
Braatz, R.D.: Optimal Experimental Design for Probabilistic Model Discrimination Using Polynomial Chaos. In International Symposium on Advanced Control of Chemical Processes (ADCHEM). Streif, S.: A Probabilistic Approach to Robust Optimal Experiment Design with Chance Constraints. 10th IFAC International Symposium on Dynamics and Control of Process Systems (D圜oPS), pp. Findeisen, R.: Certifying robustness of separating inputs and outputs in active fault diagnosis for uncertain nonlinear systems. Streif, S.: Guaranteed Active Fault Diagnosis for Uncertain Nonlinear Systems. Braatz, R.D.: Active Fault Diagnosis for Nonlinear Systems with Probabilistic Uncertainties. 53rd IEEE Conference on Decision and Control (CDC), pp. Braatz, R.D.: Fast Stochastic Model Predictive Control of High-dimensional Systems. Braatz, R.D.: Stochastic Nonlinear Model Predictive Control with Probabilistic Constraints. Mesbah, A.: Stability for Receding-horizon Stochastic Model Predictive Control with Chance Constraints. Mesbah, A.: Stochastic Nonlinear Model Predictive Control with Efficient Sample Approximation of Chance Constraints. S.: PoCET: a Polynomial Chaos Expansion Toolbox for Matlab. A preprint of the corresponding paper, which includes more detailed information about its usage and features, is available here. PoCET was officially released and introduced on the 21st IFAC World Congress 2020. It contains a matrix language, a graphical notebook style interface, and a plot window.Euler is designed for higher level math such as calculus, optimization, and statistics.
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Therefore, PoCET's possible use-cases include (but are not limited to) Euler (now Euler Mathematical Toolbox or EuMathT) is a free and open-source numerical software package. as well as a variety of introductory and instructive examples.Įfficient algorithms for the involved computations have been designed in order to increase its applicability.several routines for system simulation and visualization of results,.routines for the calculation of stochastic moments from PCE coefficients,.projection and collocation-based calculation of PCE coefficients,.built-in handling of Gaussian, uniform, and beta probability density functions,.Its main contribution is the automatic generation of polynomial chaos expansion (PCE) for linear and nonlinear dynamic systems with time-invariant stochastic parameters or initial conditions. PoCET is a free and open-scource Polynomial Chaos Expansion Toolbox for MATLAB ®. Student Service and Course Guidance Service.Centre for Knowledge and Technology Transfer.Saxony’s Centre for Teaching and Learning.Electrical Engineering and Information Technology.
