Abstract

Nonlinear optimal control problems usually require solution using iterative procedures and, hence, they fall naturally in the realm of 2D systems where the two dimensions are response time horizon and iteration index, respectively. The paper employs 2D systems theory, in the form of unit memory repetitive process techniques, to analyse local stability behaviour of an algorithm, based on integrated system optimisation and parameter estimation, for solving continuous nonlinear dynamic optimal control problems where the system is described by a combination of differential and algebraic equations. It is shown that 2D systems theory can be usefully applied to analyse the properties of the algorithm.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.