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adaptive predictive control algorithm

Adaptive Tuning of Model Predictive Control Parameters Based on Analytical Results

Adaptive Tuning of Model Predictive Control Parameters Based on Analytical Results

... auto-tuning algorithm is developed for DMC without constraint ...Genetic Algorithm (GA) and Multi-Objective Fuzzy Decision- Making (MOFDM) strategies are combined to determine the optimal tuning parameters, ...

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Cascaded Nonlinear Adaptive Predictive Control based Adaptive Flux Observer of Induction Motor

Cascaded Nonlinear Adaptive Predictive Control based Adaptive Flux Observer of Induction Motor

... advanced control algorithm based on continuous minimization of predicted tracking errors, to achieve torque, rotor speed and rotor flux amplitude tracking ...This algorithm called a new ...

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An Adaptive Disturbance Model for Model Predictive Control

An Adaptive Disturbance Model for Model Predictive Control

... an adaptive disturbance model for an MPC scheme is proposed, in which both the stationary and non-stationary unmeasured disturbances are estimated ...TSRLS algorithm. In the adaptive disturbance ...

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Subspace based direct adapitve control for a class of nonlinear systems

Subspace based direct adapitve control for a class of nonlinear systems

... subspace-based predictive controller is designed based directly on input-output ...with predictive control, such as the minimum request of prior knowledge, applicability for multi-input multi-output ...

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Adaptive Fuzzy Model Predictive Control for Non-minimum Phase and Uncertain Dynamical Nonlinear Systems

Adaptive Fuzzy Model Predictive Control for Non-minimum Phase and Uncertain Dynamical Nonlinear Systems

... The Branch and Bound (B&B) method is to search for a discrete optimal solution of the optimization and especially found in the nonlinear predictive control problem. The main idea of this method is ...

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Time-stamped Generalized Predictive Control of Networked Control Systems with Random Delay

Time-stamped Generalized Predictive Control of Networked Control Systems with Random Delay

... networked control systems is that conventional generalized predictive control algorithm cannot deal with random delays, packet losses and vacant ...generalized predictive control ...

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New Smith predictive fuzzy immune PID control algorithm for MIMO networked control systems

New Smith predictive fuzzy immune PID control algorithm for MIMO networked control systems

... Considering the random delay and packet loss prob- lem caused by network bandwidth constraint, the clas- sical Smith predictor has strong advantages in compensating delay and has been successfully applied in SISO NCS ...

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Performance Improvement of Renewable Energy Systems through Active Power Filters for Meeting the Energy Demand and Power Quality Improvement

Performance Improvement of Renewable Energy Systems through Active Power Filters for Meeting the Energy Demand and Power Quality Improvement

... a predictive control algorithm designed and implemented specifically for this ...or adaptive, for the current as well as for the dc-voltage loops [7], ...

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Improved Active Power Filter Performance for Renewable Power Generation Systems

Improved Active Power Filter Performance for Renewable Power Generation Systems

... a predictive control algorithm designed and implemented specifically for this ...or adaptive, for the current as well as for the dc-voltage loops ...while predictive controllers use the ...

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Data-driven adaptive model-based predictive control with application in wastewater systems

Data-driven adaptive model-based predictive control with application in wastewater systems

... data-driven adaptive model- based predictive controller (MBPC) with input ...the control algorithm and incorporate the input ...Direct Adaptive Model-Based Predictive Controller ...

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Nonlinear Decentralized Model Predictive Control for Unmanned Vehicles Moving in Formation

Nonlinear Decentralized Model Predictive Control for Unmanned Vehicles Moving in Formation

... an algorithm which can be adopted to maintain a formation of unmanned vehicles while they move along a desired trajectory, and it is based on leader-following architecture and Model Predictive ...

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A SIMPLIFIED PREDICTIVE CONTROL FOR A SHELL AND TUBE HEAT EXCHANGER

A SIMPLIFIED PREDICTIVE CONTROL FOR A SHELL AND TUBE HEAT EXCHANGER

... important predictive control algorithm is DMC which was originally developed by shell oil company in 1960s and 1970s, it is based on step response ...

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An Adaptive Congestion Control Algorithm with CoAP for the Internet of Thing

An Adaptive Congestion Control Algorithm with CoAP for the Internet of Thing

... The CoAP base specification applies BEB to RTO updating when the second or further retrans- mission occurs. However, initial RTO may not be too small or too large when compared to current network condition due to the ...

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Real-Time Adaptive Predictive Control for Hybrid Thermoelectric Refrigerator System

Real-Time Adaptive Predictive Control for Hybrid Thermoelectric Refrigerator System

... on control studies for Hybrid Thermoelectric Refrigerator (H-TER) ...investigate control strategies that are not based on detailed advance plant knowledge but allow for continuous adaptation of the ...

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Preselection algorithm based on predictive control for direct matrix converter

Preselection algorithm based on predictive control for direct matrix converter

... model predictive control has recently been introduced to simplify the complexity of MC control [19, ...above control schemes, it is possible to summarize the principle of predictive ...

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Non parametric model reference adaptive control

Non parametric model reference adaptive control

... OPEN-LOOP MODEL REFERENCE ADAPTIVE CONTROL Figure 3 illustrates how the UIS algorithm can be used in a model-reference adaptive control in an open loop fashion Widrow and Stearns, 1985, [r] ...

225

Vol 3, No 12 (2015)

Vol 3, No 12 (2015)

... an adaptive notch filter, which is suitable for the estimation of a fundamental frequency signal from distorted ...and control of dc-bus voltage of the ...LMS algorithm [36] is based on ...

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An Adaptive Cauchy Differential Evolution Algorithm with Bias Strategy Adaptation Mechanism for Global Numerical Optimization

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 Study On Traditional And Evolutionary Software Development Models

A Study On Traditional And Evolutionary Software Development Models

... Waterfall is the first model that is included in the predictive approach of software development model. WaterFall is similar to its word meaning of raining. As rain fall down in a single direction that is towards ...

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Adaptive attitude controller of a reentry vehicles based on Back-stepping Dynamic inversion method

Adaptive attitude controller of a reentry vehicles based on Back-stepping Dynamic inversion method

... proper algorithm for the attitude control of an RLV in order to achieve various missions has generated many researches in this area ...to control the re-entry ...linear control methods have ...

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