Signal processing and control paradigms for industrial web and sheet manufacturing

Wellstead, P. E.; Zarrop, M. B.; Duncan, Stephen R.

doi:10.1002/(sici)1099-1115(200002)14:1<51::aid-acs600>3.0.co;2-a

Cited by 15 publications

(1 citation statement)

References 32 publications

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“…[17] Extensive research has been carried out on the Roesser model [18][19][20] and its extension to various fields. [21,22] The Roesser model have been used in realization of system state space models for a given transfer function with various approaches. [23][24][25] Control development and system identification for 2-D discrete systems based on the Roesser model have been investigated.…”

Section: Introductionmentioning

confidence: 99%

Boundary control of distributed parameter systems using a discrete state space approach

2014

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Many industrial processes exhibit spatially distributed behaviour and are distributed parameter systems (DPS). Much of the current literature has focused on the control of specific types of DPS, such as those modelled by hyperbolic or parabolic partial differential equations (PDEs). Discrete state space models for these systems (termed as 2-D systems) have also been studied extensively; however, additional techniques are required to deal with boundary control problems. In this article, a discrete 2-D state space model for boundary control problems is formulated. A controller is developed for boundary control problems using the discrete state space method. Simulation results indicate that the resulting boundary controller can achieve desirable performance for setpoint tracking.

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Section: Introductionmentioning

confidence: 99%