In 1986, Juang and Pappa developed the eigensystem realization algorithm (ERA) based on SVD and the minimum realization algorithm. In 1974, Zeiger and McEwen proposed the concept of Singular Value Decomposition (SVD) in conjunction with the minimum realization algorithm. This method could describe the system accurately but disregarded effective estimation of impulse response with noise. In 1965, Ho and Kalman proposed the minimum realization algorithm, using the Markov parameter composed of the impulse response function to obtain the minimum-order state-space representation. Other computation systems make you analyze your equations manually to determine which function to apply-e.g.The output-only modal identification can be implemented by multiple time-domain or frequency-domain methods. Highly optimized superfunctions analyze your equations and automatically select the right algorithms to get you accurate results quickly-sometimes switching mid-calculation for further optimization MATLAB does not have built-in surface-modeling primitives Use built-in functions for Taylor series and Fourier series analysis for applications in vibrations, system dynamics and moreĭoes your current tool set have these advantages?įree-form linguistic input produces immediate results without the need for syntaxīuilt-in industrial-strength surface-modeling primitives for modeling highly customized surfaces, such as medical implant devices, automobile bodies and more.Perform surface modeling of complex surfaces, including automobile bodies, gas turbine blades, medical equipment and more.
Automatically compute design quantities, including closed-loop transfer functions, PID parametrizations and more.Design and simulate powertrain controllers, heavy equipment, vehicle dynamics, space robotics and more with Wolfram SystemModeler.Wolfram technologies include thousands of built-in functions that let you:
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