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Model-free predictive control

Model predictive control of forming processes

Model predictive control of forming processes

... The y-alignment of the die has a large influence, specially in timing as can be seen in Figure 4.3d. A negative misalignment causes a different curvature at the start of the free bending stage as there is no ...

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A Simplified Approach to Multivariable Model Predictive Control

A Simplified Approach to Multivariable Model Predictive Control

... as Model Predictive Control (MPC) to the control of industrial processes have been well documented in recent ...CARIMA model is employed to ensure offset-free control, and ...

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Convex Model Predictive Control for Vehicular Systems

Convex Model Predictive Control for Vehicular Systems

... Motion planning is required whenever a robotic system, such as a rover or robotic arm, needs to make decisions about moving in an unknown environment [10]. The focus of this thesis is on the motion planning of two ...

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Nested Distributed Model Predictive Control

Nested Distributed Model Predictive Control

... In pursuit of iteration-free methods that still achieve desir- able guarantees, a few authors (Farina and Scattolini, 2012; Riverso and Ferrari-Trecate, 2012; Trodden et al., 2016; Hernandez and Trodden, 2016) ...

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Model Predictive Control of a River Reach with Weirs

Model Predictive Control of a River Reach with Weirs

... The Linge River is part of the drainage system in the South of the Netherlands. The Upper Linge has 12 branches divided by weirs and the Lower Linge is just one long branch. The Linge is used to collect the water from ...

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Artificial pancreas based on model predictive control

Artificial pancreas based on model predictive control

... In the absence of insulin, the entry of glucose into skeletal, cardiac, smooth muscle and other tissues is decreased. Intestinal absorption of glucose is unaffected by insulin, as is glucose uptake by most of the brain ...

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Model Predictive Control for a Recover Water Process

Model Predictive Control for a Recover Water Process

... the control scheme will be given in the chapter devoted to the ...constant control with ...now free of foreign ...dynamical model of the system must be ...

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An Adaptive Disturbance Model for Model Predictive Control

An Adaptive Disturbance Model for Model Predictive Control

... disturbance model. Using a fixed disturbance model shows degraded performance when the disturbances in the system are time ...regressive model for representing unmeasured ...disturbance model ...

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Model Predictive Control of UCG: An Experiment and Simulation Study

Model Predictive Control of UCG: An Experiment and Simulation Study

... advanced control of this process is very complicated as the underground gasifier crosses sev- eral stages, where operating conditions are ...a model for syngas calorific value and underground temperature ...

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Robust Trajectory Free Model Predictive Control of Biped Robots with Adaptive Gait Length

Robust Trajectory Free Model Predictive Control of Biped Robots with Adaptive Gait Length

... motion control methods in robotics are comprised of two phases: 1) the motion planning phase [14] and 2) the trajectory following ...of control problems, perfect joint trajectory tracking is not necessary ...

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Robust Model Predictive Control for humanoids standing balancing

Robust Model Predictive Control for humanoids standing balancing

... the robot with (Fig. 5(a)) and without (Fig. 5(b)) the balancing stabilizer. The disturbance was generated by a ball of 2 kg impacting at a horizontal velocity of 5 m/s. The integrated balancing stabilizer allows the ...

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HIGH PERFORMANCE ALGORITHMS FOR THE CONTROL OF BUCK DC-DC CONVERTERS

HIGH PERFORMANCE ALGORITHMS FOR THE CONTROL OF BUCK DC-DC CONVERTERS

... two control methods are presented for controlling the DC-DC ...proposed control algorithms are tailored to buck DC-DC converter, so as to optimize the performance of the ...a model predictive ...

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Robust model predictive control with a reactive safety mode

Robust model predictive control with a reactive safety mode

... Some of the remaining implementation issues for application of R-MPC and SR-MPC in practical engineering systems include the following: incorporating measurement uncer- tainty, safety from dynamically changing state ...

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Simple and Efficient Design of a Model-free controller based on lag/lead compensator

Simple and Efficient Design of a Model-free controller based on lag/lead compensator

... a model-free control, which aims is to combine the simplicity and easy tune characteristics of PID control, and the absence of model knowledge of model-free ...

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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

... Internal Model Control (IMC-PID) and Model Predictive Controller (MPC) method were proposed and their responses was ...controllers, Model Predictive Control (MPC) ...

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On the Model-free Control of an Experimental Greenhouse

On the Model-free Control of an Experimental Greenhouse

... the control of an experimental greenhouse via a newly introduced technique, called model-free control ([18], [19], [20], [21]), where the need of any mathematical model ...of ...

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A New Approach to Intelligent Model Based Predictive Control Scheme

A New Approach to Intelligent Model Based Predictive Control Scheme

... tive model approach and the corresponding fuzzy-based predictive control approach, at each instant of ...proposed control scheme over other related control techniques is to realize the ...

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Model Predictive Control System for Steam Turbine Using MATLAB

Model Predictive Control System for Steam Turbine Using MATLAB

... traditional control strategy based on PID controllers may be unsatisfactory when dealing with processes with large time delay and ...a model predictive controller (MPC) for a steam turbine in power ...

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A review on applications of model predictive control to wind turbines

A review on applications of model predictive control to wind turbines

... a model-based control design approach is a suitable tool because it can build a controller to tackle the multi-variable control problem in a systematic ...of model predictive ...

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Design of Model Predictive Control for Non Linear Process

Design of Model Predictive Control for Non Linear Process

... Level control system. System model for laboratory level control system using system identification toolbox of MATLAB ...present model based PID controller for level control system which ...

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