封面圖片

Application of conjugate gradient approach for nonlinear optimal control problem with model-reality differences

In this paper, an efficient computational algorithm is proposed to solve the nonlinear optimal control problem. In our approach, the linear quadratic optimal control model, which is adding the adjusted parameters into the model used, is employed. The aim of applying this model is to take into accoun...

Saved in:

書目詳細資料
Main Authors:	Leong, Wah June, Sie, Long Kek, Teo, Kok Lay, Sim, Sy Yi
格式:	Article
語言:	English
出版:	Scientific Research Publishing 2018
在線閱讀:	http://psasir.upm.edu.my/id/eprint/73176/1/MODEL.pdf http://psasir.upm.edu.my/id/eprint/73176/ https://www.scirp.org/journal/paperinformation.aspx?paperid=86927
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

相似書籍

Application of conjugate gradient approach for nonlinear optimal control problem with model-reality difference
由: Sie, Long Kek, et al.
出版: (2018)

Discrete-time nonlinear stochastic optimal control problem based on stochastic approximation approach
由: Kek, Sie Long, et al.
出版: (2018)

A gradient algorithm for optimal control problems with model-reality differences
由: Sie, Long Kek, et al.
出版: (2015)

Efficient output solution for nonlinear stochastic optimal control problem with model-reality differences
由: Kek, Sie Long, et al.
出版: (2015)

A gauss-newton approach for nonlinear optimal control problem with model-reality differences
由: Sie, Long Kek, et al.
出版: (2017)

Filtering solution of nonlinear stochastic optimal control problem in discrete-time with model reality differences
由: Sie, Long Kek, et al.
出版: (2012)

Diagonal preconditioned conjugate gradient algorithm for unconstrained optimization
由: Ng, Choong Boon, et al.
出版: (2014)

Output regulation for discrete-time nonlinear stochastic optimal control problems with model-reality differences
由: Kek, Sie Long, et al.
出版: (2015)

A three-term conjugate gradient method with nonmonotone line search for unconstrained optimization
由: Moyi, Aliyu Usman, et al.
出版: (2016)

A scaled three-term conjugate gradient method for unconstrained optimization
由: Arzuka, Ibrahim, et al.
出版: (2016)

Nonlinear least squares parameter estimation problem using Levenberg-Marquardt method
由: Kaw, Wei Ching, et al.
出版: (2017)

Global convergence analysis of a nonlinear conjugate gradient method for unconstrained optimization problems
由: Abdullahi, I., et al.
出版: (2016)

A New Nonlinear Conjugate Gradient Coefficient for Unconstrained Optimization
由: Mustafa, Mamat, et al.
出版: (2015)

A Modified Nonlinear Conjugate Gradient Method for Unconstrained Optimization
由: Mustafa, Mamat, et al.
出版: (2015)

Testing of linear models for optimal control of second-order dynamical system based on model-reality differences
由: Kek, Sie Long, et al.
出版: (2021)

The sufficient descent condition of nonlinear conjugate gradient method
由: Basri, Sri Mazzura, et al.
出版: (2018)

A new modification of nonlinear conjugate gradient formula
由: Mustafa, Mamat, et al.
出版: (2016)

Testing of linear models for optimal control of second-order dynamical system based on model-reality differences
由: Kek, Sie Long, et al.
出版: (2021)

Testing of linear models for optimal control of second-order dynamical system based on model-reality differences
由: Kek, Sie Long, et al.
出版: (2021)

Optimal control based on nonlinear conjugate gradient method in cardiac electrophysiology
由: Ng, Kin Wei
出版: (2013)

A new coefficient of conjugate gradient methods for nonlinear unconstrained optimization
由: Mustafa, Mamat, et al.
出版: (2016)

An improvement of stochastic gradient descent approach for mean-variance portfolio optimization problem
由: S. W. Su, Stephanie, et al.
出版: (2021)

Sufficient descent three term conjugate gradient method via symmetric rank-one update for large-scale optimization
由: Moyi, Aliyu Usman, et al.
出版: (2016)

Comparison of conjugate gradient method on solving unconstrained optimization problems
由: Maulana, Malik, et al.
出版: (2020)

A new class of nonlinear conjugate gradient with global convergence properties
由: Basri, S., et al.
出版: (2018)

An integrated optimal control algorithm for discrete-time nonlinear stochastic system
由: Kek, Sie Long, et al.
出版: (2010)

A new multi-step gradient method for optimization problem
由: Mahboubeh, Farid, et al.
出版: (2010)

Theory and implementation of gradient-based modifications of a model-reality differences algorithm for solving nonlinear optimal control problems
由: Ahmad, Rohanin
出版: (2005)

Curve tracking of nonlinear dynamic system using linear state-space model
由: Sie, Long Kek, et al.
出版: (2024)

A modified form of conjugate gradient method for unconstrained optimization problems
由: Ghani, N.H.A., et al.
出版: (2016)

Improved stochastic gradient descent algorithm with mean-gradient adaptive stepsize for solving large-scale optimization problems
由: Zulkifli, Munierah, et al.
出版: (2023)

A new modified conjugate gradient method under the strong Wolfe line search for solving unconstrained optimization problems
由: Ishak, M. I., et al.
出版: (2022)

New conjugate gradient methods for solving large-scale unconstrained optimization problems
由: Mohd Rivaie Mohd Ali
出版: (2014)

Numerical comparison between classical conjugate gradient and modified conjugate gradient / Mohd Afif Hamran
由: Hamran, Mohd Afif
出版: (2018)

A new class of nonlinear conjugate gradient coefficients with exact and inexact line searches
由: Mustafa, Mamat, et al.
出版: (2015)

Solving optimal control problem of monodomain model using hybrid conjugate gradient methods
由: Ng, K. W., et al.
出版: (2012)

A new nonlinear conjugate gradient coefficient under strong Wolfe-Powell line search
由: Mustafa, Mamat, et al.
出版: (2017)

RMIL/AG: A new class of nonlinear conjugate gradient for training back propagation algorithm
由: Basri, S.M.M., et al.
出版: (2018)

Global convergence of a new class nonlinear conjugate gradient method with exact line search
由: Mamat, M., et al.
出版: (2021)

Gradient method with multiple damping for large-scale unconstrained optimization
由: Sim, Hong Seng, et al.
出版: (2019)