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18 résultats avec le mot-clé: 'robust model predictive control deployment reconfiguration multi systems'

Robust model predictive control for deployment and reconfiguration of multi-agent systems

obey the single integrator dynamics ( 3.15 ) and the reconfiguration algorithm in the case of one outgoing agent is tested only with agents obeying this dynamics since, as for

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Commande prédictive sous contraintes de sécurité pour des systèmes dynamiques Multi-Agents

Fault tolerant predictive control for multi-agent dynamical systems: formation reconfiguration using set-theoretic approach.

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The DART-Europe E-theses Portal

Fault tolerant predictive control for multi-agent dynamical systems: formation reconfiguration using set-theoretic approach.

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Model Predictive Control Allocation of Systems with Different Dynamics

Index Terms— Model Predictive Control Allocation, Chassis Systems, Vehicle Dynamics, Identification, Robust

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Adaptive robust model predictive control for nonlinear systems

This thesis presented a tube Model Predictive Control framework for nonlinear systems that have uncertain dynamics and are subject to unknown external

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DETERMINATION OF THE THERMAL RESISTANCE OF A NORMAL-SUPERCONDUCTOR INTERPHASE BOUNDARY IN HIGH-PURITY LEAD

Three steps are required to obtain the resis- tance of an interphase boundary : (i) The thermal conductivity, Ks, is measured as a function of tem- perature.(ii) A

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An Input-to-State Stable Model Predictive Control Framework for Lipschitz Nonlinear Parameter Varying Systems

Sename (2021), An Input-to-State Stable Model Predictive Control Framework for Lipschitz Nonlinear Parameter Varying Systems, International Journal of Robust and

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Simple Interpolating Control

Keywords: Constrained control; uncertain linear systems; interpolation algorithms; predictive control; state feedback; robust

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The Assembly system of Yugoslavia - Delegations instead of members of parliament Olic T. La Yougoslavie Paris : CIHEAM Options Méditerranéennes; n. 33 1976

The Assembly system of Yugoslavia - Delegations instead of members of parliament..

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Programme de la journée

Dans le cadre du réseau régional « PACA Climat », la Région Provence-Alpes-Côte d'Azur, l'ADEME, la DREAL et le FEDER sont associés pour accompagner les territoires en démarche

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Robust output feedback MPC for LPV systems using interval observers

Abstract— This work addresses the problem of robust output feedback model predictive control for discrete-time, constrained, linear parameter-varying systems subject to (bounded)

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A convexity approach to dynamic output feedback robust MPC for LPV systems with bounded disturbances

Abstract: A convexity approach to dynamic output feedback robust model predictive control (OFRMPC) is pro- posed for linear parameter varying (LPV) systems with bounded

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Télécharger l’ensemble des diaporamas présentés au cours de la journée

Table ronde : Comment intégrer les énergies renouvelables dans les démarches PCET?. Présentation des ateliers de l’après-midi Pause déjeuner (plateaux repas servis

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Contributions to control law robustification

(2004), ‘Feedback Min- Max Model Predictive Control Using a Single Linear Program: Robust Stability and the Explicit Solution’, International Journal of Robust and Nonlinear

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Initiation à l’utilisation de la calculatrice TI-nspire.

Ouvrir un nouveau classeur. Dans la colonne introduire les différentes modalités et dans la colonne les effectifs correspondants. Donner un nom aux colonnes dans la case de

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Desenvolvimento territorial sustentável, reciprocidade e organização social

Para Castel (2003), esse enfoque é problemático, pois uma empresa capitalista pode tambémse beneficiar da hibridação dos recursos: vende a sua produção no mercado capitalista

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Performance evaluation based fault tolerant control with actuator saturation avoidance

Keywords: fault tolerant control systems, performance degradation, reference management, model predictive control, performance

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Modelling and control of multi-energy systems through multi-prosumer node and economic model predictive control

Simulation results, thanks to modelling with MPN and EMPC advanced control, demonstrate that the node is optimally controlled, devices dynamics are considered on a minute scale,

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