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In a previous work, a fully predictable and a sub-linear-runtime heuristic for the multiplication by a constant based on the radix-2r arithmetic was developed. It is called RADIX-2r. In this paper we focalize on the optimization of the average number of additions (Avg) to make RADIX-2r more competitive with the existing heuristics. In this work, the obtained results are compared only to the standard...
Adaptive modulation requires knowledge of channel state information (CSI) at the receiver by inserting pilot symbols in the transmitted signal. In This paper we focuses on the Adaptive Coded Modulation (ACM) system, where the data symbols and power allocation variable are optimized. The pilot spacing and power allocation are adaptively changed in an optimal way according to the conditions channel...
In this paper, we present semi-analytical modeling and optimization approaches based on genetic algorithm computation to improve the electrical performance of amorphous SiGe thin-film solar cell including multi-trench region. The key idea behind the proposed investigation is to model the electrical efficiency using 2D numerical database and analytical fitting. Semi-analytical expression of the efficiency...
This paper presents a novel terminal synergetic control for DC-DC buck converters. Since buck converters have high nonlinearity and uncertainty, an indirect adaptive control is developed based on recently developed synergetic control methodology. Fuzzy systems are used in an adaptive scheme to approximate the system using a nonlinear model while synergetic control guarantees robustness and the use...
This paper deals with a maintenance optimization problem for a second hand system. The system is purchased from a second hand market, upgraded and then moved to operate under a more severe operating environment than the initial one. The system degrades stochastically and its degradation process is impacted by the operating environment where it evolves. The present paper investigates the relationship...
This paper presents a new Structured H∞ Design Method of proportional-integral (PI) controllers for Grid Feeding Connected Voltage Source Converters, based on MATLAB tools for tuning linear control systems in the frequency domain. The study consists in elaborating optimization of an H∞ robust control strategy for a Voltage Source Inverter (VSI) connected to the grid through a LCL filter. The PI controller...
In this paper, a heuristic optimization approach based on Artificial Bee Colony (ABC) algorithm is applied to the extraction of the five electrical parameters of a photovoltaic (PV) module. The proposed approach has several interesting features such as no prior knowledge of the physical system and its convergence is not dependent on the initial conditions. The extracted parameters have been tested...
In this paper we consider the problem of the stability of switched nonlinear systems. We use an optimization strategy based on Linear Matrix Inequality (LMI) and a genetic algorithm (GA), to compute the region of attraction of each subsystem. The feedback control will be designed to guarantee global stability by means the multiply Lyapunov functions under a switching signal. The implementation and...
The aim of this paper is to present an approach to economically improve the overall performance, dependability, reliability and availability of electricity generation power plants in south of Algeria by integrating renewable energy. A prefeasibility study of a hybrid 9×1.9MW Diesel power generation plant in Tindouf (Algeria) from conventional and renewable energy sources will help to improve the performances...
In this paper a new variant of the artificial bee colony algorithm is proposed. It is a known fact that any good optimization algorithm requires a good balance between exploring and exploiting prominent regions of the search space. To this end, several modifications of the artificial bee colony basic algorithm are introduced in the proposed version. The efficiency of the algorithm is evaluated against...
This paper describes an application of Artificial Bee Colony (ABC) to load frequency control (LFC) in single, two and multi-area interconnected power systems. The proposed ABC algorithm is used to obtain the optimal values of the proportional-integral-derivation (PID) controller parameters based load frequency control (LFC). The principal function of the LFC loop is to control the frequency and active...
This article presents a review of several methods used for parameters extraction of solar cells. These methods are found in the literature since the 60s. At least thirty distinct methods are mentioned and categorized. Three of each category are discussed in details. The best one is chosen based on some criteria cited below. This paper could serve as a convenient reference for future work in solar...
In this paper, the problem of fault detection under disturbances for multi-input and multi output linear systems is investigated. The considered fault detection approach relies on the recently developed PI observer. A new algorithm is proposed to calculate the gain of the PI observer with the purpose of optimizing the fault detection performance. In the proposed approach, part of the gain matrix is...
This paper deals with the design of an observer-based extremum seeking controller for a bioprocess model. Parameters and state variables of the bioreactor are reconstructed by considering a high order sliding mode observer (HOSMO). The observer is coupled with a nonlinear controller whose design is based on feedback linearization, resulting in an extremum seeking controller for the optimization of...
In this paper, hybridization between two artificial intelligence techniques is proposed for the control of inverted pendulum. The controller combines a genetic algorithms technique optimization with fuzzy logic controller. We employ this procedure in a genetic algorithm (GA) to search for the optimal parameters (gains) of fuzzy logic controller. Numerical simulations verify the validity of the proposed...
In maintenance engineering, it is intended that in a Block Replacement Policy (BRP) model, items are removed and replaced by new ones at failure and at the beginning of each scheduled time kT (fe = 1, 2, …). It was proved that this kind of strategies has its limits and didn't cover others particular situations. This paper addresses a modified BRP model, that in the same conditions, instead of using...
In this paper we focus on the Job Shop Scheduling Problem (JSSP) using Priority Dispatching Rules. Simulation model for makespan optimization is proposed using different Dispatching Rules (DR) for each machine in the shop floor. Collected results are used for learning base construction. This database will be used to develop an inference model able to select the best DR for every new scheduling problem...
A communication satellites play a large role in the socio-economic development of a country, however the satellite communication system design trade-offs increase with the complexity of the payload requirements. For reliable and dynamic in-orbit satellite operations, the payload receiver must have the capability to adapt to emergent mission and postmission application requirements. The communication...
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...
This paper proposes to use a rule-based simulation-optimization approach for the dynamic scheduling and control of a robotic assembly cell. The approach is useful in both hierarchic control structure and hybrid control structure where the decision is distributed among the robotic cell entities that are products and resources (robots). Particularly, the approach make use of scheduling/dispatching rules...
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