Filtering-Based Accelerated Estimation Approach for Generalized Time-Varying Systems With Disturbances and Colored Noises
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Filtering-Based Accelerated Estimation Approach for Generalized Time-Varying Systems With Disturbances and Colored Noises
Authors
Keywords
-
Journal
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
Volume 70, Issue 1, Pages 206-210
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Online
2022-09-16
DOI
10.1109/tcsii.2022.3206792
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Interval Type-2 Fuzzy Passive Filtering for Nonlinear Singularly Perturbed PDT-Switched Systems and Its Application
- (2021) Xinmiao Liu et al. Journal of Systems Science & Complexity
- Application of regularized Savitzky–Golay filters to identification of time-varying systems
- (2021) Maciej Jan Niedźwiecki et al. AUTOMATICA
- Optimal Adaptive Filtering Algorithm by Using the Fractional-Order Derivative
- (2021) Xiao Zhang et al. IEEE SIGNAL PROCESSING LETTERS
- Hierarchical Estimation Approach for RBF-AR Models With Regression Weights Based on the Increasing Data Length
- (2021) Yihong Zhou et al. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
- Data filtering-based multi-innovation forgetting gradient algorithms for input nonlinear FIR-MA systems with piecewise-linear characteristics
- (2021) Yamin Fan et al. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
- Accelerated Gradient Descent Estimation for Rational Models by Using Volterra Series: Structure Identification and Parameter Estimation
- (2021) Jing Chen et al. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
- Sliding Mode Dual-Channel Disturbance Rejection Attitude Control for a Quadrotor
- (2021) Jiaxin Xiong et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Accelerating Federated Learning via Momentum Gradient Descent
- (2020) Wei Liu et al. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
- Probabilistic Time-Varying Parameter Identification for Load Modeling: A Deep Generative Approach
- (2020) Mahdi Khodayar et al. IEEE Transactions on Industrial Informatics
- A Variational Bayesian Causal Analysis Approach for Time-Varying Systems
- (2020) Rahul Raveendran et al. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
- Stability Analysis of the Modified Levenberg–Marquardt Algorithm for the Artificial Neural Network Training
- (2020) Jose de Jesus Rubio IEEE Transactions on Neural Networks and Learning Systems
- Annealed gradient descent for deep learning
- (2019) Hengyue Pan et al. NEUROCOMPUTING
- Deep Learning-Based Time-Varying Parameter Identification for System-Wide Load Modeling
- (2019) Mingjian Cui et al. IEEE Transactions on Smart Grid
- Investigation of a Wireless Real-Time pH Monitoring System Based on Ruthenium Dioxide Membrane pH Sensor
- (2019) Yi-Hung Liao et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- A Limitation of Gradient Descent Learning
- (2019) John Sum et al. IEEE Transactions on Neural Networks and Learning Systems
- Adaptive Tracking for Uncertain MIMO Nonlinear Systems With Time-Varying Parameters and Bounded Disturbance
- (2019) Zhengqiang Zhang et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Optimization with a simulated annealing algorithm of a hybrid system for renewable energy including battery and hydrogen storage
- (2018) Weiping Zhang et al. ENERGY
- Adaptive Estimation of Time-Varying Parameters With Application to Roto-Magnet Plant
- (2018) Jing Na et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Error-Driven Nonlinear Feedback Design for Fuzzy Adaptive Dynamic Surface Control of Nonlinear Systems With Prescribed Tracking Performance
- (2017) Hairong Dong et al. IEEE Transactions on Systems Man Cybernetics-Systems
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started