Results 171 to 180 of about 248,906 (193)
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A complete formulation of non-linear model-based stable predictive control strategy
2001 European Control Conference (ECC), 2001This paper reports a complete formulation of a model predictive control strategy having guaranteed nominal asymptotic stability. The formulation includes a successive linearisation procedure to obtain a linear model from a non-linear plant model.
Girijesh Prasad +3 more
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Fuzzy model predictive control of non-linear processes using genetic algorithms
Fuzzy Sets and Systems, 2003This paper introduces a new fuzzy control technique which belongs to the popular family of control algorithms called Model Predictive Controllers. The method is based on a dynamic fuzzy model of the process to be controlled which is used for predicting the future behavior of the output variables.
Haralambos Sarimveis, George V. Bafas
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Type I diabetes: modeling, identification and non-linear model predictive control
Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology, 2003Patients with diabetic type I nearly always need a therapy with insulin. The most desirable treatment would be to mimic the operation of a normal pancreas. In this work we model a patient affected with this pathology, identify it with a neural network, and evaluate a control strategy known as nonlinear model predictive control as an approach to command
G. Schlotthauer +3 more
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2011 International Conference on Process Automation, Control and Computing, 2011
Model predictive control (MPC) has become the leading form of advanced multivariable control in the chemical process industry. The objective of this work is to introduce a multiple model adaptive control strategy for multivariable MPC. The method of approach is to design multiple linear MPC controllers.
V. R. Ravi +2 more
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Model predictive control (MPC) has become the leading form of advanced multivariable control in the chemical process industry. The objective of this work is to introduce a multiple model adaptive control strategy for multivariable MPC. The method of approach is to design multiple linear MPC controllers.
V. R. Ravi +2 more
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Computationally Efficient Non-linear Model Predictive Control for Truck Platoons
2023 European Control Conference (ECC), 2023Sidharth Tadeparti +2 more
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2019 7th International Conference on Control, Mechatronics and Automation (ICCMA), 2019
This paper presents a Model Predictive Controller for trajectory tracking control of the quadrotor using the ACADO Toolkit on Matlab/Simulink. Model Predictive Control (MPC) prediction feature and ability to obtain optimal control action yields an accurate trajectory tracking performance. The controller is applied to a quadrotor system.
Mohamed Owis +2 more
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This paper presents a Model Predictive Controller for trajectory tracking control of the quadrotor using the ACADO Toolkit on Matlab/Simulink. Model Predictive Control (MPC) prediction feature and ability to obtain optimal control action yields an accurate trajectory tracking performance. The controller is applied to a quadrotor system.
Mohamed Owis +2 more
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Centralized Non-linear Model Predictive Control of a Redundantly Actuated Parallel Manipulator
2012In this paper a centralized non-linear model predictive control (NMPC) for redundantly actuated Parallel Kinematic Machines (PKM) is proposed. The controller has the structure of an augmented PD controller with variable gains. These gains are intended to minimize the future tracking error. With this approach the computation error is kept low.
Hufnagel, T. +2 more
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Non-linear model predictive formation control for groups of autonomous surface vessels
International Journal of Control, 2007Designing non-linear model predictive control (NMPC) laws for controlling multiple autonomous surface vessels in arbitrary formations in environments containing obstacles are reported in this paper. Two leader-follower decentralized geometrical control schemes that are required for defining a unique two-dimensional formation are considered.
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Application of Non-Linear Model Predictive Control to the Driving Task
2011The previous research on the application of Model Predictive Control (MPC) to aspects of driving a vehicle is considered and extended. The control algorithm differs significantly from previous work and complements previous studies by the application of MPC in the nonlinear domain.
A. Zignoli, Biral, Francesco, A. Popov
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Non-linear Model Predictive Control of a Quadruple-Tank Process
2022 UKACC 13th International Conference on Control (CONTROL), 2022Haoran Zhang, Emmanuel Prempain
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