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fuzzy model predictive control

Fuzzy Model Predictive Control for Grid Tied Inverter with Multiport Renewable Energy Systems

Fuzzy Model Predictive Control for Grid Tied Inverter with Multiport Renewable Energy Systems

... a Fuzzy Model Predictive Control (FMPC) for grid tied inverter with multiport DC-DC ...conventional control schemes, FMPC scheme is suitable for distributed generation system for its ...

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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

... is Model Predictive Control based on Fuzzy Logic, Genetic Algorithms or B&B, and Adaptive Control ...the control performance is good, and the closed-loop system is global ...

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MPC Based Fuzzy Logic Controller for Non Linear Process

MPC Based Fuzzy Logic Controller for Non Linear Process

... process control and it cannot be effectively controlled by means of conventional linear P+I+D ...as Model Predictive Control algorithm based fuzzy logic controller design for conical ...

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Metaphorical Study on the Performance of Controllers in Modeling, Control and Simulation of Renewable Source Boost Converter Using MATLAB

Metaphorical Study on the Performance of Controllers in Modeling, Control and Simulation of Renewable Source Boost Converter Using MATLAB

... to control the duty cycle of the switch which in turn controls the switch ON and OFF ...as Model Predictive Control (MPC), NARMA-L2 Controller, Fuzzy Logic Controller (FLC) and Sliding ...

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Fuzzy predictive control of Variable Speed Wind Turbines using Fuzzy Techniques

Fuzzy predictive control of Variable Speed Wind Turbines using Fuzzy Techniques

... accommodating control (DAC) [16], unknown input observer (UIO) [17] and the immersion and invariance (I&I) estimator ...generator control system. Several model based control approaches ...

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Is nonlinear model predictive control with fuzzy predictive model proper for managing the blood glucose level in typeI diabetes?

Is nonlinear model predictive control with fuzzy predictive model proper for managing the blood glucose level in typeI diabetes?

... proposed fuzzy predictive model (natural insulin-glucose regulatory sys- tem) and the diabetic model, the difference between the concentrations of the blood glucose level in these models, has ...

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Vol 3, No 12 (2015)

Vol 3, No 12 (2015)

... a predictive control scheme is ...numerical model of the dynamic power channel, including the impact of the identical power framework impedance, is determined and used to plan the prescient ...

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A New Approach to Intelligent Model Based Predictive Control Scheme

A New Approach to Intelligent Model Based Predictive Control Scheme

... proposed control scheme, the multi-fuzzy-based predictive model approach is organized in accordance with the several fuzzy-based predictive model approa- ches, where each ...

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Improved Active Power Filter for Renewable Power Generation Systems

Improved Active Power Filter for Renewable Power Generation Systems

... is Fuzzy logic controller designed and implemented specifically for this ...a predictive control technique, such as fuzzy logic or adaptive, for the current as well as for the dc-voltage ...

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Speed tracking of a Linear Induction Motor Along with Fuzzy Logic control Using Enumerative Nonlinear Model Predictive control

Speed tracking of a Linear Induction Motor Along with Fuzzy Logic control Using Enumerative Nonlinear Model Predictive control

... torque control is used. Based on DTC principle, an independent control of torque and flux can be carried out by the estimated voltage vectors in a way that the error between the flux and estimated torque ...

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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

... matrix control (DMC) of the MIMO impulse response model, a MIMO network DMC algorithm for stochastic delay is established, and the problem of system stability is transformed into a class of LMI solvable ...

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Model predictive control using fuzzy decision functions

Model predictive control using fuzzy decision functions

... criteria (for and ), and the total number of criteria in a fuzzy MPC problem is, thus, given by . Beyond the possibility of defining different criteria for different time steps, it is possible to skip some ...

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Artificial pancreas based on model predictive control

Artificial pancreas based on model predictive control

... Neural Fuzzy Inference ...a Fuzzy Inference System (FIS) whose membership function parameters are tuned (adjusted) using either a back propagation algorithm alone, or in combination with a least squares ...

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Vol 4, No 7 (2016)

Vol 4, No 7 (2016)

... IV. FUZZY LOGIC CONTROLLER ...the control territory with some application topower framework ...rationale control is fabricated upby a gathering of principles taking into account the human learning ...

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Vol 3, No 10 (2015)

Vol 3, No 10 (2015)

... while, fuzzy controller depends on fuzzy logic included manages in a sure level of ideas can't be communicated as the " genuine" or "false" however a bit "in part genuine" are most ...

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Fuzzy Control Model Study on Precision Irrigation System for Water Stress in Crops

Fuzzy Control Model Study on Precision Irrigation System for Water Stress in Crops

... irrigation fuzzy control model, this paper formulated the effectiveness of established experimental platform, as shown in figure 6 ...the fuzzy control system five input amount change ...

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Convex Model Predictive Control for Vehicular Systems

Convex Model Predictive Control for Vehicular Systems

... For this simulation, the initial orbit was set to x, y coordinates of (10, 10) and the final orbit was set to (0, 0). An initial velocity was set to the x and y velocity (0.5, 0) and the spacecraft was constrained to ...

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More electric aircraft starter generator system with utilization of hybrid modulated model predictive control

More electric aircraft starter generator system with utilization of hybrid modulated model predictive control

... based control scheme has been investigated in various papers for the permanent magnet based S/G ...Different control schemes are to be considered to improve the control performance of the S/G ...

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Hybrid algorithm for the control of technical 
		objects

Hybrid algorithm for the control of technical objects

... So, to build up the base of rules of fuzzy productions, it is required to define the set of rules of fuzzy productions and also the set of input and output linguistic variables (LV). Special acronyms are ...

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Model Predictive Control for Deferrable Loads Scheduling

Model Predictive Control for Deferrable Loads Scheduling

... real-time control via Algorithm 2 over the optimal static (open-loop) ...real-time control Algorithm 2, with the expected load variance E (V 0 ) obtained by the optimal static control, which only ...

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