Ricardo Salvador Sánchez Peña

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The paper describes the engineering and design of a doubly fed induction generator (DFIG), using back-to-back PWM voltage-source converters in the rotor circuit. A vector-control scheme for the supply-side PWM converter results in independent control of active and reactive power drawn from the supply, while ensuring sinusoidal supply currents. Vector(More)
The arbuscular mycorrhizal symbiosis is formed between arbuscular mycorrhizal fungi (AMF) and plant roots. The fungi provide the plant with inorganic phosphate (P). The symbiosis can result in increased plant growth. Although most global food crops naturally form this symbiosis, very few studies have shown that their practical application can lead to(More)
This work compares three well-known models and simulators in terms of their use in the analysis and design of glucose controllers for patients with Type 1 Diabetes Mellitus (T1DM). The objective is to compare them in practical scenarios which include: model uncertainty, time variance, nonlinearities, glucose measurement noise, delays between subcutaneous(More)
A control scheme was designed in order to reduce the risks of hyperglycemia and hypoglycemia in type 1 diabetes mellitus (T1DM). This structure is composed of three main components: an H∞ robust controller, an insulin feedback loop (IFL), and a safety mechanism (SM). A control-relevant model that is employed to design the robust controller is identified.(More)
A parametric extension to the timelfrequency robust identification framework is presented. The result can be applied to plants which have a clear parametric and non parametric separation, on which time and/or frequency experiments have been performed. The parametric portion of the model should be &ne in the unknown parameters, which includes practical(More)
In this paper we propose a new robust identification framework that combines both frequency and time-domain experimental data. The main result of the paper shows that the problem of obtaining a nominal model consistent with the experimental data and bounds on the identification error can be recast as a constrained finite-dimensional convex optimization(More)
Eden is a parallel extension of Haskell allowing the programmer to explicitly specify which expressions must be evaluated as parallel processes. Eden is implemented by modifying the Glasgow Haskell Compiler (GHC). This decision has saved a lot of work but has also produced some drawbacks: Some optimizing transformations done by GHC are not convenient for(More)