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

Hua Ouyang; Guo Ping Liu; David Rees

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

Hua Ouyang, Guo Ping Liu, David Rees

School of Engineering and Digital Sciences

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

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 language	English
Pages (from-to)	771-789
Number of pages	19
Journal	Dynamics of Continuous, Discrete and Impulsive Systems Series B: Applications and Algorithms
Volume	15
Issue number	6
Publication status	Published - Dec 1 2008

Keywords

Networked control system
Nonlinearity
Perturbation
Robust control
Time-delay

ASJC Scopus subject areas

Discrete Mathematics and Combinatorics
Applied Mathematics

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abstract = "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.",

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N2 - 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.

AB - 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.

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KW - Perturbation

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KW - Time-delay

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