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Search Results: 1 - 10 of 36470 matches for " genetic control "
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An Enhanced Genetic Programming Algorithm for Optimal Controller Design  [PDF]
Rami A. Maher, Mohamed J. Mohamed
Intelligent Control and Automation (ICA) , 2013, DOI: 10.4236/ica.2013.41013
Abstract:

This paper proposes a Genetic Programming based algorithm that can be used to design optimal controllers. The proposed algorithm will be named a Multiple Basis Function Genetic Programming (MBFGP). Herein, the main ideas concerning the initial population, the tree structure, genetic operations, and other proposed non-genetic operations are discussed in details. An optimization algorithm called numeric constant mutation is embedded to strengthen the search for the optimal solutions. The results of solving the optimal control for linear as well as nonlinear systems show the feasibility and effectiveness of the proposed MBFGP as compared to the optimal solutions which are based on numerical methods. Furthermore, this algorithm enriches the set of suboptimal state feedback controllers to include controllers that have product time-state terms.

Application of Genetic Control with Adaptive Scaling Scheme to Signal Acquisition in Global Navigation Satellite System Receiver
Chung-Liang Chang,Ho-Nien Shou
Algorithms , 2012, DOI: 10.3390/a5010056
Abstract: This paper presents a genetic-based control scheme that not only utilizes evolutionary characteristics to find the signal acquisition parameters, but also employs an adaptive scheme to control the search space and avoid the genetic control converging to local optimal value so as to acquire the desired signal precisely and rapidly. Simulations and experiment results show that the proposed method can improve the precision of signal parameters and take less signal acquisition time than traditional serial search methods for global navigation satellite system (GNSS) signals.
Sele??o de linhagens de melancia resistentes ao Watermelon mosaic virus e ao Papaya ringspot virus
Beserra Júnior, José Evando Aguiar;Figueira, Antonia dos Reis;Maluf, Wilson Roberto;
Ciência e Agrotecnologia , 2007, DOI: 10.1590/S1413-70542007000500044
Abstract: twenty advanced watermelon breeding lines, derived from the cross between cv. crimson sweet (susceptible) and pi 595201 (resistant to wmv and prsv-w), were screened for resistance to both potyviruses. the twenty lines, among with crimson sweet and pi 595201, were inoculated with either wmv or prsv-w, in two different greenhouse trials. plants were evaluated for symptoms 35 and 49 days after the first inoculation (dai), using a scale from 1 (no symptoms) to 5 (severe mosaic and foliar distortion). evaluations at 35 dai indicated that lines 1, 2 and 20 had good levels of resistance to both wmv and prsv-w, with ratings of 1,95, 1,80 and 2,25 for wmv, and of 2,50, 2,30 and 2,50 for prsv-w, respectively. lines 5, 7 and 13 were resistant to wmv only, whereas lines 3, 10 and 18 were resistant to prsv-w only. the reaction of the lines 49 dai remained essentially unchanged. the existence of lines with resistance to wmv only and to prsv-w only, along with lines with resistance to both viruses, indicates that resistance to wmv and prsv-w are under control of different genes.
Constrained Nonlinear Model Predictive Control of a Polymerization Process via Evolutionary Optimization  [PDF]
Masoud Abbaszadeh, Reza Solgi
Journal of Intelligent Learning Systems and Applications (JILSA) , 2014, DOI: 10.4236/jilsa.2014.61004
Abstract:

In this work, a nonlinear model predictive controller is developed for a batch polymerization process. The physical model of the process is parameterized along a desired trajectory resulting in a trajectory linearized piecewise model (a multiple linear model bank) and the parameters are identified for an experimental polymerization reactor. Then, a multiple model adaptive predictive controller is designed for thermal trajectory tracking of the MMA polymerization. The input control signal to the process is constrained by the maximum thermal power provided by the heaters. The constrained optimization in the model predictive controller is solved via genetic algorithms to minimize a DMC cost function in each sampling interval.

