The Adaptive Dynamic Programming Toolbox
This toolbox provides a more precise and faster computational solution for optimal control problems, particularly beneficial for engineers and researchers working with continuous-time nonlinear systems.
This paper introduces the Adaptive Dynamic Programming Toolbox (ADPT) for solving optimal control problems in continuous-time nonlinear systems. It can operate in model-based mode using system dynamics or model-free mode using trajectory measurements, demonstrating superior computational precision and speed compared to other toolboxes in a satellite attitude control application.
The paper develops the Adaptive Dynamic Programming Toolbox (ADPT), which solves optimal control problems for continuous-time nonlinear systems. Based on the adaptive dynamic programming technique, the ADPT computes optimal feedback controls from the system dynamics in the model-based working mode, or from measurements of trajectories of the system in the model-free working mode without the requirement of knowledge of the system model. Multiple options are provided such that the ADPT can accommodate various customized circumstances. Compared to other popular software toolboxes for optimal control, the ADPT enjoys its computational precision and speed, which is illustrated with its applications to a satellite attitude control problem.