Design of an observer based optimal control via Block Pulse Functions

This paper deals with the synthesis of an observer based optimal control using the Block Pulse Functions (BPFs) parametrization technique. This tool transforms the optimal control problem to a mathematical programming problem that can be solved numerically. The importance of the proposed technique for the synthesis of the state observer with optimal control via BPFs has been illustrated through a numerical simulation study on an aircraft system model, which has highlighted the effectiveness of the developed method.