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Compressed Sensing for Denoising in Adaptive System Identification
Sparse system identification compressed sensing reconstruction algorithm random filter least mean square
2012/4/23
We propose a new technique for adaptive identification of sparse systems based on the compressed sensing (CS) theory. We manipulate the transmitted pilot (input signal) and the received signal such th...
Attack Detection and Identification in Cyber-Physical Systems -- Part I: Models and Fundamental Limitations
Attack Detection Identification Cyber-Physical Systems Models Fundamental Limitations
2012/2/29
Cyber-physical systems integrate computation, communication, and physical capabilities to interact with the physical world and humans. Besides failures of components, cyber-physical systems are prone ...
H~∞-IDENTIFICATION OF INFINITE-DIMENSIONAL LINEAR STOCHASTIC SYSTEMS
Infinite-dimensional system stochastic
2007/12/17
A method consisting of auto-regressive approximation in system identification and input normal realization truncation in model reduction is proposed for transfer function identification of infinite-di...
IDENTIFICATION ERROR BOUNDS AND ASYMPTOTIC DISTRIBUTIONS FOR SYSTEMS WITH STRUCTURAL UNCERTAINTIES
Noise nonlinear model mismatch observa
2007/8/7
This work is concerned with identification of systems that are subject to notonly measurement noises, but also structural uncertainties such as unmodeleddynamics, sensor nonlinear mismatch, and observ...