In diesel engine after-treatment control technology, the accurate real-time of Diesel Oxidation Catalyst (DOC) outlet temperature is an important topic. To find a high-precision parameter identification algorithm for DOC system, this paper establishes zero-dimensional (0D) and one-dimensional (1D) mathematical models DOC, introduces Variable Forgetting Factor Least Squares(VFFRLS) Nonlinear Squ...

pedomodels have become a popular topic in soil science and environmentalresearch. they are predictive functions of certain soil properties based on other easily orcheaply measured properties. the common method for fitting pedomodels is to use classicalregression analysis, based on the assumptions of data crispness and deterministic relationsamong variables. in modeling natural systems such as s...

In this note a new high performance least squares parameter estimator is proposed. The main features of the are: (i) global exponential convergence guaranteed for all identifiable linear regression equations; (ii) it incorporates forgetting factor allowing to preserve alertness time-varying parameters; (iii) thanks addition mixing step relies on set scalar equations ensuring superior transient ...

An algorithm is given for finding optimal least squares exponential sum approximations to sampled data subject to the constraint that the coefficients appearing in the exponential sum are positive. The algorithm employs the divided differences of exponentials to overcome certain problems of ill-conditioning and is suitable for data sampled at noninteger times.

A conditional parametric ARX-model is an ARX-model in which the parameters are replaced by smooth functions of an, possibly multivariate, external input signal. These functions are called coe cientfunctions. A method, which estimates these functions adaptively and recursively, and hence allows for on-line tracking of the coe cientfunctions is suggested. Essentially, in its most simple form, thi...