Linear Programming

Borne, Pierre; Popescu, Dan; Filip, Florin Gheorghe; Ștefănoiu, Dan; Dubuisson, Bernard

doi:10.1002/9781118577899.ch1

Cited by 3 publications

(8 citation statements)

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“…In order to solve the problem (5), a nonlinear programming method is proposed through penalty techniques [15,16], which will compute the optimal solution x*. The penalty technique turns (5) into the equivalent problem: min…”

Section: Thermodynamics Of the Pyrolysis Chemical Processmentioning

confidence: 99%

“…The minimization for criterion functions I(x) and C(x) is performed with the evolutionary direct search algorithm BOX, recommended for solving the problems formulated in (6). The BOX method described in [15,16], constructs a COMPLEX geometric figure in the n-dimensional space, which moves in a controlled sequence towards the solution x*, by reflection, expansion, or contraction operations.…”

Section: Thermodynamics Of the Pyrolysis Chemical Processmentioning

confidence: 99%

“…The optimal operating point of the process can be determined by solving an optimization problem [15,16]. The solution of this problem represents the optimal decision for the hydrogen pyrolysis installation.…”

Section: Supervisory Level Designmentioning

confidence: 99%

“…To solve the problem in (34), the BOX algorithm was used, as it is recommended for nonlinear criterion functions with explicit constraints [15,16,20]. The BOX method generates, in the search space, the COMPLEX geometric figure that initially respects the restrictions in (42).…”

Section: Supervisory Level Designmentioning

confidence: 99%

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Advanced Control for Hydrogen Pyrolysis Installations

et al. 2020

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Today, hydrogen production plays an important part in the industry due to the increasing use of hydrogen in significant domains, such as chemistry, transportation, or energy. In this paper, we aim to design a numerical control solution based on the thermodynamic analysis of the pyrolysis reactions for hydrogen production and to present novel research developments that highlight industrial applications. Beginning with the evaluation of the technological aspects for the pyrolysis chemical process, the paper studies the thermodynamic evaluation of the system equilibrium for the pyrolysis reactions set, to recommend an appropriate automatic control solution for hydrogen pyrolysis installations. The numerical control architecture is organized on two levels, a control level dedicated to key technological parameters, and a supervisory decision level for optimizing the conversion performances of the pyrolysis process. The data employed for modelling, identification, control, and optimization tasks, were obtained from an experimental platform. The scientific results can be implemented on dedicated equipment, to achieve an optimal exploitation of the industrial pyrolysis process.

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Section: Thermodynamics Of the Pyrolysis Chemical Processmentioning

confidence: 99%

Section: Thermodynamics Of the Pyrolysis Chemical Processmentioning

confidence: 99%

Section: Supervisory Level Designmentioning

confidence: 99%

Section: Supervisory Level Designmentioning

confidence: 99%

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Advanced Control for Hydrogen Pyrolysis Installations

et al. 2020

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“…According to the maximum membership degree principle, the conclusion is "agree". Multiply the raw score (1)(2)(3)(4)(5) We can see the factor "attitude of users" get the highest score (60.5846). Factor "implementation results" follows (57.0085).…”

Section: The Evaluation Of Erp Implementation Of Company Amentioning

confidence: 99%

System Selection and Performance Evaluation for Manufacturing Company’s ERP Adoption

Niu¹,

Chen

Huang

et al. 2017

INT J COMPUT COMMUN

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Enterprise Resource Planning (ERP) system is an important investment for manufacturing companies that can affect their competitive advantages and operational performance. However, the implementation of ERP can be a complicated process, where many strategic decisions have to be made. We focus on two critical decisions in ERP implementation: (1) ERP system selection, and (2) ERP operational performance evaluation. For the former, we use Analytic Hierarchy Process (AHP) to design the key performance indicator (KPI) system. For the later, we combine AHP and Fuzzy Integrated Evaluation (FIE) methods to effectively evaluate the implementation of ERP. We use a typical industrial example and data analysis to illustrate our framework.

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Optimal Identification and Metaheuristic PID Control of a Two-Tank System

Ștefănoiu

Culita

2021

Electronics

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In the modern optimization context, this paper introduces an optimal PID-based control strategy for a two-tank installation, namely ASTANK2. The process model was identified by using raw and spline smoothed measured data, respectively. Two PID controller configurations, a standard (regular) one (PID-R) and a non-standard one (PID-N), were considered for each type of model, resulting in four regulators. The optimal tuning parameters of each regulator were obtained by a searching approach relying on a combination of two metaheuristics. Firstly, an improved version of the Hill Climbing algorithm was employed to comprehensively explore the searching space, aiming to find fairly accurate tuning parameters. Secondly, an improved version of the Firefly Algorithm was proposed to intensively refine the search around the previously found optimal parameters. A comparative analysis between the four controllers was achieved in terms of performance and robustness. The simulation results showed that all optimal controllers yielded good performance in the presence of exogenous stochastic noise (bounded error tracking, setpoint tracking, reduced overshoot, short settling time). Robustness analysis is extensive and illustrates that the PID-R controllers are more robust to model uncertainties, whilst PID-N controllers are more robust to tracking staircase type references.

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Linear Programming

Cited by 3 publications

References 0 publications

Advanced Control for Hydrogen Pyrolysis Installations

Advanced Control for Hydrogen Pyrolysis Installations

System Selection and Performance Evaluation for Manufacturing Company’s ERP Adoption

Optimal Identification and Metaheuristic PID Control of a Two-Tank System

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