Measurement configuration for integrated electric–gas systems via observability analysis considering gas flow dynamics by Zeming Chen, Zhigang Li, Huajian Li, Jiahui Zhang, Yixuan Li, Jiehui Zheng

“…Abstract State estimation plays an important role in the monitoring and control of integrated electric–gas systems (IEGSs), but it faces limitations due to insufficient measurement configurations and low data redundancy in these systems; additional measurement configurations are needed to increase the overall system observability. …”
Get full text

A survey on the visual perception of humanoid robot by Teng Bin, Hanming Yan, Ning Wang, Milutin N. Nikolić, Jianming Yao, Tianwei Zhang

“…This review aims to provide a comprehensive overview of recent advancements in visual perception applied to humanoid robots, specifically focusing on applications in state estimation and environmental interaction. By summarizing key developments and analyzing the challenges and opportunities in these areas, this paper seeks to inspire future research that can unlock new capabilities for humanoid robots, enabling them to better navigate complex environments, perform intricate tasks, and interact seamlessly with humans.…”
Get full text

Modeling of the Land Mobile Satellite Channel considering the Terminal’s Driving Direction by Marie Rieche, Alexander Ihlow, Daniel Arndt, Fernando Pérez-Fontán, Giovanni Del Galdo

“…Moreover, we propose a statistical LMS channel model whose parameters are obtained via an image-based state estimation method. The image-based method is verified by a comparison with measured radio frequency signal levels. …”
Get full text

Detecting Attacks and Estimating States of Power Grids from Partial Observations with Machine Learning by Zheng-Meng Zhai, Mohammadamin Moradi, Ying-Cheng Lai

“…That is, full state observation of the whole power grid is not feasible, so attack detection and state estimation need to be done with only limited, partial state observations. …”
Get full text

Remaining Useful Life Estimation Based on Asynchronous Multisource Monitoring Information Fusion by Yanyan Hu, Shuai Qi, Xiaoling Xue, Kaixiang Peng

“…Finally, the probability distribution of RUL is obtained using the fused degradation state estimation and the updated identification result of the model parameters. …”
Get full text

Impact of moving target on underwater positioning by using state measurement by Tippireddy Srinivasa Reddy, Rajeev Arya

“…A moving target state estimation (MTSE) algorithm is proposed to eliminate the false measurements from the moving targets and to measure the localization of moving targets with the help of the propagation speed of targets. …”
Get full text

Development of Macroscopic Cell-Based Logistic Lane Change Prediction Model by Christina Ng, Susilawati Susilawati, Md Abdus Samad Kamal, Irene Mei Leng Chew

“…This paper aims at developing a macroscopic cell-based lane change prediction model in a complex urban environment and integrating it into cell transmission model (CTM) to improve the accuracy of macroscopic traffic state estimation. To achieve these objectives, first, based on the observed traffic data, the binary logistic lane change model is developed to formulate the lane change occurrence. …”
Get full text

Change detection in the dynamics of an intracellular protein synthesis model using nonlinear Kalman filtering by Gerasimos G. Rigatos, Efthymia G. Rigatou, Jean Daniel Djida

“…For the linearized equivalent of the dynamical system, state estimation can be performed using the Kalman Filter recursion. …”
Get full text

An observer for a nonlinear age-structured model of a harvested fish population by Diène Ngom, A. Iggidir, Aboudramane Guiro, Abderrahim Ouahbi

“…This study shows how some tools from nonlinear control theorycan help to deal with the state estimation problem in the field of renewableresource management.…”
Get full text

Multi-modal framework for battery state of health evaluation using open-source electric vehicle data by Hongao Liu, Chang Li, Xiaosong Hu, Jinwen Li, Kai Zhang, Yang Xie, Ranglei Wu, Ziyou Song

“…The proposed paradigm exhibits considerable potential for numerous applications in state estimation and diagnostics in multi-sensor systems. …”
Get full text

