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Nonlinear Model Predictive Control (NMPC)

A New Weighted Graph Based Partitioning Algorithm for Decentralized Nonlinear Model Predictive Control of Large Scale Systems

A New Weighted Graph Based Partitioning Algorithm for Decentralized Nonlinear Model Predictive Control of Large Scale Systems

... large-scale nonlinear dynamical systems based on graph ...decentralized nonlinear model predictive control (NMPC) methodology is then formulated for the ...overall NMPC ...

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Nonlinear System Identification in Frequent and Infrequent Operating Points for Nonlinear Model Predictive Control

Nonlinear System Identification in Frequent and Infrequent Operating Points for Nonlinear Model Predictive Control

... are nonlinear in nature, many applications of MPC so far have been applied to linear models ...Accordingly, nonlinear model predictive control, NMPC which uses a nonlinear ...

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On output feedback nonlinear model predictive control using high gain observers for a class of systems

On output feedback nonlinear model predictive control using high gain observers for a class of systems

... Nonlinear model predictive control has received considerable attention during the recent ...lizing NMPC and a suited high gain observer for a class of ...the NMPC control ...

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Explaining the Financial Instability  Hypothesis with Endogenous Investment:  A Nonlinear Model Predictive Control  Approach

Explaining the Financial Instability Hypothesis with Endogenous Investment: A Nonlinear Model Predictive Control Approach

... This study reveals endogenous instability in the financial market based on the dynamic interac- tion between endogenous investment behavior and debt in a nonlinear framework, by using a nonlinear ...

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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?

... article, nonlinear model predictive controller (NMPC) is introduced in Section ...2. Nonlinear model pre- dictive control is composed of two ...One model is called ...

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Improved Optimization Process for Nonlinear Model Predictive Control of PMSM

Improved Optimization Process for Nonlinear Model Predictive Control of PMSM

... Abstract: Model-based predictive control (MPC) is one of the most efficient techniques that is widely used in industrial ...optimal control signal ...of nonlinear MPC (NMPC) of ...

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Speed Tracking of a Linear Induction Motor Enumerative Nonlinear Model Predictive Control
Jogapavan Kumar & M Uma Rani

Speed Tracking of a Linear Induction Motor Enumerative Nonlinear Model Predictive Control Jogapavan Kumar & M Uma Rani

... torque control (DTC) is considered as one of the most efficient techniques for speed and/or position tracking control of induction motor ...this control scheme has several drawbacks: the switching ...

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Constrained Nonlinear Model Predictive Control of a Polymerization Process via Evolutionary Optimization

Constrained Nonlinear Model Predictive Control of a Polymerization Process via Evolutionary Optimization

... constrained model predictive control of an MMA reactor, based on the genetic algo- rithm ...mechanistic model of the process was used. The model is a sequential piecewise linearization ...

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A Novel Wideband Microstrip Patch Antenna with Non-Uniform Feed Based on Model Predictive

A Novel Wideband Microstrip Patch Antenna with Non-Uniform Feed Based on Model Predictive

... using model predictive control. Nonlinear model predictive control (NMPC) is used to achieve a nonuniform transmission line that matches with the microstrip patch ...

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Linear and Nonlinear Model Predictive Control of Quadruple Tank Process

Linear and Nonlinear Model Predictive Control of Quadruple Tank Process

... the control parameters for static as well as dynamic systems using model predictive control ...to control the predicted output along with tuning the parameters such as prediction and ...

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Battery Management Maximum Power Point Tracking & Model Predictive Control and Voltage Regulation

Battery Management Maximum Power Point Tracking & Model Predictive Control and Voltage Regulation

... As the demand of Electricity is increasing day by day and is already more than the production of Electricity whereas reserves of fossil-fuel are depleting, there is a strong need to shift for other sources which are ...

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Performance Comparison of Predictive Controllers in Optimal and Stable Operation of Wastewater Treatment Plants

Performance Comparison of Predictive Controllers in Optimal and Stable Operation of Wastewater Treatment Plants

... task. Model-based predictive control has been considered recently due to its capacity to deal with multivariable systems and ...of Nonlinear Model Predictive Control has ...

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Comparative Study of PI Controller and Model Based Predictive Control for Mobile Robot

Comparative Study of PI Controller and Model Based Predictive Control for Mobile Robot

... the model-based predictive control is not a new control method, works dealing with model-based predictive control and wheeled robots are few and ...generalized ...

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Dynamic real-time substrate feed optimization of anaerobic co-digestion plants

Dynamic real-time substrate feed optimization of anaerobic co-digestion plants

... simulation model is used to develop a predictive ...upper-level control that provides a setpoint to a lower-level control (Engell, ...upper-level control the simulation model is ...

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Mathematical Modelling, Prototyping and Path Tracking of a Mars Tumbleweed Rover.

Mathematical Modelling, Prototyping and Path Tracking of a Mars Tumbleweed Rover.

... obtain control, a mechanism of internally moving masses can be ...mathematical model of such a rover is developed in order to predict its capabilities through computer ...dynamic model. A ...

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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

... a nonlinear model. To reduce the complexity of a three-phase model, an equivalent two-phase representation is chosen ...two-phase model is usually transformed in a rotating (d,q) reference ...

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Modelling and Controlling the Level of Nonlinear Process via Diverse Control Strategies

Modelling and Controlling the Level of Nonlinear Process via Diverse Control Strategies

... the nonlinear process is determined as first order plus dead time model ...Internal Model Control (IMC-PID) and Model Predictive Controller (MPC) method were proposed and their ...

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Robust predictive tracking control for a class of nonlinear systems

Robust predictive tracking control for a class of nonlinear systems

... robust predictive tracking control (RPTC) approach is developed in this paper to deal with a class of nonlinear SISO ...the control performance, the RPTC architecture mainly consists of a ...

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Nonlinear Multiple Model Predictive Control of Solution Polymerization of Methyl Methacrylate

Nonlinear Multiple Model Predictive Control of Solution Polymerization of Methyl Methacrylate

... linearized model based predictive controller is designed using the DMC algorithm to control the temperature of a batch MMA polymerization ...mechanistic model of the polymerization, a ...

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Nonlinear Autonomous Altitude Control of a Miniature Helicopter UAV Based on Sliding Mode Methodology

Nonlinear Autonomous Altitude Control of a Miniature Helicopter UAV Based on Sliding Mode Methodology

... other control strategies to achieve high ...include Model Predictive Control (MPC), robust multivariable control, nonlinear tracking controller design, exact state linearization, ...

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