Results 11 to 20 of about 10,121,442 (237)
Gaussian process model based predictive control [PDF]
, 2004 Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of non-linear dynamic systems. The Gaussian processes can highlight areas of the input space where prediction quality is poor, due to the lack ...
Rasmussen, C.E. +3 more
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Model predictive control design for industrial applications [PDF]
, 2006 In many industrial processes, the regulatory level based on PID controllers is able to maintain the process variables about the given set point values. However, economic reasons and operational constraints make it necessary to optimise plant operations ...
Balbis, L., Ordys, A.W., Kateb, R.
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Predictive pole-placement control with linear models [PDF]
, 2002 The predictive pole-placement control method introduced in this paper embeds the classical pole-placement state feedback design into a quadratic optimisation-based model-predictive formulation. This provides an alternative to model-predictive controllers
Ronco, E., Gawthrop, P.J.
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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
openaire +3 more sources
Applied Sciences, 2018 The biofilm mode of growth protects bacterial cells against currently applied disinfection methods for abiotic (food) contact surfaces. Therefore, innovative methods, such as Cold Atmospheric Plasma (CAP), should be investigated for biofilm inactivation.
Marlies Govaert +5 more
doaj +1 more source
A field study of the industrial modeling process [PDF]
Modeling, Identification and Control, 1998 This paper analyzes the modeling process by means of a field study in the chemical industries. A diversified set of experienced modelers from two different countries have been interviewed using a case study approach.
Bjarne A. Foss, B. Lohmann, W. Marquardt
doaj +1 more source
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
doaj +1 more source
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
openaire +4 more sources
Bioproduction of the Recombinant Sweet Protein Thaumatin: Current State of the Art and Perspectives
Frontiers in Microbiology, 2019 There is currently a worldwide trend to reduce sugar consumption. This trend is mostly met by the use of artificial non-nutritive sweeteners. However, these sweeteners have also been proven to have adverse health effects such as dizziness, headaches ...
Jewel Ann Joseph +11 more
doaj +1 more source
Direct adaptive generalized predictive control [PDF]
Modeling, Identification and Control, 1993 This paper is concerned with the direct approach of adaptive generalized predictive control. An implicit model with control law parameters is developed.
Wei Wang, Rolf Henriksen
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