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[PDF] Top 20 A new neural network structure dedicated to the control of nonlinear systems

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A new neural network structure dedicated to the control of nonlinear systems

A new neural network structure dedicated to the control of nonlinear systems

... L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignemen[r] ... Voir le document complet

5

2020 — A nonlinear neural network-based model predictive control for industrial gas turbine

2020 — A nonlinear neural network-based model predictive control for industrial gas turbine

... collection of closed loop data from operational testing of the SGT-A65 ADGTE and the high fidelity simulation program of Siemens at different operation ...performed to generate ... Voir le document complet

209

Periodic event-triggered control for nonlinear networked control systems

Periodic event-triggered control for nonlinear networked control systems

... similar to the one in [4] where continuous event-triggered controllers are ...synthesized. The fact that we consider PETC, as opposed to CETC, benefits for digital implementations, which leads ... Voir le document complet

17

Radial basis function neural network-based adaptive control of uncertain nonlinear systems

Radial basis function neural network-based adaptive control of uncertain nonlinear systems

... Neural network systems [3], [5], [25] and fuzzy logic systems [20], [24], [26] have been successfully applied in recent years for several engineering applications to approx- imate ... Voir le document complet

6

Approximate Prediction-Based Control Method for Nonlinear Oscillatory Systems with Applications to Chaotic Systems

Approximate Prediction-Based Control Method for Nonlinear Oscillatory Systems with Applications to Chaotic Systems

... matrix The aPBC was developed for the general control gain K(t, x(t)) of system ...methods to choose the time and state dependent control gain have not yet been ... Voir le document complet

30

Nonlinear H_inf -Control of Mechanical Systems under Unilateral Constraints on the Position

Nonlinear H_inf -Control of Mechanical Systems under Unilateral Constraints on the Position

... by the fact that impulsive inputs, applied at the impact time instants, cause the well-posedness problem of defining dynamics of such a system (Brogliato, 1996), and they are in ... Voir le document complet

7

Geographic Dimensions of a Health Network Dedicated to Occupational and Work Related Diseases

Geographic Dimensions of a Health Network Dedicated to Occupational and Work Related Diseases

... used to describe the rnv3p data: density, standard deviation ellipse and Thiessen polygons [ 13 ...points, the density is a raster which depicts the concentration of cases, and ... Voir le document complet

24

Nonlinear magnetic vibration absorber for passive control of a multi-storey structure

Nonlinear magnetic vibration absorber for passive control of a multi-storey structure

... Passive control, Nonlinear absorber, NES, Magnetic Vibration Absorber, vibration experiments ...In the civil engineering field, vibration control devices are ever more required to face ... Voir le document complet

26

Optimal control of fluid-structure interaction systems : the case of a rigid solid

Optimal control of fluid-structure interaction systems : the case of a rigid solid

... Unité de recherche INRIA Sophia Antipolis 2004, route des Lucioles - BP 93 - 06902 Sophia Antipolis Cedex France Unité de recherche INRIA Lorraine : LORIA, Technopôle de Nancy-Brabois - [r] ... Voir le document complet

37

Neural network-based adaptive control for induction motors

Neural network-based adaptive control for induction motors

... The obtained controller is then augmented by an online single hidden layer neural network (SHL NN) that is used to adaptively compensate for the partially known dy[r] ... Voir le document complet

1

Control of nonlinear systems represented in quasilinear form

Control of nonlinear systems represented in quasilinear form

... The controllers of the second type used the similarity between quasilinear systems and linear time varying systems to find approximate solutions to optimal control ty[r] ... Voir le document complet

204

Time-triggered control of nonlinear discrete-time systems

Time-triggered control of nonlinear discrete-time systems

... as a linear matrix inequality for linear time- varying systems, and a discretized Lorenz model of a thermal convection loop is proved to satisfy the required ... Voir le document complet

7

A note on robust control of nonlinear systems with input unmodeled dynamics

A note on robust control of nonlinear systems with input unmodeled dynamics

... Unite´ de recherche INRIA Lorraine, Technopoˆle de Nancy-Brabois, Campus scientifique, 615 rue du Jardin Botanique, BP 101, 54600 VILLERS LE` S NANCY Unite´ de recherche INRIA Rennes, Ir[r] ... Voir le document complet

23

Model following control for nonlinear systems

Model following control for nonlinear systems

... L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignemen[r] ... Voir le document complet

19

Analysis of a neural network model

Analysis of a neural network model

... L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignemen[r] ... Voir le document complet

20

Structure Invariance for Uncertain Nonlinear Systems

Structure Invariance for Uncertain Nonlinear Systems

... Absfract-A unified study of three control problems associated to multi- input multi-output nonlinear systems with uncertainties is presented, namely, input-state linearization[r] ... Voir le document complet

6

A neural network approach to selectional preference acquisition

A neural network approach to selectional preference acquisition

... estimation of a neural network’s param- eters requires a large amount of training ...data. To be able to use non-annotated corpus data for train- ing, we use the ... Voir le document complet

11

A Comparative Study of Neural Network Compression

A Comparative Study of Neural Network Compression

... goal of this work is to address this latter issue by providing a comparative ...test the capability of a technique in reducing the number of parameters of ... Voir le document complet

19

A Neural Network Demand System

A Neural Network Demand System

... is a multi-disciplinary open access archive for the deposit and dissemination of sci- entific research documents, whether they are pub- lished or ...not. The documents may come ... Voir le document complet

24

A Neural Network for Semigroups

A Neural Network for Semigroups

... autoencoder to simply reconstruct its input without knowing anything about associativity proved to be not only unnatural but in fact bringing poorer ...terms of its main goal – finding the ... Voir le document complet

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