Synthesis of Reduced-Order Modeling, Global Sensitivity Analysis, and Uncertainty Quantification for Robust Control Design of Nonlinear Smart Composite Systems
North Carolina State University Raleigh United States
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This program focused on the synthesis of physical and reduced-order model development, quantification of modeldiscrepancies, global sensitivity analysis SA and uncertainty quantification UQ to improve robust control designs forAFOSR applications utilizing advanced transductive materials. These actuators provide broadband drive capabilities, solidstate nature, and potential for miniaturization. However, these advantages come at the cost of hysteretic, rate-dependent,and nonlinear dynamics. We addressed this via model-based uncertainty analysis and robust control design and verifiedthese results for materials under consideration for present micro-air vehicles and energy-harvesting systems.
- Operations Research
- Machinery and Tools