WorldCat Identities

Alamir, Mazen

Works: 58 works in 96 publications in 2 languages and 637 library holdings
Roles: Author, Thesis advisor, Other, Opponent, Contributor, htt, Editor
Publication Timeline
Most widely held works by Mazen Alamir
Stabilization of nonlinear systems using receding-horizon control schemes : a parametrized approach for fast systems by Mazen Alamir( )

23 editions published in 2006 in English and held by 528 WorldCat member libraries worldwide

While conceptually elegant, the generic formulations of nonlinear model predictive control are not ready to use for the stabilization of fast systems. Dr. Alamir presents a successful approach to this problem based on a co-operation between structural considerations and on-line optimization. The balance between structural and optimization aspects of the method is dependent on the system being considered so the many examples aim to transmit a mode of thought rather than a ready-to-use recipe; they include: - double inverted pendulum; - non-holonomic systems in chained form; - snake board; - missile in intercept mission; - polymerization reactor; - walking robot; - under-actuated satellite in failure mode. In addition, the basic stability results under receding horizon control schemes are revisited using a sampled-time, low-dimensional control parameterization that is mandatory for fast computation and some novel formulations are proposed which offer promising directions for future research
A pragmatic story of model predictive control : Self-Contained Algorithms and Case-Studies by Mazen Alamir( Book )

2 editions published between 2013 and 2016 in English and held by 5 WorldCat member libraries worldwide

Nowadays, optimality is a major concern in modern controlled systems, and since optimality generally steers the systems to the boundary of their admissible operational domain, no control designer can afford ignoring Model Predictive Control (MPC). MPC is the only control design methodology that enables systematic handling of constraints and optimality concerns. This book is addressed to under-graduate students in engineering who are interested in control design issues. It can also be used by control researchers or practitioners that are not specialized in MPC but who are willing to acquire a concise and concrete knowledge of this advanced control methodology. Researchers in Robotics, Mechatronics, Process control, Automotive control, Aerospace, Power Systems and so many other application domains where the control plays a crucial role can find in this book answers to their challenging problems. The book covers both linear and nonlinear constrained MPC with many case-studies. All the scripts that are used to produce the results are explicitly and exhaustively given in the book. These scripts can therefore serve as templates to engineers when facing real-life control problems. The book uses the Matlab scientific programming language and shows systematically how to use the Matlab Coder toolbox in order to produce real-time implementable compiled MPC solutions. Several reading advices are also given regarding the state of the art and the major current mainstream research directions on this hot and challenging topic
Approches bornées pour la commande des drones by Ahmad Hably( )

2 editions published in 2007 in French and held by 3 WorldCat member libraries worldwide

The control and design of mini aerial robots have received much attention within the automatic control community throughout the last decade. The main objective of this thesis is the control of two classical under-actuated systems : Planar Vertical Take-Off and Landing aircraft (PVTOL) and the quadrotor, a helicopter with four fixed rotors.The control laws developed take into consideration the bounds on the inputs with a very low computational cost which is crucial in real-time applications with limited embedded capabilities. Both the attitude and position control are considered in this thesis. The control laws are based on the global stabilization of multiple integrators with bounded control and fast predictive control
Contributions à l'étude de la commande optimale à horizon fuyant des systèmes non linéaires by Mazen Alamir( Book )

2 editions published in 1995 in French and held by 3 WorldCat member libraries worldwide

In this work, several aspects of the receding horizon control strategy are discussed. First of all, some suffisant conditions for the stability of the closed loop system are proposed for different possible formulations (finite or infinite prediction horizon, with or without final constraint on the state). In a second part, a robust stabilizing feedback strategy is proposed to stabilize uncertain discrete-time nonlinear systems defined with additive unmatched uncertainties. The feedback law is periodic and is based on the use of optimization problems with final inequality constraints. Finally, a special class of continuous nonlinear systems is characterized for which a real time implementation of the receding horizon principle is possible through a linear quadratic optimization problem formulation
Invariance and symbolic control of cooperative systems for temperature regulation in intelligent buildings by Pierre-Jean Meyer( )

2 editions published in 2015 in English and held by 3 WorldCat member libraries worldwide

