Search Results - (( java implication based algorithm ) OR ( parameters variation strategy algorithm ))
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1
Robustness Analysis Of An Optimized Controller Via Particle Swarm Algorithm
Published 2017“…The finding shows that the SMC that utilized the PSO algorithm parameters are capable to produce smaller robustness index values, which demonstrated better robustness characteristic in confront with the variation of the system parameter.…”
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2
Backstepping Integral Super Twisting Sliding Mode Control Algorithm For Autonomous Underwater Glider
Published 2019“…The BISTSMC was tested for external disturbance and parameter variations. The BISTSMC has been benchmarked its performances with other sliding mode control (SMC) strategies to evaluate the chattering suppression of the controllers. …”
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3
Assessment of energy storage and renewable energy sources-based two-area microgrid system using optimized fractional order controllers
Published 2024“…Simulation results reveal that the AOA-based CFOID-FOPIDN outperforms other existing algorithms, such as particle swarm optimization (PSO), bat algorithm (BAT), moth flame optimization (MFO), and whale optimization algorithm (WOA). …”
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4
Recent Evolutionary Algorithm Variants for Combinatorial Optimization Problem
Published 2023“…Two main aspects are used to classify the evolutionary algorithm variants: population-based and evolutionary strategies (variation and replacement). …”
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5
Development of controller for an underactuated autonomous underwater vehicle (AUV)
Published 2019“…The BSTSMC was tested for external disturbance and parameter variations. The BSTSMC has been benchmarked its performances with other sliding mode control (SMC) strategies to evaluate the chattering suppression of the controllers. …”
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Research Report -
6
Application of nature-inspired algorithms and artificial intelligence for optimal efficiency of horizontal axis wind turbine / Md. Rasel Sarkar
Published 2019“…The proposed approach contains several benefits including simple implementation, tolerance of turbine parameter or several nonparametric uncertainties. Robust control of the generator output power with wind-speed variations can also be considered as a big advantage of this strategy.…”
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7
Optimized controllers for stabilizing the frequency changes in hybrid wind-photovoltaic-wave energy-based maritime microgrid systems
Published 2024“…Finally, the controller being proposed in this paper was tested for robustness with parameter deviations of +25%, −20%, and − 40% from the nominal values, and proved to be the proposed 2DOF-TIDN controller parameters demonstrate significant robustness in effectively managing the uncertainties and parametric variations.…”
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8
State-dependent sliding mode control for three-phase induction motor drives
Published 2014“…A sliding mode control, which offers great potential to deal with uncertainties such as parameter variation and external load disturbances, is examined. …”
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Model-based hybrid variational level set method applied to object detection in grey scale images
Published 2024“…This algorithm leverages an improved multi-scale mean filter to mitigate grayscale inhomogeneity while reducing the impact of scale parameter selection. …”
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11
Gradient auto-tuned Takagi-Sugeno Fuzzy Forward control of a HVAC system using predicted mean vote index
Published 2023“…The proposed TSFF control method is tested in simulation taking into account practical variations such as thermal parameters of buildings, weather conditions and other indoor residential loads. …”
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Novel Architecture for Transactive Energy Management Systems with Various Market Clearing Strategies
Published 2023“…An optimal energy management algorithm is also proposed for time scheduling the operation of flexible loads and batteries, considering dynamics in end-users' behavior, variations in utility parameters, and the intermittent nature of renewable power generation. …”
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13
Monitoring the coefficient of variation using a variable sample size EWMA chart
Published 2018“…These processes could not be monitored by conventional mean and/or standard deviation-type charts. One of the strategies to improve the performance of CV charts is by incorporating adaptive features, i.e. by varying the chart's parameters according to past sample information. …”
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14
Comparative study of fuzzy logic controller and proportional integral derivative controller on DC-DC buck converter / Muhammad Jamhuri Yusoff
Published 2010“…The dc-dc converters are used to supply power to different system with highly efficient and have nonlinear behavior. The variations on the main parameter gave affected on the stability, thus desired amount of voltage couldn't be supply. …”
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15
Optimisation of fed-batch fermentation process using deep reinforcement learning
Published 2023“…When dealing with model mismatch (±15% parameter variation in critical growth and maximum glucose uptake rate) and process disturbance (±20% deviation in substrate feeding concentration), the proposed algorithm was able to handle the changes with a minor effect on the yeast yield up to 13.78% and 2.52%, respectively, across all different initial condition cases. …”
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16
Development of energy storage system for storing regenerative braking energy from train
Published 2022“…ETrax software is used for dynamic load flow simulations to obtain an accurate estimation of the energy recovery captured in the system in each operation mode by incorporating train headway interval variations, algorithm and the effects of train schedules on the operating mode.…”
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Final Year Project / Dissertation / Thesis -
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PSO-tuned pid sliding surface of sliding mode control for an electro-hydraulic actuator system
Published 2017“…The EHA system is commonly exposed to the parameter variations, disturbances, and uncertainties, which are caused by the changes in the operating conditions including supply pressure, total moving mass, and friction. …”
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18
Multi leader particle swarm optimization for optimal placement and sizing of multiple distributed generation for a micro grid
Published 2023“…This algorithm is capable of surmounting the aforementioned drawbacks especially premature convergence, through its reward-based dynamic leader assignment and self-learning strategies. …”
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Design and optimization of a compressed air energy storage (CAES) power plant by implementing genetic algorithm
Published 2016“…Therefore, one can conclude that the future design modifications of the system as well as the variation in operation strategy of the existing plant will be based on the varying fuel price.…”
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Design and optimization of a compressed air energy storage (CAES) power plant by implementing genetic algorithm
Published 2016“…Therefore, one can conclude that the future design modifications of the system as well as the variation in operation strategy of the existing plant will be based on the varying fuel price. …”
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