Everything about System identification
Statistical methods to build mathematical models of dynamical systems from measured data
The field of system identification uses statistical methods to build mathematical models of dynamical systems from measured data. System identification also includes the optimal design of experiments for efficiently generating informative data for fitting such models as well as model reduction. A common approach is to start from measurements of the behavior of the system and the external influences and try to determine a mathematical relation between them without going into many details of what is actually happening inside the system; this approach is called black box system identification. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: System identificationA 5-minute orientation
- Skim a recent paper: Biometric identification system using EEG signalsInfluential work since 2022
- Pick up a classic book: Control and Dynamic SystemsThe most-reprinted book on the subject
- Read the landmark paper: Fuzzy identification of systems and its applications to modeling and controlCited 16,002 times
- Go sideways: Nonlinear system identificationA closely related topic
- Go sideways: Digital controlA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Fuzzy identification of systems and its applications to modeling and control
Identification and control of dynamical systems using neural networks
Perspectives on system identification
Blind system identification
Quantum identification system
Bayesian system identification
System identification techniques
Quantum System Identification
🆕 Influential since 2022
📚 Books worth reading
Control and Dynamic SystemsCornelius T. Leondes · 1985
Immunochemical techniques for the identification and estimation of macromoleculesJørgen Clausen, J. Clausen · 1969
Internet of thingsHakima Chaouchi · 2010
RFID technology and applicationsJohn R. Williams · 2008
System identificationLennart Ljung · 1987
BiometricsWoodward, John D. Jr. · 2001
RFID design fundamentals and applicationsAlbert Lozano-Nieto · 2011
The Internet of thingsLu Yan · 2008
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Nonlinear system identification System identification is a method of identifying or measuring the mathematical model of a system from measurements of the system inputs and outputs. The…
- Digital control Digital control is a branch of control theory that uses digital computers to act as system controllers. Depending on the requirements, a digital control…
- Data-driven control system Data-driven control systems are a broad family of control systems, in which the identification of the process model and/or the design of the controller…
- Eigensystem realization algorithm The Eigensystem realization algorithm (ERA) is a system identification technique popular in civil engineering, in particular in structural health monitoring[cit…
- Model predictive control Model predictive control (MPC) is an advanced method of process control that is used to control a process while satisfying a set of constraints. Model…
- Structural identifiability In the area of system identification, a dynamical system is structurally identifiable if it is possible to infer its unknown parameters by measuring its…
- RISE controllers The robust integral of the sign of the error controllers or RISE controllers constitute a class of continuous robust control algorithms developed for nonlinear…
- Alpha beta filter An alpha beta filter (also called alpha-beta filter, f-g filter or g-h filter) is a simplified form of observer for estimation, data smoothing and control…