Input shaping design using sequential linear programming (SLP) for non-linear systems

Puneet Singla, Tarunraj Singh, S. G. Manyam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

This paper presents a sequential optimization technique for the design of optimal controllers. Linearizing the system model about nominal trajectories results in a linear programming problem which is used to select a perturbation to the nominal control to satisfy the boundary conditions and the state and control constraints. Sequential solution of linear programming problem where the linearized system and control influence matrices are time varying results in the optimal control. Two approaches wherein the perturbation control is constant and linearly varying within a sampling interval are tested on benchmark problems and the results are compared to illustrate the performance of the proposed technique.

Original languageEnglish (US)
Title of host publication2008 American Control Conference, ACC
Pages3275-3280
Number of pages6
DOIs
StatePublished - Sep 30 2008
Event2008 American Control Conference, ACC - Seattle, WA, United States
Duration: Jun 11 2008Jun 13 2008

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619

Other

Other2008 American Control Conference, ACC
CountryUnited States
CitySeattle, WA
Period6/11/086/13/08

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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    Singla, P., Singh, T., & Manyam, S. G. (2008). Input shaping design using sequential linear programming (SLP) for non-linear systems. In 2008 American Control Conference, ACC (pp. 3275-3280). [4586997] (Proceedings of the American Control Conference). https://doi.org/10.1109/ACC.2008.4586997