This thesis provides new control strategies that deal with the heterogeneous and nonlinear dynamics describing the temperature regulation in buildings to obtain a tradeoff between comfort and energy efficiency. We thus focus on the robust control of cooperative systems with bounded disturbances. We first solve this problem with the notion of robust controlled invariant interval, which describes a set where the state can be maintained for any value of the disturbances. A second approach provides dedicated symbolic methods to synthesize a discrete controller on a finite abstraction of the system, realizing safety specifications combined with a performance optimization. We first present a centralized symbolic method using the system dynamics provided by the physical model. To address its limitation in terms of scalability, a compositional approach is considered, where the symbolic abstraction and synthesis methods are applied to partial descriptions of the system under the assume-guarantee obligation that the safety specification is realized for all uncontrolled states. In the final part, the proposed controllers are combined and evaluated on the temperature regulation for an experimental building equipped with UnderFloor Air Distribution
Modélisation et contrôle d'un réfrigérateur cryogénique Application à la station 800W à 4.5K du CEA Grenoble by Fanny Clavel( )

2 editions published in 2011 in French and held by 3 WorldCat member libraries worldwide

This thesis is concerned with the development of a novel control scheme on a heliumrefrigerator subject to high pulsed loads. Such disturbance will happen during the cooling of thesuperconductive magnet, used in tokamak configuration.A dynamical model of a cryogenic station, which offers a cooling capacity of 800W at4.5K, has been produced. The modelling is based on the theoretical equations of thermodynamics,thermal physics and hydraulics and takes into account the non linear properties of helium at lowtemperature.Based on this model, a new control strategy has been developed for each of the two parts ofthe refrigerator: the warm compression system and the cold box. Experimental results showsignificant improvement with multivariable controllers as compared with the PIDs in the presenceof high pulsed loads.An observer of the thermal load of the helium bath has also been developed. The model isconstructed by identification using internal measures of the refrigerator. It can be used as conditionmonitoring tool for operators
Contributions à la commande prédictive non linéaire pour les systèmes à dynamiques rapides by André Murilo de Almeida Pinto( )

2 editions published in 2009 in English and held by 3 WorldCat member libraries worldwide

This thesis addresses the challenging problem of applying nonlinear model predictive control (NMPC) to fast dynamical systems. For these systems, the available computational time may be insufficient to solve the underlying non convex optimization problems. In this context, the parameterized approach may be a potential candidate solution to deal with fast systems. Two practical applications are shown to emphasize the advantages of the parameterized approach: the diesel engine air path and the twin-pendulum system. Experimental validation results are proposed for the two processes in order to show the efficiency of the proposed framework
Gestion de l'énergie d'une micro-centrale solaire thermodynamique by Mustapha Amine Rahmani( )

2 editions published in 2014 in English and held by 3 WorldCat member libraries worldwide

This Ph.D thesis was prepared in the scope of the MICROSOL project, ledby Schneider Electric, that aims at developing Off-grid solar thermodynamic micro powerplants exploiting the solar thermal energy. The aim of this thesis being the development of innovative and efficient control strategies for the energy management of two kinds of solar thermodynamic micro power plants: based on Stirling engine and based and Organic RankineCycle (ORC) machines.In a first part, we consider the Stirling based solar thermodynamic micro power planthybridized with a supercapacitor as an energy buffer. Within this framework, we propose afirst experimentally validated control strategy, associated to the energy conversion system ofthe Stirling engine, that endows the system with quasi optimal performances in term of settlingtime enabling the size reduction of the supercapacitor. A second control strategy that handlesexplicitly the system constraints while providing the system with optimal performances interm of settling time , is also proposed. This control strategy is in fact more than a simplecontroller, it is a control framework that holds for a family of energy conversion systems.In a second part, we consider the Organic Rankine Cycle (ORC) based thermodynamicmicro power plant hybridized with a battery bank as an energy buffer. Since this system worksat constant speed for the asynchronous generator electrically connected to a commercial energyconversion system, we propose a model predictive controller that acts on the thermodynamicpart of this system to move from an operating point to another, during the load power demandtransients, as fast as possible (to reduce the size of the battery banks) while respecting thephysical system constraints. The developed predictive controller is based upon a dynamicmodel, for the ORC power plant, identified experimentally thanks to an adequate nonlinearidentification algorithm
Commande coopérative des sytèmes multi-agents avec contraintes de communication by Lara Brinon Arranz( )

1 edition published in 2011 in French and held by 3 WorldCat member libraries worldwide

