The extremum seeking problem is treated as a numerical optimization with dynamic system constraints. The convergence and robustness of the extremum seeking scheme is guaranteed by the numerical ...

The numerical optimization method for calculating regulators has been used more frequently. The toolkit of the method includes various regulator structures, including pseudolocal loops regulators, ...

We propose a new trust region algorithm for nonlinear constrained optimization problems. In each iteration of our algorithm, the trial step is computed by minimizing a quadratic approximation to the ...

In the data-driven era, data analysis has become a core skill across various industries. Python, with its inherent advantages ...

SciLab is widely used for: Numerical computations — algebra, calculus, optimization, and differential equations. Signal and image processing — analyzing signals, audio, and digital images. Control ...

Open Optimization This is part of the Open Optimization project - an ecosystem for open-source materials for teaching optimization and operations research. This ecosystem is being formed to host ...

Industry Trends: The market penetration rate of smart driving vehicles has surpassed 15%, with a monthly growth of 1.2 percentage points. Behind this growth rate is the deep collaboration between ...