Multiobjective hierarchical control architecture for greenhouse crop growth

Ramírez-Árias, Armando; Rodríguez, Francisco; Guzmán, José Luis; Berenguel, Manuel

doi:10.1016/j.automatica.2012.01.002

Cited by 96 publications

(32 citation statements)

References 22 publications

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“…A multiobjective optimization problem can be defined as the search for a vector of decision variables able to satisfy certain constraints and, at the same time, to optimize a vector of objective functions [36]. Therefore, a multiobjec-…”

Section: Optimal Selection Of T Max and β Parametersmentioning

confidence: 99%

Event-based state-space model predictive control of a renewable hydrogen-based microgrid for office power demand profiles

Castilla

Bordons

Visioli

2020

Journal of Power Sources

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This paper focuses on the design and implementation of an event-based control architecture to manage a renewable-based microgrid. This microgrid has renewable-energy generation and a hybrid energy storage system that uses electricity and hydrogen. The main load of the microgrid is the energy demand of an office. The primary control objective is to satisfy the load demand using the available renewable generation and stored energy while reducing the amount of energy purchased from the Utility Power Grid (UPG). To do that, the control architecture, which has been defined within an event framework, makes use of a set of state-space model predictive controllers which are selected as a function of a variable sampling period. To evaluate the performance of the proposed control architecture, simulation tests for a typical day of summer as well as an analytical study is performed. Furthermore, a comparison of the obtained results with a classic state-space model predictive control approach is also included. The obtained results show that the use of the event-based control architecture allows a significant reduction of the number of changes in the control action at the expense of an acceptable deterioration of set-point tracking for a microgrid with several types of electrochemical storage.

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Section: Optimal Selection Of T Max and β Parametersmentioning

confidence: 99%

Event-based state-space model predictive control of a renewable hydrogen-based microgrid for office power demand profiles

Castilla

Bordons

Visioli

2020

Journal of Power Sources

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“…When the players play a Nash equilibrium, no single one can achieve a lower cost by unilaterally changing his or her strategy. As in [5], the goal of the linear quadratic pricing problem is to design a set of matrices, {Rd iEI, such that players are induced to use feedback gains, {KdiEI; that is, {ui = -Kix }iEI becomes a Nash equilibrium for the game defined by the dynamics given in (2) and the costs given in (3).…”

Section: Review Of Pricing Design Feasibility Problemmentioning

confidence: 99%

Pricing design for robustness in linear quadratic games

Calderone

Ratliff

Sastry

2013

52nd IEEE Conference on Decision and Control

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“…Many of these processes have their limits genetically determined, but microclimate plays an important role (Rodríguez et al, 2015;Sánchez-Molina et al, 2014a). In this line, a greenhouse is an ideal setting for farming because climate variables can be manipulated to achieve optimal plant growth and development (Ramirez-Arias et al, 2012;Sanchez et al, 2012).…”

Section: Introductionmentioning

confidence: 99%