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This document presents a master\'s thesis focused on analyzing the robustness of various control strategies, particularly Proportional Differential Disturbance Rejection (PD/DR) and Quantitative Pole placement (QP), when applied to non-linear mechanical systems. The study includes detailed comparisons of the controllers\' performances against uncertainties in both model parameters and structures, highlighting the implications for real-world applications such as robotics and automation.
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Research into robustness pertains to the evaluation and analysis of systems, processes, or products to determine their ability to perform reliably under varying conditions, including stress and uncertainty.
Typically, organizations, companies, or individuals involved in scientific research, product development, and regulatory submissions are required to file research into robustness.
To fill out research into robustness, one must follow a structured approach that includes clearly defining the scope, documenting methodology, presenting results, and discussing implications while adhering to required guidelines or templates.
The purpose of research into robustness is to ensure that products or systems are dependable, safe, and effective in various conditions, thereby minimizing risks and enhancing user confidence.
Information to be reported includes the methodology used, results of the robustness testing, data analysis, conclusions drawn, and any recommendations for improvement or further research.
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