搜索结果: 1-15 共查到“System identification”相关记录16条 . 查询时间(0.154 秒)
Optimal excitation signal design for frequency domain system identification using semidefinite programming
The optimal excitation signal and the dispersion function semidefinite programming linear matrix inequality (lmi)
2015/8/11
The paper discusses two methods of optimal excitation signal design for identification with Maximum Likelihood parameter estimation: The ‘classical’, dispersion function based method, and a new, semid...
Optimal Excitation Signal Design for Frequency Domain System Identification Using Semidefinite Programming
Optimal Excitation Signal Design Frequency Domain System Identification Semidefinite Programming
2015/7/13
The paper discusses two methods of optimal excitation signal design for identification with Maximum Likelihood parameter estimation: The ‘classical’, dispersion function based method, and a new, semid...
System Identification of a Farm Vehicle Using Carrier-Phase Differential GPS
System Identification Farm Vehicle Carrier-Phase Differential GPS
2015/6/29
The automatic operation of farm vehicles can have great benefits both in farm productivity and hazardous or impossible operations. Automatic control offers many potential improvements over human contr...
System Identification and Robust Control of Farm Vehicles Using CDGPS
System Identification Robust Control Vehicles Using CDGPS
2015/6/29
Automatic control of agricultural vehicles has been a research goal for many years. Previous attempts have failed largely due to sensor limitations. With the advent of modern GPS receivers, a single l...
Linear system identification using stable spline kernels and PLQ penalties
linear system identification bias-variance trade off kernel-based regularization robust statistics interior point methods piecewise linear quadratic densities
2013/4/27
The classical approach to linear system identification is given by parametric Prediction Error Methods (PEM). In this context, model complexity is often unknown so that a model order selection step is...
Automated Bayesian System Identification with NARX Models
Automated Bayesian System Identification NARX Models
2013/5/2
We introduce GP-FNARX: a new model for nonlinear system identification based on a nonlinear autoregressive exogenous model (NARX) with filtered regressors (F) where the nonlinear regression problem is...
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...
Linear System Identification via Atomic Norm Regularization
System identification Atomic norms Hankel operators Optimization
2012/4/18
This paper proposes a new algorithm for linear system identification from noisy measurements. The proposed algorithm balances a data fidelity term with a norm induced by the set of single pole filters...
Semi-Blind System Identification in Wireless Relay Networks via Gaussian Process Iterated Conditioning on the Modes Estimation
Relay networks System Identification Gaussian processes Kernel methods
2011/7/7
This paper presents a flexible stochastic model developed for a class of cooperative wireless relay networks, in which the relay processing functionality is not known at the destination. The challenge...
Input Design for System Identification via Convex Relaxation
Input Design System Identification Convex Relaxation
2010/12/14
This paper proposes a new framework for the optimization of excitation inputs for system identification. The optimization problem considered is to maximize a reduced Fisher information matrix in any o...
Stability Analysis of Neural Networks-Based System Identification
Stability Analysis Neural Networks-Based System Identification
2009/9/4
This paper treats some problems related to nonlinear systems identification. A stability analysis neural network model for identifying nonlinear dynamic systems is presented. A constrained adaptive st...
On Blind MIMO System Identification Based on Second-Order Cyclic Statistics
Blind MIMO System Identification Second-Order Cyclic Statistics
2009/9/4
This letter introduces a new frequency domain approach for either MIMO System Identification or Source Separation of convolutive mixtures in cyclostationary context. We apply the joint diagonalization...
An Algorithm to Generate Representations of System Identification Errors
Algorithm Generate Representations System Identification Errors
2009/9/4
An algorithm to generate representations of system identification (SI) errors, which enables systematic testing of the performance of system equalization techniques, is proposed. With this algorithm, ...
An application of system identification in the two-degree-freedom VIV experiments
system identification two-degree-freedom vortex-induced vibration
2011/9/13
Experiments on the two-degree-freedom vortex-induced vibration (VIV) of a flexibly-mounted, rigid, smooth cylinder were performed at MIT. The research reported here is an analysis of the cylinder’s tr...
Experimental and theoretical dynamic system identification of damaged RC beams
Dynamic system identification Damage assessment
2009/1/14
Dynamic system identification of RC beams i.e. natural frequencies, damping ratios and mode shapes is of high importance due to their special role in most civil engineering structures. In this paper, ...