This dissertation focuses on cooperative control of multi-agent systems. This topic has been extensively studied in recent literature due to its large number of applications. This thesis is concerned by the design of collaborative control strategies in order to achieve an underwater exploration mission. In particular, the final aim is to steer a fleet of autonomous underwater vehicles, which are equipped by appropriate sensors, to the location of a source of temperature, pollutant or fresh water. In this situation it is relevant to consider constraints in the communication between vehicles which are described by means of a communication graph. The first contributions deal with the development of cooperative formation control laws which stabilize the fleet to time-varying formations and, in addition, which also distribute the vehicles uniformly along the formation. Finally, the source-seeking problem is tackled by interpreting the fleet of vehicles as a mobile sensors network. In particular, it is shown that the measurements collected by the fleet of vehicles allows us to approximate the gradient of a scalar field. Following this idea, a distributed algorithm based on consensus algorithms is proposed to estimate the gradient direction of a signal distribution
Sur la résolution des problèmes inverses pour les systèmes dynamiques non linéaires. Application à l'électrolocation, à l'estimation d'état et au diagnostic des éoliennes by Oumayma Omar( )

2 editions published in 2012 in French and held by 3 WorldCat member libraries worldwide

This thesis mainly concerns the resolution of dynamic inverse problems involvingnonlinear dynamical systems. A set of techniques based on the use of trains of pastmeasurements saved on a sliding window was developed. First, the measurements areused to generate a family of graphical signatures, which is a classification tool, in orderto discriminate between different values of variables to be estimated for a given nonlinearsystem. This technique was applied to solve two problems : the electrolocationproblem of a robot with electrical sense and the problem of state estimation in nonlineardynamical systems. Besides these two applications, receding horizon inversion techniquesdedicated to the fault diagnosis problem of a wind turbine proposed as an internationalbenchmark were developed. These techniques are based on the minimization of quadraticcriteria based on knowledge-based models
Modélisation et commande d'un robot biomimétique volant by Hala Rifai( )

2 editions published in 2008 in French and held by 3 WorldCat member libraries worldwide

Combinant les avantages des voilures fixes et tournantes, le vol biomimétique présente un avenir prometteur pour les microdrones. Le mouvement de l'engin volant est assuré par les forces aérodynamiques de traction et de portance ainsi que les couples aérodynamiques créés par les ailes battantes. Un modèle simplifié basé sur les relations fondamentales de la dynamique a ainsi été établi. Des commandes non linéaires par retour d'état ou retour de mesure de capteurs d'attitude embarqués sont développées afin de stabiliser l'orientation du corps. La stabilisation de la position est assurée par un couplage entre l'angle de roulis et la force de portance. Les commandes proposées dans cette thèse sont à faible coût de calcul, tiennent compte des saturations induites par les amplitudes maximales des angles des ailes. Elles sont basées sur des techniques de moyennisation couplées à des résultats récents de stabilisation des corps rigides. La robustesse des commandes vis-à-vis d'erreurs de modèle, d'erreurs aérodynamiques, de perturbations externes, etc. a été testée
Contrôle hiérarchique fiable pour les systèmes multicoptères by Ngoc Thinh Nguyen( )

1 edition published in 2019 in English and held by 2 WorldCat member libraries worldwide

Le but de cette thèse est de proposer des lois de commande fiables pour la planification du mouvement d'un système multicoptère sous contraintes et événements inattendus (par exemple, des défauts d'actionneur). Une architecture hiérarchique qui sépare la commande en position et attitude est proposée. Au niveau haut, l'erreur de position est calculé et la pousée, ainsi que les angles désirés qui en découlant sont fournis au contrôleur d'attitude de niveau bas qui stabilise le système autour des angles désirés.La fiabilité du système est assurée par une combinaison cohérente des commandes par de platitude différentielle, par linéarisation et prédictive nonlinéaire (NMPC). Les principales contributions de la thèse sont les suivantes:i) La caractéristique des contraintes sur entrées et états du système (position et vitesse de l'angle, etc). Celles-ci sont ensuite appliquées pour la conception de trajectoires contraintes (combinant la platitude differentielle et linéarisation par feedback via l'utilisation d'une paramétrisation des trajectoires poursuivies par B-splines).ii) Des conceptions de commande de type NMPC pour un système obtenu après linéarisation par feedback (Computed Torque Control), avec des garanties de faisabilité récursives. Nous montrons en particlier qu'éviter les linéarisations usuelles de la dynamique améliore les performances (i.e. réduit l'horizon de prédiction, élargit la région terminale et réduit la complexité du problème). Des améliorations proposées permettent ensuite d'assouplir assouplirssent l'exigence d'invariance d'ensemble et éliminent la nécessité de contraintes de stabilisation terminales. Des généralisations pour des systèmes linéarisables similaires sont discutées.iii) un schéma hiérarchique de commande tolérante aux pannes de rotor (rotor bloqué).Les résultats sont validés par des simulations et des expériences de laboratoire impliquant un nano-quadricoptère
Modélisation et contrôle avancé pour les centrales de turbinage de moyenne et haute chute by Hugo Mesnage( )