Augmented Lagrangian Genetic Algorithm Based Decentralized Control Configuration Design for Fluid Catalytic Cracking Units  [PDF]
Dauda Olurotimi Araromi, Kazzem Kolapo Salam, Aminah Abolore Sulayman
Advances in Chemical Engineering and Science (ACES) , 2016, DOI: 10.4236/aces.2016.61001
Abstract: In this work, three decentralized control configuration designs—independent, sequential and simultaneous designs—were used in multivariable feedback configurations for PI control of the riser and regenerator temperatures of FCCU in order to compare their performances. Control design was formulated as optimization problem to minimize infinity norm of weighted sensitivity functions subject to μ-interaction measure bound on diagonal complementary functions of the closed loop system. The optimization problem was solved using augmented Lagrangian genetic algorithm. Simulation results show that simultaneous and independent designs give good response with less overshoot and with no oscillation. Bound on μ-interaction measure is satisfied for both designs meaning that their nominal stabilities are guaranteed; however, it is marginal for simultaneous design. Simultaneous design outperforms independent design in term of robust performance while independent design gives the best performance in terms of robust stability. Sequential design gives the worst performance out of the three designs.
Heran?a da inflorescência composta da cultivar de feij?o-caupi cacheado
Machado, Cristina de Fátima;Freire Filho, Francisco Rodrigues;Ribeiro, Valdenir Queiroz;Costa, Débora Samara Sousa;Amorim, Ant?nia Fernandes de;
Ciência e Agrotecnologia , 2007, DOI: 10.1590/S1413-70542007000500011
Abstract: cowpea [vigna unguiculata (l.) walp.] presents simple inflorescence. however, two recessive mutant genes ci and bp that produce composite inflorescence were identified in cowpea. this characteristic was also observed in the brazillian local cultivar cacheado. the aim of this work was to investigate the genetic control of the composite inflorescence of cacheado cultivar. two crosses were performed freezergreen x cacheado and bettegreen x cacheado. the crosses and the f1, f2 and the backcrosses were obtained in greenhouse. in the field trial the randomized complete block design with four replications was used. each plot was represented by a row of 10 m long with 20 plants. the spacing between rows was of the 0,80 m. the experiment was carried out in the field, under irrigation by conventional aspersion at embrapa meio-norte, teresina city, piauí statate, the years of 1998 and 1999. the qui square test was used to analyse the data. the segregation pattern in both f2 generations fitted the 3 simple inflorescences: 1 composite inflorescence ratio and the backcrosses to the cacheado cultivar fitted the 1 simple inflorescence: 1 composite inflorescence ratio. the inheritance study showed that composite inflorescence of the cacheado cultivar is controlled by a single recessive gene.
An Integrated Use of Advanced T2 Statistics and Neural Network and Genetic Algorithm in Monitoring Process Disturbance  [PDF]
Xiuhong WANG
Journal of Software Engineering and Applications (JSEA) , 2009, DOI: 10.4236/jsea.2009.25044
Abstract: Integrated use of statistical process control (SPC) and engineering process control (EPC) has better performance than that by solely using SPC or EPC. But integrated scheme has resulted in the problem of “Window of Opportunity” and autocorrelation. In this paper, advanced T2 statistics model and neural networks scheme are combined to solve the above problems: use T2 statistics technique to solve the problem of autocorrelation; adopt neural networks technique to solve the problem of “Window of Opportunity” and identification of disturbance causes. At the same time, regarding the shortcoming of neural network technique that its algorithm has a low speed of convergence and it is usually plunged into local optimum easily. Genetic algorithm was proposed to train samples in this paper. Results of the simulation ex-periments show that this method can detect the process disturbance quickly and accurately as well as identify the dis-turbance type.
Adaptation of a fuzzy controller’s scaling gains using genetic algorithms for balancing an inverted pendulum
Duka Adrian-Vasile
Scientific Bulletin of the ''Petru Maior" University of T?rgu Mure? , 2011,
Abstract: This paper examines the development of a genetic adaptive fuzzy control system for the Inverted Pendulum. The inverted pendulum is a classical problem in Control Engineering, used for testing different control algorithms. The goal is to balance the inverted pendulum in the upright position by controlling the horizontal force applied to its cart. Because it is unstable and has a complicated nonlinear dynamics, the inverted pendulum is a good testbed for the development of nonconventional advanced control techniques. Fuzzy logic technique has been successfully applied to control this type of system, however most of the time the design of the fuzzy controller is done in an ad-hoc manner, and choosing certain parameters (controller gains, membership functions) proves difficult. This paper examines the implementation of an adaptive control method based on genetic algorithms (GA), which can be used on-line to produce the adaptation of the fuzzy controller’s gains in order to achieve the stabilization of the pendulum. The performances of the proposed control algorithms are evaluated and shown by means of digital simulation.
Sele??o de plantas resistentes e de fungicidas para o controle da podrid?o do colo do maracujazeiro causada por Nectria haematococca
Fischer, Ivan H.;Louren?o, Silvia A.;Martins, Marise C.;Kimati, Hiroshi;Amorim, Lilian;
Fitopatologia Brasileira , 2005, DOI: 10.1590/S0100-41582005000300006
Abstract: the collar rot of passion fruit (passiflora edulis f. flavicarpa), caused by nectria haematococca and phytophthora spp., is one of the main problems of the passion fruit producing areas in brazil, and is responsible for yield decrease and constant migrations of the culture. the control of the disease is basically preventive, and directed to avoiding the introduction of the pathogen in the area. the objectives of this research were: 1) to evaluate methods of inoculation of n. haematococca and the suscetibility of yellow passion fruit at different ages; 2) to evaluate "damping-off"; 3) to evaluate the behavior of different species of genera passsiflora and different genotyps of p. edulis f. flavicarpa to the pathogen; and 4) to carry out tests of chemical control. inoculations in the collar zone of plants provided higher levels of disease compared to inoculations in the radicular system. these results suggest that n. haematococca penetrates through wounds. mortality was higher in younger plants and when n. haematococca and phytophthora nicotianae were together. among the 17 species of genus passiflora tested for n. haematococca, p. nitida, p. laurifolia, and p. alata showed the lowest average number of lesions. the most resistant genotypes of p. edulis f. flavicarpa to n. haematococca were those from morretes (pr), sapucaí (sp), and the maguari variety. prochloraz, thiabendazole, thiram+thiabendazole, carbendazim, triflumizole, and captan controlled n. haematococca. the fungicides tested for curative treatment inhibited the development of the disease most effectvely when applied two days after inoculation when compared to seven days. prochloraz and carbendazim were outstanding for preventing the death of plants inoculated with n. haematococca.
Control of the lighting system using a genetic algorithm
?ongradac Velimir D.,Milosavljevi? Bo?ko B.,Veli?kovi? Jovan M.,Prebira?evi? Bogdan V.
Thermal Science , 2012, DOI: 10.2298/tsci120203075c
Abstract: The manufacturing, distribution and use of electricity are of fundamental importance for the social life and they have the biggest influence on the environment associated with any human activity. The energy needed for building lighting makes up 20-40% of the total consumption. This paper displays the development of the mathematical model and genetic algorithm for the control of dimmable lighting on problems of regulating the level of internal lighting and increase of energetic efficiency using daylight. A series of experiments using the optimization algorithm on the realized model confirmed very high savings in electricity consumption.
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