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ASME ( American Society of Mechanical Engineers )
Description: The American Society of Mechanical Engineers (ASME) is a professional association that, in its own words, "promotes the art, science, and practice of multidisciplinary engineering and allied sciences around the globe" via "continuing education, training and professional development, codes and standards, research, conferences and publications, government relations, and other forms of outreach." ASME is thus an engineering society, a standards organization, a research and development organization, a lobbying organization, a provider of training and education, and a nonprofit organization. Founded as an engineering society focused on mechanical engineering in North America, ASME is today multidisciplinary and global.
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A Practical Technique for Spectral Analysis of Nonlinear Systems Under Stochastic Parametric and External Excitations
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: A practical approach is developed for analyzing the spectral response of a nonlinear system subjected to both parametric and external Gaussian white noise excitations. The technique is implemented ...
Model-Based Discrete Linear State Estimator for Nonlinearizable Systems With State-Dependent Noise
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: A practical technique to derive a discrete-time linear state estimator for estimating the states of a nonlinearizable stochastic system involving both state-dependent and external noises through ...
Optimal Linear Feedback Control for a Class of Nonlinear Nonquadratic Non-Gaussian Problems
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: An optimal linear feedback controller designed for a class of nonlinear stochastic systems with nonquadratic performance criteria by a non-Gaussian approach is presented. The non-Gaussian method ...
Dynamic Model and Response of Robot Manipulators With Joint Irregularities
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The dynamic equation of a robotic manipulator with joint irregularities is formulated and employed for the prediction of the positioning accuracy and precision of a robotic manipulator in ...
Precomputed-Gain Nonlinear Filters for Nonlinear Systems With State-Dependent Noise
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Two precomputed-gain nonlinear filters are proposed for estimating the states of nonlinear systems corrupted by both external and parametric noises and subjected to linear noisy measurement systems. ...
Stationary Response of States-Constrained Nonlinear Systems Under Stochastic Parametric and External Excitations
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: A Fourier-series closure scheme is developed for the prediction of the stationary stochastic response of a stochastic parametrically and externally excited oscillator with a nonpolynomial type ...
Visual-Based Automation of Peg-in-Hole Microassembly Process
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: An automatic visual-servo microassembly system is installed and tested. With a compliant polyurethane microgripper, a visual-servo system is implemented for micropeg alignment, micropeg transportation, ...
Methods and Gaussian Criterion for Statistical Linearization of Stochastic Parametrically and Externally Excited Nonlinear Systems
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The methods of Gaussian linearization along with a new Gaussian Criterion used in the prediction of the stationary output variances of stable nonlinear oscillators subjected to both stochastic ...
Maximum Entropy Approach for Stationary Response of Nonlinear Stochastic Oscillators
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: A new approach based on the maximum entropy method is developed for deriving the stationary probability density function of a stable nonlinear stochastic system. The technique is implemented by ...
Non-Gaussian Linearization Method for Stochastic Parametrically and Externally Excited Nonlinear Systems
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: A new practical non-Gaussian linearization method is developed for the problem of the dynamic response of a stable nonlinear system under both stochastic parametric and external excitations. The ...