The classical function expansion method based on minimizing l 2-norm of the response
residual employs various basis functions to represent the unknown force. Its difficulty lies in …

The standard sparse regularization method based on l 1-norm minimization for impact force
identification has already proved to be an interesting alternative to the classical …

Impact force identification remains a challenging inverse problem, where a small error in
structural responses may lead to a large deviation in the actual solution. Recently, sparse …

Many convex regularization methods, such as the classical Tikhonov regularization based
on l 2-norm penalty and the standard sparse regularization method based on l 1-norm …

As a typical inverse problem, impact force identification tends to be a challenge owing to its
ill-posedness. Recently, the sparse characteristic of the impact force in time domain are …

Identifying impact force from measured structural responses has been extensively studied.
Contact sensors such as accelerometers are often applied for recording the structural …

For impact force identification, as a severe ill-posed inverse problem, the wavelet-transform
method individually requires a large and accurate decomposition level to obtain a robust …

The classical l 2-norm-based regularization methods applied for force reconstruction inverse
problem require that the number of measurements should not be less than the number of …

Moving force identification (MFI) is essential for the bridge safety as it is one of the major
loads acting on the bridge deck. MFI techniques based on force dictionary are promising …

For force identification, the solution may differ from the desired force seriously due to the
unknown noise included in the measured data, as well as the ill-posedness of inverse …