Game theory-based distributed predictive control: Application to shell oil fractionator

2015 ◽  
Author(s):  
Samira Roshany-Yamchi ◽  
Juan Manuel Escano ◽  
Niel Canty ◽  
Avi Anthony Cornelio
Keyword(s):  
Game Theory ◽  
Predictive Control ◽  
Control Application

Feasible-Cooperation Distributed Model Predictive Control Scheme Based on Game Theory*

2011 ◽  
Vol 44 (1) ◽  
pp. 386-391 ◽  
Author(s):  
Felipe Valencia ◽  
Jairo J. Espinosa ◽  
Bart De Schutter ◽  
Kateřina Staňková
Keyword(s):  
Game Theory ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Distributed Model ◽  
Distributed Model Predictive Control ◽  
Control Scheme

scholarly journals Fractional-Order Generalized Predictive Control: Application for Low-Speed Control of Gasoline-Propelled Cars

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
M. Romero ◽  
A. P. de Madrid ◽  
C. Mañoso ◽  
V. Milanés ◽  
B. M. Vinagre
Keyword(s):  
Predictive Control ◽  
Pid Controller ◽  
Control Strategies ◽  
Generalized Predictive Control ◽  
Unmodeled Dynamics ◽  
Mathematical Tool ◽  
Test Bed ◽  
External Disturbances ◽  
Highly Nonlinear ◽  
Control Application

There is an increasing interest in using fractional calculus applied to control theory generalizingclassicalcontrol strategies as the PID controller and developing new ones with the intention of taking advantage of characteristics supplied by this mathematical tool for the controller definition. In this work, the fractional generalization of the successful and spread control strategy known as model predictive control is applied to drive autonomously a gasoline-propelled vehicle at low speeds. The vehicle is a Citroën C3 Pluriel that was modified to act over the throttle and brake pedals. Its highly nonlinear dynamics are an excellent test bed for applying beneficial characteristics of fractional predictive formulation to compensate unmodeled dynamics and external disturbances.

Suboptimal Hybrid Model Predictive Control: Application to Sewer Networks

2008 ◽  
Vol 41 (2) ◽  
pp. 10021-10026 ◽  
Author(s):  
Carlos Ocampo-Martinez ◽  
Ari Ingimundarson ◽  
Alberto Bemporad ◽  
Vicenç Puig
Keyword(s):  
Model Predictive Control ◽  
Hybrid Model ◽  
Predictive Control ◽  
Control Application ◽  
Sewer Networks

scholarly journals Model predictive control application in the energy saving technology of basic oxygen furnace

2019 ◽  
pp. 124-126
Author(s):  
Yurii Mariiash ◽  
Oleksandr Stepanets
Keyword(s):  
Model Predictive Control ◽  
Energy Saving ◽  
Predictive Control ◽  
Basic Oxygen Furnace ◽  
Main Task ◽  
Steel Smelting ◽  
Resource Saving ◽  
Equipment Operation ◽  
Energy Saving Technology ◽  
Control Application

In today's conditions of development, maximization of profitability and ensuring technological safety of metallurgical production, the tasks of developing resource-saving technological modes of steel smelting are urgent. The fulfilment of the condition for the simultaneous achievement of the desired chemical composition and temperature of the metal is ensured by controlling the oxygen consumption and the position of the oxygen impeller lance, therefore solving the problem of managing the blasting of the converter bath is the main task. The mathematical modelling of the bath purge during steel smelting for energy-saving technology is executed. The method for solving Model Predictive Control with quadratic functionality in the presence of constraints is given. The algorithms of work aimed at reliability of equipment operation and energy saving are introduced. Implementation of the described solutions will contribute to improving efficiency and reliability of equipment, increasing the proportion of scrap and reducing the melting period without changing of technological process.  

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