Electrochemical Impedance Spectroscopy-Based Characterization and Modeling of Lithium-Ion Batteries Based on Frequency Selection by Yuechan Xiao, Xinrong Huang, Jinhao Meng, Yipu Zhang, Vaclav Knap, Daniel-Ioan Stroe

“…Consequently, the accuracy of the impedance model can be enhanced at a specific frequency, simplifying the impedance model and facilitating the development of advanced battery state estimation methods.…”
Get full text

A Study of Coupling Parameter Estimation Implemented by 4D-Var and EnKF with a Simple Coupled System by Guijun Han, Xinrong Wu, Shaoqing Zhang, Zhengyu Liu, Ionel Michael Navon, Wei Li

“…It is found that both algorithms can improve the representation of air-sea coupling processes through CPE compared to state estimation only. These simple model studies provide some insights when parameter estimation is implemented with a coupled general circulation model for improving climate estimation and prediction initialization.…”
Get full text

Estimation and prediction method of lithium battery state of health based on ridge regression and gated recurrent unit by Ziwei Dai, Aikui Li, Wei Sun, Shenwu Zhang, Hao Zhou, Ren Rao, Quan Luo

“…Simulation results demonstrate that the proposed health indicators effectively assess lithium battery health, the health state estimation errors mean absolute error (MAE) and root mean squared error (RMSE) based on the ridge regression model are within 1.5% and 2%, and the health state prediction errors MAE and RMSE based on GRU model are within 1%. …”
Get full text

Interacting Large Language Model Agents Bayesian Social Learning Based Interpretable Models by Adit Jain, Vikram Krishnamurthy

“…Third, we propose a stochastic control framework to delay herding and improve state estimation accuracy under two settings: 1) centrally controlled LLMAs and 2) autonomous LLMAs with incentives. …”
Get full text

Observer-Based H∞ Fuzzy Synchronization and Output Tracking Control of Time-Varying Delayed Chaotic Systems by Kuan-Yi Lin, Tung-Sheng Chiang, Chian-Song Chiu, Wen-Fong Hu, Peter Liu

“…Third, combining both a fuzzy observer for state estimation and a controller (solved from generalized kinematic constraints) output tracking can be achieved. …”
Get full text

A Binocular Vision-Assisted Method for the Accurate Positioning and Landing of Quadrotor UAVs by Jie Yang, Kunling He, Jie Zhang, Jiacheng Li, Qian Chen, Xiaohui Wei, Hanlin Sheng

“…The system incorporates a Kalman filter-based target motion state estimation method and a binocular vision-based depth camera target height estimation method to achieve precise positioning. …”
Get full text

Observer-Based Bounded Control for Discrete Time-Delay Uncertain Nonlinear Systems by Bei Wu, Mou Chen, Xiaoming Chen

“…A bounded controller is proposed for a class of uncertain discrete time-delay systems with nonlinearity and disturbance based on state estimator and disturbance observer technique. A state estimator is developed to estimate the unmeasured system state vector. …”
Get full text

Observer-Based Robust Passive Control for a Class of Uncertain Neutral Systems: An Integral Sliding Mode Approach by Ruiping Xu, Zhen Liu, Cunchen Gao, Huimin Xiao

“…Then, a SM controller is synthesized to guarantee the reachability of the sliding surface predefined in the state estimate space. Finally, a numerical example shows the feasibility and superiority of the obtained result.…”
Get full text

Approximate Prediction-Based Control Method for Nonlinear Oscillatory Systems with Applications to Chaotic Systems by Thiago P. Chagas, Pierre-Alexandre Bliman, Karl H. Kienitz

“…Some aspects of aPBC are evaluated in the present work, particularly its robustness to low future states estimation precision is exemplified.…”
Get full text

Optimal Maneuver Strategy of Observer for Bearing-Only Tracking in Threat Environment by Renke He, Shuxin Chen, Hao Wu, Zhuowei Liu, Jianhua Chen

“…The quantization method was used to discretize the BOT process and calculate the transition matrix of Markov chain; to achieve quantization in the beginning of each period, CKF was applied to provide the initial state estimate and the corresponding error covariance. …”
Get full text