Output strutural controllability: a tool for integrated process design and control

Hopkins, Lisa; Lant, Paul; Newell, Bob

doi:10.1016/s0959-1524(97)00027-9

Cited by 11 publications

(7 citation statements)

References 13 publications

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“…Naturally, there exist a number of tools for the integrated design at the early stage. For example, (Hopkins et al 1998) have presented a design procedure aimed for eliminating all uncontrollable flowsheet designs based on a qualitative structural controllability analysis. The systematic approach developed here aims to be an accessible tool for initial process control evaluation starting from information collection.…”

Section: Systematic Approachmentioning

confidence: 99%

Control Design Tools for Intensified Solids Handling Process Concepts

Ohenoja

Paavola

Leiviskä

2018

Advances in Systematic Creativity

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Section: Systematic Approachmentioning

confidence: 99%

Control Design Tools for Intensified Solids Handling Process Concepts

Ohenoja

Paavola

Leiviskä

2018

Advances in Systematic Creativity

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“…Further modifications have been suggested by several authors (Chang and Yu, 1990;Wang et al, 2009;Huang, 2013), and one development of this model is used to analyze the controllability of the process that is the socalled output structural controllability (OSC) (Hopkins et al, 1998). The modification form reveals the loop control pairing for a system.…”

Section: Structural Model-based Fmeamentioning

confidence: 99%

Risk assessment of an oxygen-enhanced combustor using a structural model based on the FMEA and fuzzy fault tree

Chen

Qin

2014

Journal of Loss Prevention in the Process Industries

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“…Theory 1. Consider the uncertainty block ( 4) and the fuzzy model (5). Given the fuzzy controller (9), if there exists a common matrix P > 0 and the control gain K j satisfying…”

Section: Fuzzy Control Designmentioning

confidence: 99%

Integrated Design and Control under Uncertainty: A Fuzzy Modeling Approach

Lu¹,

Li²,

Duan³

et al. 2010

Ind. Eng. Chem. Res.

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A novel integration of design and control is proposed for the nonlinear process under uncertainty. The fuzzy modeling method is first employed to approximate the process, upon which fuzzy control rules are developed to achieve the stability, robustness and feasibility. Then, the steady-state economic design and the control system design are integrated into a unified objective function, which can guarantee the desirable economic and dynamic performances. Finally, the proposed method is compared with the traditional sequential method and an existing integration method on controlling the temperature profile of a nonlinear curing process. The comparison demonstrates that the proposed method will have the better performances than the other two methods.

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Output strutural controllability: a tool for integrated process design and control

Cited by 11 publications

References 13 publications

Control Design Tools for Intensified Solids Handling Process Concepts

Control Design Tools for Intensified Solids Handling Process Concepts

Risk assessment of an oxygen-enhanced combustor using a structural model based on the FMEA and fuzzy fault tree

Integrated Design and Control under Uncertainty: A Fuzzy Modeling Approach

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