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The present work aims to contributing to the perspective of using lead acid batteries for the storage of energy produced by photovoltaic plants. After a review of different models tackling the performance of lead acid batteries, we opted for the electrochemical approach and based our study on the evolution of the electrolyte specific gravity during charge/discharge cycling tests of a 12 V lead acid...
This paper investigates the use of Dynamic Model Control (DMC) on an Activated Sludge Reactor. The reduced bio-reactor activated sludge ASM1 model, which describes the biological degradation of an activate sludge reactor, is designed based on several simplifications, as a Takagi Sugeno fuzzy model (TS). The TS model structure is based on a set of linear sub models, covering the process input-output...
At the beginning of this study a comprehensive literature review on application of artificial neural networks in the various domains of engineering was conducted. Followed by the presentation of artificial neural networks tested for the simulation study and mathematical models for determining global solar radiation. Artificial neural networks are used for the performance estimation the global solar...
Electric load forecasting is one of the most important areas in electrical engineering, due to its main role for economic and reliable operation in power systems. In particular, accurate medium and long-term forecasts have significant effect on grid expansion planning and future generating capacity scheduling. This paper uses the Algerian electricity demand observations to evaluate methods for medium...
This paper presents the design of predictive control with state constraints for the swing-up and stabilizing control of a cart with an inverted pendulum system where the state constraints are proposed on angle and velocity of pendulum, position and velocity of cart, Since the system has strong nonlinearity and inherent instability, a step of linearization is necessary to extract linear state space...
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