Results 1 to 10 of about 868,103 (266)
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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CoRR, 2021 Many of the challenges facing today's reinforcement learning (RL) algorithms, such as robustness, generalization, transfer, and computational efficiency are closely related to compression. Prior work has convincingly argued why minimizing information is useful in the supervised learning setting, but standard RL algorithms lack an explicit mechanism for
Benjamin Eysenbach +2 more
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Predictive Coding and Control [PDF]
IEEE Transactions on Control of Network Systems, 2019 This paper deals with feedback control over a single fixed-rate channel using predictive coding at the transmitter side. The central thrust is to demonstrate that optimal control based on predictive coding plus fixed memoryless quantization at the transmitter, designed to improve the efficiency of the channel usage and exemplified (or perhaps ...
Chun-Chia Huang +2 more
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IFAC Proceedings Volumes, 1998 Ce papier montre que des lois de commandes "optimales" basees sur des structures predictives "optimales" ne sont pas "optimales" dans leur comportement en boucle fermee et que la synthese de predicteurs devrait prendre en compte des considerations de boucle fermee. Cela est d'abord illustre avec un systeme du premier ordre a retard.
Normey Rico, Julio Elías +1 more
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Prediction and Control in a Dynamic Environment [PDF]
Frontiers in Psychology, 2012 The present study compared the accuracy of cue-outcome knowledge gained during prediction-based and control-based learning in stable and unstable dynamic environments. Participants either learnt to make cue-interventions in order to control an outcome, or learnt to predict the outcome from observing changes to the cue values.
Magda eOsman +2 more
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Procedings of the Alvey Vision Conference 1989, 1989 Animate vision systems, biological or robotic, employ gaze control systems to acquire, fixate, and stabilize images. Our goal is to guild robust gaze control behaviour from cooperating lower-level visual reflexes. Predictive control strategies can cope with time delayed, multi-rate, and interacting controls.
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Parallelized model predictive control [PDF]
2013 American Control Conference, 2013 Model predictive control (MPC) has been used in many industrial applications because of its ability to produce optimal performance while accommodating constraints. However, its application on plants with fast time constants is difficult because of its computationally expensive algorithm. In this research, we propose a parallelized MPC that makes use of
Damoon Soudbakhsh, Anuradha M. Annaswamy
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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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Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Cup‐like nuclei are a distinctive morphological feature observed in certain cases of acute lymphoblastic leukemia (ALL). We provide evidence that they characterize DUX4/ERG ALL independently of IKZF1 deletion and reveal marked mitochondrial accumulation in this ALL subset.
Chloé Arfeuille +9 more
wiley +1 more source