A C++ library implementing Sequential Quadratic Programming With a docker build and run environment
OptiNLC (Optimization of Non-Linear Control) is an open-source toolbox designed for solving optimization control problems. This documentation provides an overview of optimization problems, optimization control problems, and a guide on how to use the OptiNLC toolbox.
Docker and make required to package and build OptiNLC
- Clone the repo
- Clone the submodules
git submodule update --init --recursivemake runmake testOptiNLC (Optimization of Non-Linear Control) is an open-source toolbox designed for solving optimization control problems. This documentation provides an overview of optimization problems, optimization control problems, and a guide on how to use the OptiNLC toolbox.
An optimization problem involves finding the best solution from a set of feasible solutions. It consists of an objective function to be minimized or maximized, subject to a set of constraints. The goal is to identify the input values that result in the optimal value of the objective function.
Optimization control problems extend the concept of optimization to dynamic systems. In these problems, the goal is to find the optimal control inputs over a given time horizon to drive a dynamic system to an optimal state while satisfying constraints.
The OptiNLC toolbox is designed to handle optimization control problems efficiently. Below is an example template demonstrating the usage of the toolbox.
// ... (Same code as provided in the previous response)