Robust control of networked predictive control system with perturbation in the nonlinear process

Hua Ouyang, Guo Ping Liu, David Rees

Research output: Contribution to journalArticle

1 Citation (Scopus)


This paper studies the robust control problem of a class of Networked Predictive Nonlinear Control Systems (NPNCS), where the nonlinear process is linearisable and contains non-vanishing perturbations. The robust control of the NPNCS is considered. An event-driven networked predictive controller is applied to stabilise the system. A method is developed to study the stability of the closedloop unperturbed system by formulating the problem as a sub-optimal problem constrained by a series of inequalities. This method is also generalised to the robust stability analysis of the perturbed NPNCSs. The efficiency of the control scheme is illustrated using a numerical example.

Original languageEnglish
Pages (from-to)771-789
Number of pages19
JournalDynamics of Continuous, Discrete and Impulsive Systems Series B: Applications and Algorithms
Issue number6
Publication statusPublished - Dec 2008
Externally publishedYes



  • Networked control system
  • Nonlinearity
  • Perturbation
  • Robust control
  • Time-delay

ASJC Scopus subject areas

  • Applied Mathematics
  • Discrete Mathematics and Combinatorics

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