☆ 4.6 Article

Receding Horizon H2-FIR Filtering for Uncertain Disturbed Systems With Initial and Data Errors

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2022)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Automation & Control Systems

Predictive Tracking Under Persisten Disturbances and Data Errors Using H2 FIR Approach

Yuriy Shmaliy et al.

Summary: This article presents a robust predictor for industrial processes that ensures performance even under unspecified impacts and data errors. The predictor is tested in predictive tracking of a moving robot using ultrawideband technology, and it is found to be more robust than other predictors in various noise conditions.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2022)

添加到收藏夹

Article Automation & Control Systems

Bias-Constrained H2 Optimal Finite Impulse Response Filtering for Object Tracking Under Disturbances and Data Errors

Eli G. Pale-Ramon et al.

Summary: The paper introduces the design of the H-2-OUFIR filter and its application in object tracking. Experimental results demonstrate that the filter outperforms other filters in short-term performance.

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY (2022)

添加到收藏夹

Article Automation & Control Systems

Uncertain disturbed systems: Robust H2-OUFIR filtering under measurement errors

Juan J. Lopez Solorzano et al.

Summary: This article focuses on uncertain disturbed systems in linear discrete-time state-space with initial and measurement errors. It introduces a novel bias-constrained a posteriori H2$$ {H}_2 $$ optimal unbiased finite impulse response (OUFIR) state observer and a suboptimal bias-constrained H2$$ {H}_2 $$-FIR filtering algorithm using linear matrix inequality. The proposed OUFIR state observer achieves a better tradeoff between accuracy and robustness compared to other filters, verified by an example of an uncertain system and error matrices.

INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING (2022)

添加到收藏夹

Letter Engineering, Aerospace

Robust H2-OFIR Filtering: Improving Tracking of Disturbed Systems Under Initial and Data Errors

Jorge A. Ortega-Contreras et al.

Summary: In this article, a novel approach is proposed to develop a robust H-2-OFIR filter for disturbed systems under initial and measurement errors. It is shown that the proposed filter outperforms other filters in terms of accuracy and robustness in GPS-based tracking of moving vehicles.

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS (2022)

添加到收藏夹

Article Automation & Control Systems

Reduced Order Positive Filter Design for Positive Uncertain Discrete-Time Linear Systems

Amanda Spagolla et al.

Summary: This letter investigates the problems of reduced order H-2 and H-infinity positive filter design for positive uncertain discrete-time linear systems. It proposes new LMI conditions which treat the filter matrices as variables, solving the issue of not being able to obtain optimal filters through standard LMI methods under the positivity constraint.

IEEE CONTROL SYSTEMS LETTERS (2022)

添加到收藏夹

Article Engineering, Electrical & Electronic

A Novel H2 Approach to FIR Prediction Under Disturbances and Measurement Errors

Jorge Ortega-Contreras et al.

Summary: A novel approach for H-2 FIR prediction and biased-constrained suboptimal H-2 FIR filtering algorithm are proposed. The performance of the H-2-OUFIR predictor is investigated and compared with Kalman and unbiased FIR predictors.

IEEE SIGNAL PROCESSING LETTERS (2021)

添加到收藏夹

Article Automation & Control Systems

Sparse Sensing and Optimal Precision: An Integrated Framework for H2/H∞ Optimal Observer Design

Vedang M. Deshpande et al.

Summary: This letter proposes a method to determine the optimal sensor precision and observer gain to achieve specified accuracy in state estimates, parameterizing the scaling of exogenous inputs corresponding to sensor noise to achieve sparseness. The optimization is conducted with constraints guaranteeing specified accuracy in state estimates, defined in terms of H-2 or H-infinity norms of the error dynamics. The results are applied to the linearized longitudinal model of an F-16 aircraft.

IEEE CONTROL SYSTEMS LETTERS (2021)

添加到收藏夹

Article Automation & Control Systems

Robust Kalman Filtering With Probabilistic Uncertainty in System Parameters

Sunsoo Kim et al.

Summary: In this letter, a robust Kalman filtering framework is proposed for systems with probabilistic uncertainty in system parameters. The uncertainty is propagated using conditional expectations and polynomial chaos expansion framework, showing better performance in terms of estimation error and rate of convergence compared to existing robust filters.

