Results 11 to 20 of about 715,052 (314)
Model Predictive Control on the Neural Manifold. [PDF]
Neural ComputAbstract Neural manifolds are an attractive theoretical framework for characterizing the complex behaviors of neural populations. However, many of the tools for identifying these low-dimensional subspaces are correlational and provide limited insight into the underlying dynamics. The ability to precisely control the latent activity of
Fehrman C, Meliza CD.
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Model Predictive Control, Cost Controllability, and Homogeneity [PDF]
SIAM Journal on Control and Optimization, 2020 We are concerned with the design of Model Predictive Control (MPC) schemes such that asymptotic stability of the resulting closed loop is guaranteed even if the linearization at the desired set point fails to be stabilizable. Therefore, we propose to construct the stage cost based on the homogeneous approximation and rigorously show that applying MPC ...
Coron, Jean-Michel +2 more
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Model-Free Predictive Control and Its Applications
Energies, 2022 Predictive control offers many advantages such as simple design and a systematic way to handle constraints. Model predictive control (MPC) belongs to predictive control, which uses a model of the system for predictions used in predictive control. A major
Muhammad Nauman +2 more
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Robust Model Predictive Control Design
Современные информационные технологии и IT-образование, 2021 Recently, many control designers have worked on design methods that meet several design specifications called multi-objective control design. However, the main challenge for the Model Predictive Control design is the high computational load preventing ...
Abdelillah Otmane Cherif +1 more
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Multiplexed model predictive control [PDF]
Automatica, 2012 University of Cambridge, Department of Engineering, Technical ...
Keck Voon Ling +3 more
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On the improvement of model-predictive controllers
CoRR, 2023 This article investigates synthetic model-predictive control (MPC) problems to demonstrate that an increased precision of the internal prediction model (PM) automatially entails an improvement of the controller as a whole. In contrast to reinforcement learning (RL), MPC uses the PM to predict subsequent states of the controlled system (CS), instead of ...
Leander J. Féret +2 more
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The Past and the Next Fifteen Years [PDF]
Modeling, Identification and Control, 1994 The scope of MIC defined by the title Modeling, Identification and Control is broad and it is impossible to do justice to all these areas in a discussion which is limited to a few pages.
Manfred Morari
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International Islamic University Malaysia Engineering Journal, 2023 This paper presents the performance analysis of Predictive Functional Control (PFC) for Adaptive Cruise Control (ACC) application. To cope with multiple driving objectives of modern ACC systems such as passenger comfort, safe distancing, and fast time ...
Mohamed Al-Sideque Zainuddin +4 more
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Robustification of model predictive control [PDF]
Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187), 2002 A general procedure leading to an enhancement of robustness of existing model predictive control techniques is proposed. This procedure, which considers additive modeling errors, is illustrated for the case of cautious stable predictive control. The basic idea is the augmentation of the cost function with an additional term related to a description of ...
Daniel E. Quevedo, Mario E. Salgado
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Model Predictive Impedance Control [PDF]
2020 IEEE International Conference on Robotics and Automation (ICRA), 2020 Robots are more and more often designed in order to perform tasks in synergy with human operators. In this context, a current research focus for collaborative robotics lies in the design of high-performance control solutions, which ensure security in spite of unmodeled external forces.
Maciej Bednarczyk +2 more
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