1 edition published in 2017 in French and held by 2 WorldCat member libraries worldwide

L'intégration des énergies renouvelable à l'échelle du réseau provoque de nouveaux paradigmes : la première et plus importante modification provient du fait que la puissance électrique produite n'est plus maîtrisée mais dépendante de l'incontinence des sources renouvelables. Cette irrégularité de la production par rapport à la consommation nécessite le stockage de l'énergie lorsqu'elle est produite afin de la mettre à disposition pour plus tard. Les sites de transfert d'énergie par pompage (STEP), ou centrales de turbinage-pompage, sont, par leur vitesse d'action, capacité de stockage et aspect respectueux de l'environnement, les principaux organes capable de satisfaire cette demande grandissante en stockage d'énergie à l'échelle du réseau.Durant cette thèse, le problème de modélisation et d'asservissement des régimes transitoires de ces sites est considéré du point de vue du groupe turbine : soit une turbine au sein d'un circuit hydraulique, quel est son comportement dynamique, et quelle méthode de contrôle permet d'assurer les meilleurs performances possibles du point de vue du temps de réponse et de la stabilité.Le manuscrit s'articule alors autour de quatre chapitres : le premier a pour but d'introduire plus finement les problématiques ainsi que la dynamique de ces sites. Le deuxième chapitre présente une méthode originale basée sur une étude graphique d'une modélisation simplifiée du système de turbinage au sein d'une conduite linéaire à section constante. Cette partie permet d'établir le temps minimum d'action de ces centrales de façon dépendante des performances de l'actionneur et de la topologie du site. Le troisième chapitre contient la principale contribution de ces travaux en terme de régulation d'un site de turbinage pompage : on y propose une régulation linéaire du circuit hydraulique dans lequel se fait l'écoulement de l'eau à travers l'utilisation d'un actionneur non-linéaire : la turbine. Enfin, afin de traiter des séquences particulière, le quatrième et dernier chapitre propose d'établir des trajectoires compatibles avec la dynamique et les contraintes issues de l'usage d'une turbine. Les trajectoires alors calculées permettent une plus grande maîtrise des phénomènes grâce à l'usage d'une fonction d'optimisation bien choisie et d'un retour d'état prédictif à horizon fini
Diagnostic par signatures graphiques des systèmes non linéaires by Bilal Youssef( Book )

2 editions published in 2005 in French and held by 2 WorldCat member libraries worldwide

Dans ce travail, un outil graphique est proposé pour le diagnostic et l'estimation paramétrique des systèmes non linéaires. Cet outil est basé sur la définition d'une signature graphique générée à partir des mesures passées du système à diagnostiquer. Si l'allure de la signature se déforme d'une façon détectable lorsqu'un paramètre du système varie et indépendamment des valeurs des autres paramètres ; la signature devient un outil important du diagnostic en particulier dans le cadre d'un système d'aide au diagnostic à interface homme/ machine. Si en plus la déformation de la signature est corrélée à la variation du paramètre en question, la valeur de ce dernier peut être alors estimée. La méthodologie complète du diagnostic est illustrée sur trois exemples : le système de régulation du débit d'air entrant dans le moteur d'automobile, le lit mobile simulé et la machine asynchrone
Commande prédictive distribuée pour la gestion de l'énergie dans le bâtiment Distributed model predictive control for energy management in building by Mohamed Yacine Lamoudi( )

1 edition published in 2012 in French and held by 2 WorldCat member libraries worldwide

