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In this paper a control algorithm is developed for a small photovoltaic panel in order to maximize its generated power. The objective is to develop a numerically simple to implement method to control a buck dc-dc converter. The basic idea behind this research is to create an optimization block to determine the maximum power point according to the current radiation and temperature and to use its output...
The paper is dedicated to the systemic botany domain and analyzes the degree of affinity between the species, genera and families based on fractal theory. The research is conducted on the image information from Gentianaceae family plant, in order to determine their membership to the recognized genera Gentiana, Gentianella and Gentianopsis which were previously tagged into a single genus. Some concepts...
The purpose of his paper is to offer a numerical strategy in order to control the thermal processes with distributed parameters. Designing the control system for processes of this kind is usually difficult, mostly because of their non-standard dynamic model representation. Using energy balance equations for the process-a heat exchanger, the model is obtained. The proposed solution is to design a polynomial...
This paper intends to propose a performance adaptive-robust strategy for the design of control systems implemented on the industrial applications. This adaptive-robust control (ARC) strategy is taking into account both adaptive control advantages and robust control benefits and uses the same integral criterion for the process identification and for the control algorithm design. An optimal integral...
A real – time fire and explosion detection system is presented in this paper. The data being used was acquired by a Wireless Sensor Network, residing in a room. Noise is first rejected from the acquired samples, using an appropriate filter. Next, a model of the stochastic process is computed in real time using a robust – adaptive method. It will be used to predict the temperature's future evolution...
The paper proposes an extremal control method through the design of a RST controller for a step-down DC-DC Buck Converter fed by a BGSP - P225 PV array. The input voltage for the converter is kept at the photovoltaic panel's maximum value by means of search algorithms for determining the Maximum Power Point. The algorithms used are Coggin's algorithm for the single variable dependent model P(U) and...
The paper presents the results obtained by the authors during the research done on the efficient usage of photovoltaic panels and proposes performant numerical methods for the estimation of the maximum power point (MPP). The P(U) and P(I,U) models are computed for the BGSP - P225 solar panel model. For the first model, P(U), the paper proposes a polynomial interpolation search algorithm and for the...
This work treats the problem of blood pressure regulation in post cardiac surgery patients with an improved model and reinforcement learning. The latter is the focus of the present study, specifically showing that it is suitable for the automatic control of blood pressure in post cardiac surgery patients. The context is the direct use of clinical data, with no need for a patient model. Classical control,...
The adaptive-robust control strategy, proposed in this paper, combines the advantages of robust and adaptive control, while minimizing the computational load. Usually, a lot of mathematical operations are necessary, which limit the real time applicability of such strategies. By developing a simple, yet useful rule, the number of operations needed to determine if a new controller is needed has been...
This paper proposes polynomial robust RST control for the regulation of the blood pressure in post cardiac surgery patients. Results using Reinforcement Learning is also presented. Clinical applications require simple and effective controllers. This study's focus is to show that polynomial robust RST control is suitable for the blood pressure regulation in post cardiac surgery patients. A realistic...
This paper proposes a numerical control strategy for the automatic control of the blood pressure in post cardiac surgery patients. The model used presents itself as a system with distributed parameters (SDP). Motivated by the need for simple and effective controllers for clinical applications, this study's main claim is showing that the proposed solution, a robust polynomial R-S-T controller solution,...
This paper aims to describe two identification methods for Hammerstein systems. Both methods are design to approximate the nonlinear component by using families of simpler functions. The first algorithm combines linear least squares with PSO to approximate both linear and nonlinear component parameters, whilst the latter redesigns the unknown coefficients approximation problem into a nonlinear least...
This paper tackles the problematic of ship stabilization using a fault tolerant control strategy. The control strategy can be implemented to use optimal amounts of resources, during the loading and unloading operations on docked vessels. A mathematical model linking the ship's positioning and orientation with the forces and moments exerted upon the hull is required in order to develop an optimal control...
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