2015/01/29 by Fei Sun, Sun, Fei, Kamran Turkoglu +1
Engineering · Mathematics · #Advanced Control Systems Optimization #Control Systems and Identification #FOS: Mathematics #Fault Detection and Control Systems #Optimization and Control (math.OC) #math.OC
paper · pdf · doi:10.48550/arxiv.1501.07560
(submitted and under review in Optimal Control Applications and Methods)
arxiv created 2015/01/29 · openalex publication_date 2015/01/29 · arxiv updated 2015/01/30 · openalex created_date 2016/06/24 · openalex updated_date 2026/07/28
In control and engineering community, models generally contain a number of parameters which are unknown or roughly known. A complete knowledge of these parameters is critical to describe and analyze the dynamics of the system. This paper develops a novel approach of estimating unknown time-varying parameters of nonlinear systems based on real-time nonlinear receding horizon control strategy. For this purpose, the problem of estimation is converted into optimization problem which can be solved by backwards sweep Riccati method. Methodology is implemented on two nonlinear examples without providing any reference of the parameters. Results successfully demonstrate the fact that proposed algorithm is able to estimate unknown time-varying parameters of nonlinear systems effectively.