Results 21 to 30 of about 263,923 (197)
Online Weight-adaptive Nonlinear Model Predictive Control [PDF]
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020 Nonlinear Model Predictive Control (NMPC) is a powerful and widely used technique for nonlinear dynamic process control under constraints. In NMPC, the state and control weights of the corresponding state and control costs are commonly selected based on human-expert knowledge, which usually reflects the acceptable stability in practice.
Kostadinov, Dimche, Scaramuzza, Davide
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Design and verification of model predictive control for micro-turboshaft engine
Advances in Mechanical Engineering, 2019 In this article, a nonlinear model predictive control algorithm for a micro-turboshaft engine is designed. The control effect is verified by a bench test.
Mengwei Zhang +3 more
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Iterative nonlinear model predictive control of a PH reactor. A comparative analysis [PDF]
, 2005 IFAC WORLD CONGRESS (16) (16.2005.PRAGA, REPÚBLICA CHECA)This paper describes the control of a batch pH reactor by a nonlinear predictive controller that improves performance by using data of past batches.
Bordons Alba, Carlos, Ramos Cueli, José
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State-space approach to nonlinear predictive generalized minimum variance control [PDF]
, 2010 A Nonlinear Predictive Generalized Minimum Variance (NPGMV) control algorithm is introduced for the control of nonlinear discrete-time multivariable systems.
EPSRC on the Platform Grant Project No EP/C526422/1 (Funder) +2 more
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Sliding mode predictive control for chemical proces with time delay [PDF]
, 2005 16th IFAC World Congress Praga (República Checa), 03/07/2005A design of a novel model predictive controller is presented. The proposed Sliding Mode Predictive Control (SMPC) algorithm combines the design technique of Sliding-Mode Control (SMC) with Model
Camacho, Eduardo F. +2 more
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Mathematics, 2023 Controlling an automotive suspension system using an actuator is a complex nonlinear problem that requires both fast and precise solutions in order to achieve optimal performance.
Daniel Rodriguez-Guevara +4 more
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IEEE Access, 2019 In this study, a model predictive path tracking control method based on the prediction of tire state stiffness is proposed to improve the path tracking performance at the limit of vehicle dynamics. Considering the influence of the nonlinear properties of
Shaosong Li +4 more
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Nonlinear tight formation control of multiple UAVs based on model predictive control
Defence Technology, 2023 A tight formation of unmanned aerial vehicles (UAVs) has many advantages, such as fuel saving and deceiving enemy radar during battlefield entry. As a result, research on UAVs in close formation has received much attention, and the controller design for ...
Ruiping Zheng, Yongxi Lyu
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A numerically efficient fuzzy MPC algorithm with fast generation of the control signal
International Journal of Applied Mathematics and Computer Science, 2021 Model predictive control (MPC) algorithms are widely used in practical applications. They are usually formulated as optimization problems. If a model used for prediction is linear (or linearized on-line), then the optimization problem is a standard, i.e.,
Marusak Piotr M.
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Perceptive Locomotion Through Nonlinear Model-Predictive Control
IEEE Transactions on Robotics, 2023 ISSN:1941 ...
Ruben Grandia +4 more
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