Theory and Practice of Recursive Identification
Explore this paper's citation graph
Summary
Methods of recursive identification deal with the problem of building mathematical models of signals and systems on-line, at the same time as data is being collected.
- Type
- book
- Published
- 1983-10-20
- Cited by
- 2,224
- References
- 0
- OpenAlex
- https://openalex.org/W1540723801
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:60920727
Keywords
Identification (biology), Computer science, Line (geometry), Management science, Mathematics
References
No references recorded for this paper.
Cited by
- Maximum likelihood estimations in a nonlinear self-exciting point process model
- Design procedure for nonlinear multivariable processes control
- Auto-SOM: Recursive Parameter Estimation for Guidance of Self-Organizing Feature Maps
- A discrete-time nonlinear Wiener model for the relaxation of soft biological tissues.
- Oscillator-based walking assistance: A model-free approach
- On-line learning with minimized change of the global mapping
- Algorithms for a Vehicle Dynamics Monitoring System, Based on Model Reference Structure
- GREY-BOX APPROACH FOR THE DIAGNOSIS, ANALYSIS AND CONTROL OF NONLINEAR PROCESS SYSTEMS
- Adaptive Neuro-fuzzy Control System by RBF and GRNN Neural Networks
- Blind equalization technique for cross correlation constant modulus algorithm (CC-CMA)
- ON THE QUADRATIC MODELING OF NONLINEAR PLANTS WITH APPLICATION TO AN ELECTRO-HYDRAULIC DRIVE
- Non-quadratic quality criteria in parameter estimation of continuous-time models
- Adaptive recursive higher order polynomial filter
- Identifiability and limit cycles
- Fluid Methods for Modeling Large, Heterogeneous Networks
- Fuzzy logic approach for estimation of longitudinal aircraft parameters
- Some Properties of RBF Network with Applications to System Identification
- Lossless medical image compression
- PREDICTION OF THE SIGNALS USING THE NEURONAL NETWORKS
- A CLASS OF ADAPTIVE NONLINEAR H ∞ –FILTERS WITH GUARANTEED l 2 -STABILITY
Related papers
- System identification
- Adaptive Signal Processing
- Matrix computations
- Linear Systems
- Adaptive Control
- System identification-A survey
- Identification and control of dynamical systems using neural networks
- Analysis of recursive stochastic algorithms
- Stochastic Processes and Filtering Theory
- Time Series Analysis, Forecasting, and Control