Prof. Pier Marzocca Profile

Prof. Pier Marzocca

at Clarkson Univ

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Publications (5)

Proceedings Article | 10 April 2008 Paper

The analytical trispectrum for multiple degree-of-freedom systems possessing cubic nonlinearity

Jonathan Nichols, Attilio Milanese, Pier Marzocca

Proceedings Volume 6935, 69350O (2008) https://doi.org/10.1117/12.776495

KEYWORDS: Fourier transforms, Signal processing, Complex systems, Estimation theory, Analytical research, Statistical analysis, Data acquisition, Direct methods, System identification, Ordinary differential equations

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Proceedings Article | 10 April 2008 Paper

Nonlinearity detection in multiple degree-of-freedom systems using the auto-bispectral density

Jonathan Nichols, Pier Marzocca, Attilio Milanese

Proceedings Volume 6935, 69350N (2008) https://doi.org/10.1117/12.776322

KEYWORDS: Sensors, Sensor performance, Estimation theory, Analytical research, Complex systems, Receivers, Fourier transforms, Statistical analysis, Error analysis, Mechanical engineering

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Proceedings Article | 18 April 2007 Paper

Active aeroelastic control aspects of an aircraft wing by using synthetic jet actuators: modeling, simulations, experiments

K. O'Donnell, S. Schober, M. Stolk, P. Marzocca, R. De Breuker, M. Abdalla, E. Nicolini, Z. Gürdal

Proceedings Volume 6523, 652309 (2007) https://doi.org/10.1117/12.716775

KEYWORDS: Aerodynamics, Actuators, Turbulence, Control systems, Liquid crystal on silicon, Content addressable memory, Feedback control, Analytical research, Numerical analysis, Aerospace engineering

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Proceedings Article | 11 April 2007 Paper

Development of higher-order spectra for randomly excited quadratic nonlinear systems: Volterra functional series approach

P. Marzocca, J. Nichols, M. Seaver, S. Trickey, A. Milanese

Proceedings Volume 6532, 65320W (2007) https://doi.org/10.1117/12.715328

KEYWORDS: Complex systems, Dynamical systems, Numerical simulations, Intermodulation, Structural health monitoring, Systems modeling

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Proceedings Article | 11 April 2007 Paper

Characterizing the auto-bispectrum as a detector of nonlinearity in structural systems

Jonathan Nichols, Attilio Milanese, Pier Marzocca

Proceedings Volume 6532, 65320X (2007) https://doi.org/10.1117/12.715203

KEYWORDS: Sensors, Probability theory, Fourier transforms, Analytical research, Direct methods, Receivers, Complex systems, Stochastic processes, Sensor performance, Numerical simulations

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