IEEE CONTROL SYSTEMS LETTERS (2021)

添加到收藏夹

Article Automation & Control Systems

Receding Horizon Control for Station Inventory Management in a Bike-Sharing System

Rebecca M. A. Swaszek et al.

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2020)

添加到收藏夹

Article Engineering, Electrical & Electronic

A New Unbiased FIR Filter With Improved Robustness Based on Frobenius Norm With Exponential Weight

Choon Ki Ahn et al.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS (2018)

添加到收藏夹

Article Automation & Control Systems

Towards Encrypted MPC for Linear Constrained Systems

Moritz Schulze Darup et al.

IEEE CONTROL SYSTEMS LETTERS (2018)

添加到收藏夹

Article Automation & Control Systems

Unbiased Finite Impluse Response Filtering AN ITERATIVE ALTERNATIVE TO KALMAN FILTERING IGNORING NOISE AND INITIAL CONDITIONS

Yuriy S. Shmaliy et al.

IEEE CONTROL SYSTEMS MAGAZINE (2017)

添加到收藏夹

Article Engineering, Electrical & Electronic

Continuous-Time Deadbeat H2 FIR Filter

Choon Ki Ahn et al.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS (2017)

添加到收藏夹

Article Engineering, Electrical & Electronic

Unified Maximum Likelihood Form for Bias Constrained FIR Filters

Shunyi Zhao et al.

IEEE SIGNAL PROCESSING LETTERS (2016)

添加到收藏夹

Article Automation & Control Systems

Taxi Dispatch With Real-Time Sensing Data in Metropolitan Areas: A Receding Horizon Control Approach

Fei Miao et al.

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2016)

添加到收藏夹

Article Automation & Control Systems

Robust Stability and Tracking for Operator-Based Nonlinear Uncertain Systems

Shuhui Bi et al.

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2015)

添加到收藏夹

Article Automation & Control Systems

Model-based H2 adaptive filter for 3D positioning and tracking systems

Tiago Gaspar et al.

AUTOMATICA (2014)

添加到收藏夹

Article Engineering, Electrical & Electronic

H2 Sampled-Data Filtering of Linear Systems

Matheus Souza et al.

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2014)

添加到收藏夹

Article Automation & Control Systems

LMI-Based Gain Synthesis for Simple Robust Quadrotor Control

Tyler Ryan et al.

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2013)

添加到收藏夹

Article Automation & Control Systems

Time-variant linear optimal finite impulse response estimator for discrete state-space models

Yuriy S. Shmaliy et al.

INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING (2012)

添加到收藏夹

Article Automation & Control Systems

Discrete-time mixed H2/H∞ nonlinear filtering

M. D. S. Aliyu et al.

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL (2011)

添加到收藏夹

Article Engineering, Electrical & Electronic

Linear Optimal FIR Estimation of Discrete Time-Invariant State-Space Models

Yuriy S. Shmaliy

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2010)

添加到收藏夹

Article Automation & Control Systems

Supply Chain Management by H-Infinity Control

Mauro Boccadoro et al.

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2008)

添加到收藏夹

Article Chemistry, Analytical

On field calibration of an electronic nose for benzene estimation in an urban pollution monitoring scenario

S. De Vito et al.

SENSORS AND ACTUATORS B-CHEMICAL (2008)

添加到收藏夹

Article Engineering, Aerospace

Explicit formulas for two state Kalman, H-2 and H-infinity target tracking filters

PL Rawicz et al.

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS (2003)

添加到收藏夹

Article Engineering, Electrical & Electronic

Mixed H2/H∞ deconvolution of uncertain periodic FIR channels

S Wang et al.

SIGNAL PROCESSING (2001)

添加到收藏夹

Article Engineering, Electrical & Electronic

Fixed-order H2 and H∞ optimal deconvolution filter designs

BS Chen et al.

SIGNAL PROCESSING (2000)

添加到收藏夹

Letter Engineering, Electrical & Electronic

H-2 optimal inverse of periodic FIR digital filters

S Wang et al.

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2000)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.