An Improved Consistent Subspace Identification Method Using Parity Space for State-space Models
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
An Improved Consistent Subspace Identification Method Using Parity Space for State-space Models
Authors
Keywords
Consistency, instrumental variables, parity space, rank condition, subspace identification
Journal
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
Volume -, Issue -, Pages -
Publisher
Springer Nature
Online
2019-03-13
DOI
10.1007/s12555-018-0499-6
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Data-driven compensation method for sensor drift faults in digital PID systems with unknown dynamics
- (2018) Jun-Sheng Wang et al. JOURNAL OF PROCESS CONTROL
- Identification of Errors-in-Variables Models Using Dynamic Iterative Principal Component Analysis
- (2018) Deepak Maurya et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Recursive subspace identification subject to relatively slow time-varying load disturbance
- (2017) Jie Hou et al. INTERNATIONAL JOURNAL OF CONTROL
- Event-triggered fault detection framework based on subspace identification method for the networked control systems
- (2017) Kaixiang Peng et al. NEUROCOMPUTING
- Data-Driven Output-Feedback Fault-Tolerant Compensation Control for Digital PID Control Systems With Unknown Dynamics
- (2016) Jun-Sheng Wang et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Robust identification of OE model with constrained output using optimal input design
- (2016) Vladimir Stojanovic et al. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
- Data-driven fault-tolerant control design for wind turbines with robust residual generator
- (2015) Guang Wang et al. IET Control Theory and Applications
- A New Subspace Identification Approach Based on Principal Component Analysis and Noise Estimation
- (2015) Ping Wu et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Joint state and parameter robust estimation of stochastic nonlinear systems
- (2015) Vladimir Stojanovic et al. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
- Bias-eliminated subspace model identification under time-varying deterministic type load disturbance
- (2015) Tao Liu et al. JOURNAL OF PROCESS CONTROL
- A Review on Basic Data-Driven Approaches for Industrial Process Monitoring
- (2014) Shen Yin et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Data-driven design of monitoring and diagnosis systems for dynamic processes: A review of subspace technique based schemes and some recent results
- (2013) S.X. Ding JOURNAL OF PROCESS CONTROL
- Data-driven design of robust fault detection system for wind turbines
- (2013) Shen Yin et al. MECHATRONICS
- Subspace identification for fractional order Hammerstein systems based on instrumental variables
- (2012) Zeng Liao et al. INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
- Data-driven monitoring for stochastic systems and its application on batch process
- (2012) Shen Yin et al. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
- Order estimation of multivariable ill-conditioned processes based on PCA method
- (2012) Hua Yang et al. JOURNAL OF PROCESS CONTROL
- Robust identification of pneumatic servo actuators in the real situations
- (2011) V. Filipovic et al. FORSCHUNG IM INGENIEURWESEN-ENGINEERING RESEARCH
- A RECURSIVE 4SID FROM THE INPUT-OUTPUT POINT OF VIEW
- (2010) Hiroshi Oku et al. ASIAN JOURNAL OF CONTROL
- Subspace method aided data-driven design of fault detection and isolation systems
- (2009) S.X. Ding et al. JOURNAL OF PROCESS CONTROL
- Estimating ARMAX systems for multivariate time series using the state approach to subspace algorithms
- (2008) Dietmar Bauer JOURNAL OF MULTIVARIATE ANALYSIS
- Comparison of input signals in subspace identification of multivariable ill-conditioned systems
- (2008) Andrea Micchi et al. JOURNAL OF PROCESS CONTROL
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now