types of model-free control. It includes an investigation about model-free techniques applied to nonlinear systems. In detail the iPID iterative learning-based method is expressed more detailed. Simulation results also illustrate a successful application and performance of the proposed method.
- Dynamic Systems and Control Division
Model-Free Approaches Applied to the Control of Nonlinear Systems: A Brief Survey With Special Attention to Intelligent PID Iterative Learning Control
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Madadi, E, & Söffker, D. "Model-Free Approaches Applied to the Control of Nonlinear Systems: A Brief Survey With Special Attention to Intelligent PID Iterative Learning Control." Proceedings of the ASME 2015 Dynamic Systems and Control Conference. Volume 1: Adaptive and Intelligent Systems Control; Advances in Control Design Methods; Advances in Non-Linear and Optimal Control; Advances in Robotics; Advances in Wind Energy Systems; Aerospace Applications; Aerospace Power Optimization; Assistive Robotics; Automotive 2: Hybrid Electric Vehicles; Automotive 3: Internal Combustion Engines; Automotive Engine Control; Battery Management; Bio Engineering Applications; Biomed and Neural Systems; Connected Vehicles; Control of Robotic Systems. Columbus, Ohio, USA. October 28–30, 2015. V001T03A004. ASME. https://doi.org/10.1115/DSCC2015-9721
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