Aitken-Based Stochastic Gradient Algorithm for ARX Models with Time Delay
Sign Up to like & getrecommendations! Published in 2019 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-018-0998-y
Abstract: This paper proposes an Aitken-based stochastic gradient algorithm for ARX models with time delay. By using the redundant rule, the ARX model can be transformed into an augmented model. Based on the Aitken method, the… read more here.
Keywords: aitken based; stochastic gradient; gradient algorithm; based stochastic ... See more keywords
A simple convergence analysis of Bregman proximal gradient algorithm
Sign Up to like & getrecommendations! Published in 2019 at "Computational Optimization and Applications"
DOI: 10.1007/s10589-019-00092-y
Abstract: In this paper, we provide a simple convergence analysis of proximal gradient algorithm with Bregman distance, which provides a tighter bound than existing result. In particular, for the problem of minimizing a class of convex… read more here.
Keywords: proximal gradient; bregman; gradient algorithm; convergence ... See more keywords
Identification of look-up tables using gradient algorithm.
Sign Up to like & getrecommendations! Published in 2018 at "ISA transactions"
DOI: 10.1016/j.isatra.2018.02.012
Abstract: In view of the relatively low computational load, look-up tables (or maps) are usually used to approximate nonlinear function or characterize operating-point-dependent system variables in typical embedded applications. Aiming at the problem of off-line identifying… read more here.
Keywords: table parameters; look; gradient algorithm; look tables ... See more keywords
A modified conjugate gradient algorithm with backtracking line search technique for large-scale nonlinear equations
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Computer Mathematics"
DOI: 10.1080/00207160.2017.1290433
Abstract: ABSTRACT Conjugate gradient methods are widely used for solving unconstrained optimization and nonlinear equations, specially in large-scale cases. Since they own the attractive practical factors of simple computation and low memory requirement, interesting theoretical features… read more here.
Keywords: large scale; gradient algorithm; modified conjugate; nonlinear equations ... See more keywords
Two-stage multi-innovation stochastic gradient algorithm for multivariate output-error ARMA systems based on the auxiliary model
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Systems Science"
DOI: 10.1080/00207721.2019.1690720
Abstract: ABSTRACT This paper investigates the parameter estimation problem for multivariate output-error systems perturbed by autoregressive moving average noises. Since the identification model has two different kinds of parameters, a vector and a matrix, the gradient… read more here.
Keywords: model; gradient algorithm; two stage; auxiliary model ... See more keywords
Fractional Stochastic Gradient Algorithm for Time-Delayed Models With Piece-Wise Linear Input Using Self-Organizing Maps Method
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3228788
Abstract: Although stochastic gradient algorithm can identify linear systems with high efficiency. It is inefficient for nonlinear systems for the difficulty in the step-size designing. To overcome this dilemma, this paper proposes a fractional stochastic gradient… read more here.
Keywords: stochastic gradient; gradient algorithm; fractional stochastic; piece wise ... See more keywords
Snake: A Stochastic Proximal Gradient Algorithm for Regularized Problems Over Large Graphs
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2019.2890888
Abstract: A regularized optimization problem over a large unstructured graph is studied, where the regularization term is tied to the graph geometry. Typical regularization examples include the total variation and the Laplacian regularizations over the graph.… read more here.
Keywords: regularized problems; proximal gradient; gradient algorithm; algorithm ... See more keywords
Edge-Based Stochastic Gradient Algorithm for Distributed Optimization
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Network Science and Engineering"
DOI: 10.1109/tnse.2019.2933177
Abstract: This paper investigates distributed optimization problems where a group of networked nodes collaboratively minimizes the sum of all local objective functions. The local objective function of each node is further set as an average of… read more here.
Keywords: stochastic gradient; gradient algorithm; distributed optimization; gradient ... See more keywords
Maize (Zea mays L.) Stem Target Region Extraction and Stem Diameter Measurement Based on an Internal Gradient Algorithm in Field Conditions
Sign Up to like & getrecommendations! Published in 2023 at "Agronomy"
DOI: 10.3390/agronomy13051185
Abstract: The target region and diameter of maize stems are important phenotyping parameters for evaluating crop vitality and estimating crop biomass. To address the issue that the target region and diameter of maize stems obtained after… read more here.
Keywords: maize stems; gradient algorithm; target region; internal gradient ... See more keywords