adaptive parameter estimation algorithm
Interior Permanent Magnet Synchronous Motor (IPMSM) Adaptive Genetic Parameter Estimation
... Genetic Algorithm (GA) that uses the principles of evolution, natural selection, and genetics to offer a method for parallel search of complex ...on-line adaptive parameter estimation for ...
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Recursive Adaptive Algorithms for Fast and Rapidly Time-Varying Systems
... conventional adaptive algorithms cannot track the variations of true system parameters in the vicinity of these jumping locations, resulting in the so called “lag” ...system estimation covariance matrix at ...
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Vol 3, No 12 (2015)
... filtered-x algorithm-based adaptive control [30], a proportional regulator is used to improve the dynamic performance of the system because it needs high gain at only fundamental and harmonic frequencies of ...
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Multichannel adaptive signal detection in space-time colored compound-gaussian autoregressive processes
... AR parameter estimation algorithm with three covariance matrix estimation strategies for compound-Gaussian environment, then obtain three adaptive CG-PGLRT detectors by replacing the ...
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Parameter estimation of box-jenkins model using genetic algorithm
... Genetic Algorithm is an adaptive heuristic search based on evolutionary ...Genetic Algorithm is chosen instead of other methods because it gives bundle of ...Genetic Algorithm do not easily ...
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Adaptive Algorithm for Chirp-Rate Estimation
... an estimation of the second-order derivative of signal phase. Estimation of this parameter, referred to as the chirp-rate, is important in radar systems, for example, focusing of the SAR images [8, ...
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DREAM(D): an adaptive Markov Chain Monte Carlo simulation algorithm to solve discrete, noncontinuous, and combinatorial posterior parameter estimation problems
... Abstract. Formal and informal Bayesian approaches have found widespread implementation and use in environmental modeling to summarize parameter and predictive uncertainty. Successful implementation of these ...
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Adaptation in Stochastic Dynamic Systems—Survey and New Results I
... This paper surveys the field of adaptation mechanism design for uncertainty parameter estimation as it has developed over the last four decades. The adaptation mechanism under consideration generally serves ...
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International Journal of Emerging Technology and Advanced Engineering
... The algorithm starts by assuming a small weights (zero in most cases), and at each step, by finding the gradient of the mean square error, the weights are ...
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M estimator and D optimality model construction using orthogonal forward regression
... identification algorithm using D-optimality for model structure selection and is based on an M-estimators of parameter ...robust parameter estimation tech- nique to tackle bad data conditions ...
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Parameter Estimation of LFM Signal Intercepted by Synchronous Nyquist Folding Receiver
... These technologies all use multiple low-speed ADCs to complete wideband signal acquisition, failing to solve the problems using single or dual low-speed ADCs to sample the whole interception wideband. Some new ways have ...
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Predictive FTF Adaptive Algorithm for Mobile Channels Estimation
... channel estimation is ne- cessary to combat ISI ...an adaptive linear filter ac- cording to an algorithm so as to minimize the error between the output of the channel estimator and the received sig- ...
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Robust Estimation of Adaptive Deblurring Using Genetic Algorithm
... ABSTRACT: It is a quite difficult task to obtain images under dim conditions. There are many factors with which brightness of the image can be obtained, like the sensor sensitivity(ISO),Exposure time and Aperture. Due to ...
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A New Parameter Estimation Method For Software Reliability Model Based On Abc
... PSO algorithm to solve the complex system reliability optimization problem, and verified the feasibility and validity of the algorithm through two examples; Kehan Zhang et al [8] used the PSO ...
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An Adaptive Cauchy Differential Evolution Algorithm with Bias Strategy Adaptation Mechanism for Global Numerical Optimization
... Abstract—Appropriately adapting mutation strategies is a challengeable problem of the literature of the Differential Evolution (DE). The Strategy adaptation Mechanism (SaM) can convert a control parameter ...
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A Self-Adaptive Discrete PSO Algorithm with Heterogeneous Parameter Values for Dynamic TSP
... Figure 3. Numbers of new (different) edges between X k−1 and X k (the previous and current positions) in the DPSO solving the static kroA200 TSP instance. The blue line indicates the particles with the first set of ...
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Parameter Estimation and Control of Induction Machine using a new Recursive Algorithm
... The low maintenance costs, the robustness, the usability are advantages that characterize the induction machine. This latter is widely used in many industrial app-lications and currently there is an significant effort ...
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Diversity based adaptive genetic algorithm for a workforce scheduling and routing problem
... Although parameter values can be tuned before the algorithm execution, different values might provide better results at different stages of the evolutionary process ...
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A Novel adaptive Discrete Cuckoo Search Algorithm for parameter optimization in computer vision
... automate parameter optimization at least for crucial ...an adaptive discrete cuckoo search algorithm (ADCS) is ...search algorithm and presents the procedure of parameter ...
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Opposition- based simulated kalman filters and their application in system identification
... Ibrahim, Z., Nawawi, S. W., Razali, S., Muhammad, B., Mohd Azmi, K. Z., Aspar, Z., and Ab Aziz, N. A. (2015). Simultaneous computation of model order and parameter estimation of a heating system based on ...
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