adaptive control algorithm
Research of adaptive control algorithm research based on rough set and implementation
... an adaptive neural network algorithm has strong compatibility, some noise data, not including related function and reduce the input dimension, a fast learning process, uncertainty processing and force ...
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ADAPTIVE pH CONTROL SYSTEM FOR FED-BATCH BIOCHEMICAL PROCESSES
... the adaptive control system were performed taking into account the process actuators’ nonlinearities that apply in the real ...the control system was tested in a wide range of disturbances, which are ...
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Chaotic Adaptive Control of Non Binary TTCM Decoding Algorithm
... the adaptive control algorithm to this extrinsic ...test algorithm can be shown (see Figure 4). The use of adaptive control algorithm in the turbo decoding topology ...
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Adaptive Control Schemes for a class of Hammerstein-Wiener nonlinear systems
... the control of nonlinear plant by a conventional adaptive controller based on the identification of time varying parameters of a proposed affine ...the adaptive control of nonlinear systems ...
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Roadmap for User-Performance Drive Lighting Management Logic
... the control system will be controlled by a central node with a hierarchical structure to individual ...light control system each luminaire work individually, so that they have its own sensor and controller ...
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Adaptive Control of Congestion in Tough Wireless Environments Using DCM+ Algorithm
... DCM+ is an End-To-End (E2E) approach. For the bandwidth-estimation (BWE), the same algorithm explained in TCP Westwood+ [11] [22] [31] [32] will be used. It describes a sender-side modifications of TCP NewReno ...
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An active noise control algorithm with gain and power constraints on the adaptive filter
... The algorithms described thus far are processed dir- ectly in the time domain. However, with large filter lengths the required convolutions become computation- ally expensive, and alternative methods can be more effi- ...
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Substructuring of dynamical systems via the adaptive minimal control synthesis algorithm
... It is worth emphasising that the output from the substructured model is not connected with the direct simulation of the three mass system in any way. So, in Figure 5 (a) we are plotting the output from two completely ...
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Design and realization of a one-dimensional vibration isolation setup for floor vibrations
... Nowadays, high precision machines have gained more and more interest with the remark- able development in the manufacturing of complex integrated circuits (also called ICs or chips). One important issue to ensure the ...
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Robust Design Guidelines for Model Reference Adaptive Control
... MRAC algorithm, which can ensure a robust control system within a large frequency ...of control design guidelines for the scalar MRAC system so that robust design can be achieved for a range of ...
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A Simulation-Based Algorithm for Ergodic Control of Markov Chains Conditioned on Rare Events
... iteration algorithm in dynamic ...iteration algorithm proceeds via two nested loops—an outer loop in which the policy improvement step is performed and an inner loop in which the policy evaluation step for ...
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Adaptive Speed Control Algorithm for BLDC Motor with Variable Input Source using PSO Algorithm
... speed control of the BLDC ...for control system and PWM pulse is generated based on the error value ...speed control systems were developed. The sensor less control systems utilises back EMF ...
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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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Lyapunov Based Dynamic Neural Network for Adaptive Control of Complex Systems
... neural adaptive control exist which we quote: direct adaptive neural control, indirect adaptive neuronal control, adaptive neural internal model control, ...
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Diversity based adaptive genetic algorithm for a workforce scheduling and routing problem
... To establish statistical significant in EAs, [23] recom- mended the use of Friedman analysis as a non-parametric statistical test to compare and rank methods. Here, an IBM SPSS 22 two-way analysis was used to compare the ...
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Fuzzy Logic Driven Sliding Mode Controller for Boiler Water Level Control
... discontinuous control signal that drives the system along the cross section of system stable region rejecting nonlinear ...mode control keeps the system close to this surface. Sliding mode control ...
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A Motion-Adaptive Deinterlacer via Hybrid Motion Detection and Edge-Pattern Recognition
... Motion-adaptive methods [7–9] were proposed to alle- viate the impact of motion so that the correlation of the reference pixels for interpolation is higher. Motion-adaptive deinterlacing employs motion ...
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Performance Analysis Of RLS Over LMS Algorithm For MSE In Adaptive Filters
... Recently Adaptive filtering schemes have frequently used in communications, signal processing, control and many other ...applications. Adaptive filtering scheme become the most popular due to their ...
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Adaptive Trajectory Tracking Control of a Quadrotor Based on Iterative Learning Algorithm
... Distributed under a Creative Commons CC BY license..[r] ...
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Adaptive On-line Genetic Algorithm Based PD Iterative Control for PUMA560
... tracking control for industrial robots of less rapid demanding, an online adaptive PD iterative learning control algorithm is ...genetic algorithm for global ...this algorithm is ...
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