Algorithm 652: HOMPACK: a suite of codes for globally convergent homotopy algorithms
ACM Transactions on Mathematical Software (TOMS)
Nonlinear black-box modeling in system identification: a unified overview
Automatica (Journal of IFAC) - Special issue on trends in system identification
On Tikhonov regularization, bias and variance in nonlinear system identification
Automatica (Journal of IFAC)
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
An unbiased equation error identifier and reduced-orderapproximations
IEEE Transactions on Signal Processing
Bias-remedy least mean square equation error algorithm for IIRparameter recursive estimation
IEEE Transactions on Signal Processing
Globally optimal rational approximation using homotopy continuationmethods
IEEE Transactions on Signal Processing
The composite regressor algorithm for IIR adaptive systems
IEEE Transactions on Signal Processing
A relationship between the recursive least squares update andhomotopy continuation methods
IEEE Transactions on Signal Processing
Hybrid methods using genetic algorithms for global optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Artificial parameter homotopy methods for the DC operating point problem
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
On a natural homotopy between linear and nonlinear single-layer networks
IEEE Transactions on Neural Networks
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Homotopy methods are applied to the non-convex optimization problem that arises in prediction error estimation using ARMAX model structures. A concrete algorithm is proposed, and its performance is studied by Monte Carlo simulation.