Currently, energy management strategies for buildings are mostly based on a concatenationof logical rules. Despite the fact that such rule based strategy can be easilyimplemented, it suffers from some limitations particularly when dealing with complexsituations. This thesis is concerned with the development and assessment ofModel Predictive Control (MPC) algorithms for energy management in buildings. Inthis work, a study of implementability of the control algorithm on a real-time hardwaretarget is conducted beside yearly simulations showing a substantial energy savingpotential. The thesis explores also the ability of MPC to deal with the diversity ofcomplex situations that could be encountered (varying energy price, power limitations,local storage capability, large scale buildings).MPC is based on the use of a model of the building as well as weather forecasts andoccupany predictions in order to find the optimal control sequence to be implementedin the future. Only the first element of the sequence is actually applied to the building.The best control sequence is found by solving, at each decision instant, an on lineoptimization problem. MPC's ability to handle constrained multivariable systems aswell as economic objectives makes this paradigm particularly well suited for the issueof energy management in buildings.This thesis proposes the design of a distributed predictive control scheme to controlthe indoor conditions in each zone of the building. The goal is to control thefollowing simultaneously in each zone of the building: indoor temperature, indoorCO2 level and indoor illuminance by acting on all the actuators of the zone (HVAC,lighting, shading). Moreover, the case of multi-source buildings is also explored, (e.g.power from grid + local solar production), in which each power source is characterizedby its own dynamic tariff and upper limit. In this context, zone decisions can nolonger be performed independently. To tackle this issue, a coordination mechanismis proposed. A particular attention is paid to computational effectiveness of the proposedalgorithms. This CIFRE2 Ph.D. thesis was prepared within the Gipsa-lab laboratoryin partnership with Schneider-Electric in the scope of the HOMES program(
Contrôle d'accès collaboratif : application à la rocade sud de Grenoble by Dominik Pisarski( )

1 edition published in 2014 in English and held by 2 WorldCat member libraries worldwide

The thesis presents the results of research on distributed and coordinated control method for freeway ramp metering. The freeway traffic is represented by the Cell-Transmission Model. The primary control objective is to provide a uniform distribution of vehicle densities over freeway links. Density balancing is a new traffic objective which can potentially reduce the number and intensity of acceleration and deceleration events and therefore, it can make a travel more safety and comfortable while decreasing fuel consumption and emissions. In addition, the objective takes into account standard traffic metrics like Total Travel Distance and Total Travel Spent. For the controller, a distributed modular architecture is assumed. It enables to compute the optimal decisions by using only local state information and some supplementary information arriving from the neighbouring controllers.The contributing part begins with the analysis on equilibrium sets of the Cell-Transmission Model. The goal of this study is to derive the conditions that assure the existence and the uniqueness of the balanced equilibrium states. The next step is to find a set of inputs such that the resulting equilibrium state is balanced. In the set of balanced equilibria, we are interested in the selection of the point that maximizes the Total Travel Distance. In the sequel, the implementation aspects and limitations of the proposed method are discussed. Finally, several case studies are presented to support the analysis results and to examine the effectiveness of the proposed method.The major part of the thesis aims on a design of an optimal controller for balancing the traffic density. The optimization is performed in a distributed manner. By using controllability properties, the set of subsystems to be controlled by local ramp meters are identified. The optimization problem is then formulated as a non-cooperative Nash game. The game is solved by decomposing it into a set of two-players hierarchical and competitive games. The process of optimization employs the communication channels matching the switching structure of system interconnectivity. The alternative approach of balancing employs the theory of multi-agent systems. Each of the controllers is provided with a feedback structure assuring that the states within its local subsystem achieve common values by evaluating consensus protocols. Under these structures, an optimal control problem to minimize the Total Travel Spent is formulated. The distributed controller based on the Nash game is validated via Aimsun micro-simulations. The testing scenario involves the traffic data collected from the south ring of Grenoble
Vers un dimensionnement optimal structure-commande de système multi-convertisseurs. : Application aux réseaux de tramways by Rémi Vial( )

1 edition published in 2012 in French and held by 2 WorldCat member libraries worldwide

Optimal design stucture-control of multi-converter systems. Application to a tramwaynetworkPower electronic is now widely used and allows better efficiency and performances. Wetalk about multi-converter to describe this complex system.Usually, to design this kind of system, engineers study each different part regardless ofpossible interactions. To avoid potential instability caused by this approximation, designershave to oversize input filter which lead to bulk solution.This thesis deals with system view use for design wide grid. A model is built automatically,and constraints are added, to take into account energy, dynamic and harmonicrequirements. Optimal and robust control are used to obtain the best design.This approach is used on a new power architecture for tramways, and allows a betterefficiency over operating cycle
Commande prédictive unifiée de groupes motopropulseurs complexes by Rachid Amari( )

