Kavli Affiliate: Biao Huang
| First 5 Authors: Xunyuan Yin, Song Bo, Jinfeng Liu, Biao Huang,
| Summary:
The development of advanced closed-loop irrigation systems requires accurate
soil moisture information. In this work, we address the problem of soil
moisture estimation for the agro-hydrological systems in a robust and reliable
manner. A nonlinear state-space model is established based on the
discretization of the Richards equation to describe the dynamics of
agro-hydrological systems. We consider that model parameters are unknown and
need to be estimated together with the states simultaneously. We propose a
consensus-based estimation mechanism, which comprises two main parts: 1) a
distributed extended Kalman filtering algorithm used to estimate several model
parameters; and 2) a distributed moving horizon estimation algorithm used to
estimate the state variables and one remaining model parameter. Extensive
simulations are conducted, and comparisons with existing methods are made to
demonstrate the effectiveness and superiority of the proposed approach. In
particular, the proposed approach can provide accurate soil moisture estimate
even when poor initial guesses of the parameters and the states are used, which
can be challenging to be handled using existing algorithms.
| Search Query: ArXiv Query: search_query=au:”Biao Huang”&id_list=&start=0&max_results=10