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


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
Number of pages6
StatePublished - 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


Other2008 American Control Conference, ACC
Country/TerritoryUnited States
CitySeattle, WA

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


Dive into the research topics of 'Input shaping design using sequential linear programming (SLP) for non-linear systems'. Together they form a unique fingerprint.

Cite this