Design and application of nonlinear model‐based tracking control schemes employing DEKF estimation-Reference-Cited by-同舟云学术

Design and application of nonlinear model‐based tracking control schemes employing DEKF estimation

Published:2019-07-11 Issue:5 Volume:40 Page:938-960
ISSN:0143-2087
Container-title:Optimal Control Applications and Methods
language:en
Short-container-title:Optim Control Appl Meth

Author:

Bhadra Sanjay¹,Panda Atanu²^ORCID,Bhowmick Parijat³,Goswami Shinjinee⁴,Panda Rames C.⁵

Affiliation:

1. Department of Electrical EngineeringUniversity of Engineering and Management Kolkata India

2. Department of Electrical EngineeringInstitute of Engineering and Management Kolkata India

3. School of Electrical and Electronic EngineeringUniversity of Manchester Manchester UK

4. Department of Electronics and Communication EngineeringNetaji Subhas Engineering College Kolkata India

5. Department of Chemical EngineeringCentral Leather Research Institute Tamilnadu India

Publisher

Wiley

Subject

Applied Mathematics,Control and Optimization,Software,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/oca.2526

Reference59 articles.

1. Nonlinear model predictive control: from theory to practice;Allgower F;J Chin Inst Chem Eng,2004

2. Constrained model predictive control: Stability and optimality

3. Model predictive control: past, present and future

4. ForbesMG PatwardhanRS GopaluniRB.Model predictive control in industry: challenges and opportunities. In: Proceedings of the IFAC International Symposium on Advanced Control of Chemical Processes;2015;Whistler Canada.

5. A survey of industrial model predictive control technology

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A novel adaptive maximum correntropy cubature Kalman filter based on multiple fading factors;Transactions of the Institute of Measurement and Control;2024-02-14

2. Modified Active Disturbance Rejection Predictive Control: A fixed-order state–space formulation for SISO systems;ISA Transactions;2023-11

3. Maximum correntropy criterion variational Bayesian adaptive Kalman filter based on strong tracking with unknown noise covariances;Journal of the Franklin Institute;2023-06

4. A model-based tracking control scheme for nonlinear industrial processes involving joint unscented Kalman filter;Journal of Control and Decision;2023-05-31

5. Strong tracking square-root modified sliding-window variational adaptive Kalman filtering with unknown noise covariance matrices;Signal Processing;2023-03