Literature DB >> 27593952

Observer-based robust control of one-sided Lipschitz nonlinear systems.

Sohaira Ahmad1, Muhammad Rehan2, Keum-Shik Hong3.   

Abstract

This paper presents an observer-based controller design for the class of nonlinear systems with time-varying parametric uncertainties and norm-bounded disturbances. The design methodology, for the less conservative one-sided Lipschitz nonlinear systems, involves astute utilization of Young's inequality and several matrix decompositions. A sufficient condition for simultaneous extraction of observer and controller gains is stipulated by a numerically tractable set of convex optimization conditions. The constraints are handled by a nonlinear iterative cone-complementary linearization method in obtaining gain matrices. Further, an observer-based control technique for one-sided Lipschitz nonlinear systems, robust against L2-norm-bounded perturbations, is contrived. The proposed methodology ensures robustness against parametric uncertainties and external perturbations. Simulation examples demonstrating the effectiveness of the proposed methodologies are presented.
Copyright © 2016 ISA. Published by Elsevier Ltd. All rights reserved.

Keywords:  L(2) gain; Observer-based control; One-sided Lipschitz nonlinearity; Parametric uncertainty; Quadratic inner-boundedness

Year:  2016        PMID: 27593952     DOI: 10.1016/j.isatra.2016.08.010

Source DB:  PubMed          Journal:  ISA Trans        ISSN: 0019-0578            Impact factor:   5.468


  1 in total

1.  A novel hybrid soft computing optimization framework for dynamic economic dispatch problem of complex non-convex contiguous constrained machines.

Authors:  Ijaz Ahmed; Um-E-Habiba Alvi; Abdul Basit; Tayyaba Khursheed; Alwena Alvi; Keum-Shik Hong; Muhammad Rehan
Journal:  PLoS One       Date:  2022-01-26       Impact factor: 3.240

  1 in total

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