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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...
Compressed Sensing for Denoising in Adaptive System Identification
Sparse system identification compressed sensing reconstruction algorithm random filter least mean square
2012/4/3
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
2012/4/3
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...
Input Design for System Identification via Convex Relaxation
Input Design System Identification Convex Relaxation
2010/9/1
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...
An application of system identification in the two-degree-freedom VIV experiments
system identification two-degree-freedom vortex-induced vibration
2009/6/25
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...
会议信息
篇名
A modified neural network for dynamical system identification and control
语种
英文
撰写或编译
撰写
作者
Xuemei Ren,Jie Chen
第一作者单位
Beijing Institute of Technology
会议名称
The 14th World Congress of IFAC Inte...