Moving horizon estimation meets multi-sensor information fusion: Development, opportunities and challenges

L Zou, Z Wang, J Hu, QL Han - Information Fusion, 2020 - Elsevier
Since the proposal of moving horizon (MH) estimation in 1960s, the MH estimation approach
has drawn ever-increasing research interests due mainly to its inherent capability of …

Reliable estimation of automotive states based on optimized neural networks and moving horizon estimator

R Song, Y Fang, H Huang - IEEE/ASME Transactions on …, 2023 - ieeexplore.ieee.org
Accurate estimation of vehicle sideslip angle and attitude angles are essential for the safety
control and lateral behaviour of driving performance. In this article, the variation of wheels …

Model predictive path-following controller for generalised n-trailer vehicles with noisy sensors and disturbances

N Deniz, F Jorquera, M Torres-Torriti… - Control Engineering …, 2024 - Elsevier
Abstract Generalised N-Trailer (GNT) vehicles, commonly used in agriculture, mining, and
industry, consist of a tractor pulling multiple passive trailers. This paper presents a nonlinear …

Absolute joint-angle estimation of Generalised N-Trailer vehicles equipped with incremental encoders using moving horizon estimation

N Deniz, F Jorquera, FA Cheein - ISA transactions, 2023 - Elsevier
Abstract The Generalised N-Trailer (GNT) vehicle is a tool for field operations that optimises
harvesting and transportation tasks, offering a highly scalable payload using only one …

State-space-varied moving horizon estimation for real-time PPP in the challenging low-cost antenna and chipset

P Liu, KV Ling, H Qin, J Lu - GPS Solutions, 2023 - Springer
The moving horizon estimation (MHE) always plays an important estimation role in low-cost
devices. We introduced the MHE into the precise point positioning (PPP). However, the …

Robust stability of moving horizon estimation for non‐linear systems with bounded disturbances using adaptive arrival cost

N Deniz, M Murillo, G Sanchez… - IET Control Theory & …, 2020 - Wiley Online Library
The robust stability and convergence to the true state of a moving horizon estimator based
on an adaptive arrival cost are established for non‐linear detectable systems in this study …

Consensus-based distributed receding horizon estimation

Z Huang, W Lv, H Chen, H Rao, Y Xu - ISA transactions, 2022 - Elsevier
This paper studies the distributed state estimation over sensor networks based on receding
horizon estimation (RHE). Firstly, a new scheme of centralized RHE is introduced, which …

States and parameters estimation for induction motors based on a new adaptive moving horizon estimation

SA Talla Ouambo, A Teplaira Boum… - Journal of Electrical …, 2022 - Wiley Online Library
This paper investigates the joint states and parameters estimation problem for induction
machine. In order to develop new states and parameters estimation methods that greatly …

Enhancement of the moving horizon estimation performance based on an adaptive estimation algorithm

SA Talla Ouambo, AT Boum, AM Imano… - Journal of Control …, 2021 - Wiley Online Library
Although moving horizon estimation (MHE) is a very efficient technique for estimating
parameters and states of constrained dynamical systems, however, the approximation of the …

Parameter optimization of moving horizon estimation based on hybrid intelligent algorithm

B Zhang, A Jiang, Y Qi, J Jiang, H Wang… - Asian Journal of …, 2023 - Wiley Online Library
In the application of moving horizon estimation (MHE) algorithm, the window length will
affect the estimation accuracy and the computing efficiency. For this kind of problem, a …