Nonlinear Adaptive Flight Control Using Incremental Approximate Dynamic Programming and Output Feedback

摘要

This paper proposes a novel adaptive-control method for nonlinear systems, called iADP. It systematically applies a quadratic cost-to-go function and greatly simplifies the design process of the ADP. In addition, the incremental approach can deal with the nonlinearity of systems. The iADP method combines the advantages of both the LADP method and the incremental approach, and provides a model-free, effective adaptive flight controller for nonlinear systems. In addition to the iADP-FS, an iADP-OP is developed. The iADP-OP uses only. a history of measured input and output data from a dynamic nonlinear system to reconstruct the local model.