Extension of integrated system optimization and parameter estimation to hierarchical control of steady state systems with output-dependent constraints

Lin, Jie; Hendawy, Z. M.; Roberts, P.D.

doi:10.1080/00207178808906022

Cited by 7 publications

(3 citation statements)

References 3 publications

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“…(Findeisen et al 1980), and therefore from assumption (ii) it is not difficult to prove that there exists an r, such that for any given v k -' E S(v·, r,), (62) is satisfied and furthermore, we have (Lin, et al 1988 a):…”

Section: (A) For Any V E S(v· R) Function Q(' V) Is Uniformly Monomentioning

confidence: 93%

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New coordination strategy for on-line hierarchical optimizing control of large scale industrial processes

Lin¹,

Amini²,

Roberts³

1991

International Journal of Control

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A new coordination strategy for hierarchical optimizing control is presented. Unlike the price coordination method this approach is not a primal and dual method and its convergence behaviour does not depend on the feature of the saddle point of the problem lagrangian. Compared with the price coordination method, this approach has two advantages. Firstly, its applicability conditions are easier to satisfy and secondly, its convergence behaviour is more desirable in terms of convergence rate and insensitivity of the hessian structure of the problem. A variable augmentation technique is employed to increase the flexibility of the iterative gain selection and to improve further the convergence behaviour of the method. Optimality and convergence analysis are provided for each different version of the algorithm presented. A comparative study between different versions of the algorithm presented and a single iterative integrated system optimization and parameter estimation (ISOPE) method with global feedback is also provided using computer simulation.

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Section: (A) For Any V E S(v· R) Function Q(' V) Is Uniformly Monomentioning

confidence: 93%

“…Many of these algorithms are basically different variations of the price coordination method (Findeisen et al 1980, Roberts 1979, Brdys and Roberts 1986, Lin et al 1988.…”

Section: Introductionmentioning

confidence: 99%

New coordination strategy for on-line hierarchical optimizing control of large scale industrial processes

Lin¹,

Amini²,

Roberts³

1991

International Journal of Control

Self Cite

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“…Convergence analysis of the algorithm to the true optimum of the process is presented by . Starting with the ISOPE algorithm, Roberts and coworkers present some variations, in order to include a wide range of industrial situations (Roberts, 1995), and take into account indirectly the process dependent inequality constraints (M. Lin, Chen, et al, 1988;Lin, Hendawy, et al, 1988;Michalska et al, 1985).…”

Section: Modifier-adaptation Methodologymentioning

confidence: 99%

Handling Uncertainties in Process Optimization

López¹,

Andrés²

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por estar ahí, acompañándome siempre con una palabra de aliento, un saludo cariñoso y una sonrisa desinteresada. Del mismo modo agradecer a mi familia adoptiva: Mónica, Fernando, Marina, Diana y Carlos por tratarme como uno más de ustedes y siempre darme ánimo. A Andrea por tu amor, compañía, compresión y todos estos años juntos que han sido los mejores de mi vida (junto con los que vendrán).

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Optimal Control Using Integrated Systems Optimisation and Parameter Estimation

Roberts

2001

IFAC Proceedings Volumes

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Extension of integrated system optimization and parameter estimation to hierarchical control of steady state systems with output-dependent constraints

Cited by 7 publications

References 3 publications

New coordination strategy for on-line hierarchical optimizing control of large scale industrial processes

New coordination strategy for on-line hierarchical optimizing control of large scale industrial processes

Handling Uncertainties in Process Optimization

Optimal Control Using Integrated Systems Optimisation and Parameter Estimation

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