1 edition published in 2010 in French and held by 2 WorldCat member libraries worldwide

The PhD work investigated the control problem arising in complex powertrains through the use of unified model predictive control approach. In order to meet the tight real-time requirements of automotive control, the Constrained Parameterized Approach (CPA) is used. The control application concerns two different powertrains: a mild-hybrid powertrain equipped with an automated manual transmission, and a high downsized powertrain equipped with a manual transmission. In the first application, the proposed strategy totally controls the powertrain dynamic (engine and transmission), while ensuring transparency w.r.t the driver demand. Whereas, in the second application that concerns a manual transmission, the proposed control ensures the “driving assistance”, by assuming an advanced control of the engine torque. As part of the thesis, a phenomenological clutch model has been developed to be used by the control algorithm
Réduction des pics de consommation d'électricité et problèmes d'optimisation induits pour les consommateurs by Chloé Desdouits( )

1 edition published in 2017 in English and held by 2 WorldCat member libraries worldwide

While concerns about global warming have never been so important, one of its first causes: global electricity consumption, is still growing. One way to stem the phenomenon could be to better balance demand and production, in order to switch on less big production groups and to allow the integration of more renewable production sources. The new paradigm of electricity market incites customers to reduce their electricity consumption peak and to shift their consumption when the demand is lower, by introducing economical incentives. Thus, new optimization algorithms and methodologies are needed at the customers side to optimize power usage over time. Schneider Electric proposes, through the Arrowhead European project, to study three application use-cases: an elevator with multiple electricity sources, a manufac- turing plant, and a drinking water network. For each of these use-cases, a methodology to optimize power consumption peaks (sometimes through an electricity cost function) is given, as well as optimization algorithms. For the multisource elevator case, two coupled controllers are proposed: one at the strategic level solving a linear problem, the other one rule-based at the tactical level. For the manufacturing plant, the methodology we used to monitor, build energy models, and finally optimize is explained. Furthermore, three linear formulations are given, as well as a simple local search procedure and a naive constraint satisfaction formulation to handle the NP-hard scheduling problem. For the water network use-case, a quadratically constrained formulation is used to compare optimized pumping plans with the Business As Usual tactic. The methods proposed bring between 1.5% to 114% savings on the energy bill, depending on the context. Moreover, they allow electricity consumers to participate in the demand-response market. Finally, the knowledge extracted from our three use-cases is summarized, and guide- lines are given to optimize the electricity bill of any electricity consumer system
Quelques contributions aux observateurs non linéaires à horizon glissant by Luis Antonio Calvillo Corona( Book )

2 editions published in 2002 in French and held by 2 WorldCat member libraries worldwide

Ce travail s'inscrit principalement dans le domaine de synthèse d'observateurs pour des synthèses non linéaires. D'une part le développement d'une nouvelle méthodologie de synthèse est proposée et d'autre part des résultats supplémentaires pour les observateurs à horizon glissant sont donnés. La première partie est plus directement dédiée aux rappels des notions de base d'observabilité des systèmes linéaires et non linéaires, ainsi qu'à la description des principales techniques de synthèse d'observateurs. De cette étude, il a été possible d'énoncer les avantages et les inconvénients de chaque méthode. Dans une deuxième partie et grâce à l'étude des différentes techniques de synthèse, une nouvelle méthodologie de synthèse d'observateur pour des systèmes non linéaires a été développée. Cette méthodologie divise un systhème en [n] problèmes d'optimisation scalaires, dénommés problèmes élémentaires, qui peuvent être résolus en parallèle en utilisant un solveur numérique de l'équation de Hamilton-Jacobi sclaire que pour de systèmes de grand ordre peut être très interessant de l'appliquer. La dernière partie est concentrée sur les observateurs à horizon glissant plus classiques et de traiter le cas où les hypothèses de régularité uniforme globale ne sont pas supposées. la description technique correspondante est donné à travers des définitions du rayon de régularité et du rayon d'observabilité
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Stabilization of nonlinear systems using receding-horizon control schemes : a parametrized approach for fast systems
A pragmatic story of model predictive control : Self-Contained Algorithms and Case-Studies
Alternative Names
Mazen Alamir investigador

Mazen Alamir wetenschapper

English (34)

French (19)