finish bibliography

Author: hovey

documentation/mdbook/src/bibliography.bib

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+@PhdThesis{daborn2014_smarter_dynamic_testing_critical_structures,
+  author = {Philip Matthew Daborn},
+  title  = {Smarter dynamic testing of critical structures},
+  school = {University of Bristol},
+  year   = {2014},
+  month  = dec,
+}
+
+@InProceedings{schultz2020_input_signal_synthesis_openloop_multipleinput_multipleoutput_testing,
+  author={Schultz, Ryan A. and Nelson, Garrett D.},
+  editor={Walber, Chad and Walter, Patrick and Seidlitz, Steve},
+  title={Input Signal Synthesis for Open-Loop Multiple-Input/Multiple-Output Testing},
+  booktitle={Sensors and Instrumentation, Aircraft/Aerospace, Energy Harvesting {\&} Dynamic Environments Testing, Volume 7},
+  year={2020},
+  publisher={Springer International Publishing},
+  address={Cham},
+  pages={245--257},
+  abstract={Many in the structural dynamics community are currently researching a range of multiple-input/multiple-output problems and largely rely on commercially-available closed-loop controllers to execute their experiments. Generally, these commercially-available control systems are robust and prove adequate for a wide variety of testing. However, with the development of new techniques in this field, researchers will want to exercise these new techniques in laboratory tests. For example, modifying the control or input estimation method can have benefits to the accuracy of control, or provide higher response for a given input. Modification of the control methods is not typically possible in commercially-available control systems, therefore it is desirable to have some methodology available which allows researchers to synthesize input signals for multiple-input/multiple-output experiments. Here, methods for synthesizing multiply-correlated time histories based on desired cross spectral densities are demonstrated and then explored to understand effects of various parameters on the resulting signals, their statistics, and their relation to the specified cross spectral densities. This paper aims to provide researchers with a simple, step-by-step process which can be implemented to generate input signals for open-loop multiple-input/multiple-output experiments.},
+  isbn={978-3-030-12676-6},
+}
+
+@Article{schultz2020_shape_consbltrained_input_estimation_efficient_multishaker_vibration_testing,
+  author   = {Schultz, R. and Avitabile, P.},
+  title    = {Shape-constrained Input Estimation for Efficient Multi-shaker Vibration Testing},
+  journal  = {Experimental Techniques},
+  year     = {2020},
+  volume   = {44},
+  number   = {4},
+  pages    = {409--423},
+  month    = aug,
+  issn     = {1747-1567},
+  abstract = {Multi-shaker vibration testing is gaining interest from structural dynamics test engineers as it can provide      a much more accurate match to complicated field vibration responses than traditional single-axis shaker tests. However, the force capabilities of the small modal shakers typically used in multi-shaker vibration tests has limited the achievable response levels. To date, most multi-shaker vibration tests have been performed using a variety of standard, commercially-available control systems. While these control systems are adequate for a wide range of multiple-input/multiple-output tests, their control algorithms have not been tailored for the specific problem of multi-shaker vibration tests: efficiently coordinating the various shakers to work together to achieve a desired response. Here, a new input estimation algorithm is developed and demonstrated using simulations and actual test data. This algorithm, dubbed shape-constrained input estimation, is shown to effectively coordinate multiple shakers using a set of constraint vectors based on the deflection shapes of the test structure. This is accomplished by using the singular vector shapes of the system frequency response matrix, which allows the constraint vectors to automatically change as a function of frequency. Simulation and test results indica     te a significant reduction in the input forces required to achieve a desired response. The results indicate that shape-constrained input estimation is an effective method to achieve higher response levels from limited shaker forces which will enable higher level multi-shaker vibration tests to be performed.},
+  refid    = {Schultz2020},
+  url      = {https://doi.org/10.1007/s40799-020-00361-0},
+}
+
 @Misc{unidata2019_netcdf,
   author       = {Unidata},
   howpublished = {Software},