A new trust region–sequential quadratic programming approach for nonlinear systems based on nonlinear model predictive control-Reference-Cited by-同舟云学术

A new trust region–sequential quadratic programming approach for nonlinear systems based on nonlinear model predictive control

Published:2018-10-01 Issue:6 Volume:51 Page:1071-1096
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Sun Z.B.¹²^ORCID,Sun Y.Y.¹³,Li Y.¹,Liu K.P.¹

Affiliation:

1. Department of Control Engineering, Changchun University of Technology, Changchun, PR China

2. Key Laboratory of Bionic Engineering of Ministry of Education, Jilin University, Changchun, PR China

3. School of Information Technology, Jilin Agriculture University, Changchun, PR China

Funder

National Natural Science Foundation of China

Jilin Province Science and Technology

Project of Science and Technology Development Plan for Jilin Province

Key Science and Technology Projects of Jilin Province

Significant Scientific and Technical Projects of Changchun

Industrial Innovation Special Funds Project of Jilin Province

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2018.1509960

Reference34 articles.

1. An SQP method for mathematical programs with vanishing constraints with strong convergence properties

2. On the Local and Superlinear Convergence of Quasi-Newton Methods

3. Efficient Numerical Methods for Nonlinear MPC and Moving Horizon Estimation

4. A pragmatic approach to distributed nonlinear model predictive control: Application to a hydrostatic drivetrain

5. A trust region-based approach to optimize triple response systems

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