Searched for: subject%3A%22modeling%22
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Negenborn, R.R. (author), De Schutter, B. (author), Wiering, M.A. (author), Hellendoorn, J. (author)
Model predictive control (MPC) is becoming an increasingly popular method to select actions for controlling dynamic systems. TraditionallyMPC uses a model of the system to be controlled and a performance function to characterize the desired behavior of the system. The MPC agent finds actions over a finite horizon that lead the system into a...
conference paper 2004
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Negenborn, R.R. (author), De Schutter, B. (author), Hellendoorn, J. (author)
We consider the control of large-scale transportation networks, like road traffic networks, power distribution networks, water distribution networks, etc. Control of these networks is often not possible from a single point by a single intelligent control agent; instead control has to be performed using multiple intelligent agents. We consider...
report 2006
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Van Overloop, P.J. (author)
Human life depends on water daily, especially for drinking and food production. Also, human life needs to be protected against excess of water caused by heavy precipitation and floods. People have formed water management organizations to guarantee these necessities of life for communities. These organizations manage a water system within the...
doctoral thesis 2006
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Lukszo, Z. (author), Weijnen, M.P.C. (author), Negenborn, R.R. (author), De Schutter, B. (author), Ilic, M. (author)
The need for improving the operation and control of infrastructure systems has created a demand on optimization methods applicable in the area of complex sociotechnical systems operated by a multitude of actors in a setting of decentralized decision making. This paper briefly presents main classes of optimization models applied in PSE system...
report 2006
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Negenborn, R.R. (author), De Schutter, B. (author), Hellendoorn, J. (author)
For several reasons, control of transportation networks like road traffic networks, power transmission networks, water distribution networks, etc. has to be done using a multi-agent control approach. We consider a multi-agent control approach in which each control agent uses Model Predictive Control (MPC) to determine its actions. Each control...
conference paper 2006
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Necoara, I. (author)
This Ph.D. thesis considers the development of new analysis and control techniques for special classes of hybrid systems and discrete event systems. Two particular classes of hybrid systems (piecewise affine systems and max-min-plus-scaling systems), and two particular classes of discrete event systems (max-plus-linear systems and switching max...
doctoral thesis 2006
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Negenborn, R.R. (author)
Transportation networks, such as power networks, road traffic networks, water distribution networks, railway networks, etc., are the corner stones of our modern society. As transportation networks have to operate closer and closer to their capacity limits and as the dynamics of these networks become more and more complex, control of these...
doctoral thesis 2007
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Braaksma, J. (author)
The modern trailing suction hopper dredgers are advanced ships that are equipped with many automation systems that can be controlled with integrated computer systems from the bridge. From the operators it is expected that they generate the right set-points for all these systems. The latest ships are designed such that one operator is responsible...
doctoral thesis 2008
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Houwing, M. (author), Negenborn, R.R. (author), De Schutter, B. (author)
The increasing presence of distributed energy resources, information and intelligence in the electricity infrastructure increases the possibilities for larger economic efficiency of power systems. This work shows the possible cost advantages of applying a model predictive control (MPC) strategy to residential energy systems. MPC can take future...
conference paper 2008
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Houwing, M. (author), Negenborn, R.R. (author), Ilic, M.D. (author), De Schutter, B. (author)
With the increasing application of distributed energy resources and information technologies in the electricity infrastructure, innovative possibilities for incorporating the demand side more actively in power system operation are enabled. At the residential level energy costs could be reduced with intelligent price-based control concepts ...
conference paper 2009
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Arnold, M. (author), Negenborn, R.R. (author), Andersson, G. (author), De Schutter, B. (author)
The optimal operation of an integrated electricity and natural gas infrastructure is investigated. The couplings between the electricity system and the gas system are modeled by so-called energy hubs, which represent the interface between the loads on the one hand and the transmission infrastructures on the other. To increase reliability and...
conference paper 2009
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Arnold, M. (author), Negenborn, R.R. (author), Andersson, G. (author), De Schutter, B. (author)
The optimal operation of an integrated electricity and natural gas system is investigated. The couplings between these two systems are modeled by energy hubs, which serve as interface between the loads and the transmission infrastructures. Previously, we have applied a distributed control scheme to a static three-hub benchmark system. In this...
conference paper 2009
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Negenborn, R.R. (author), Van Overloop, P.J. (author), De Schutter, B. (author)
Irrigation canals are large-scale systems, covering vast geographical areas, and consisting of many interconnected canal reaches that interact with control structures such as pumps and gates. The control of such irrigation canals is usually done in a manual way, in which a human operator travels along the irrigation canal to adjust the settings...
conference paper 2009
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Negenborn, R.R. (author), Sahin, A. (author), Lukszo, Z. (author), De Schutter, B. (author), Morari, M. (author)
Irrigation canals transport water from water sources (such as large rivers and lakes) to water users (such as farmers). Irrigation canals are typically very large in nature, covering vast geographical areas, and involving a significant number of control actuators, such as pumps, gates, and locks. The control of such canals is aimed at...
conference paper 2009
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Baskar, L.D. (author)
Traffic congestion is a problem experienced daily by most of us. Among various traffic management schemes, efficient utilisation of the existing roadside infrastructure combined with in-vehicle technologies offers a promising solution to address traffic congestion and related problems. This approach has resulted in the development of Intelligent...
doctoral thesis 2009
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Kalbasenka, A.N. (author)
Crystallization is one of the oldest separation and purification techniques. Batch crystallizers are widely used in production of fine chemicals, food ingredients, specialty chemicals, and active pharmaceutical ingredients. Control of the crystalline material properties is a challenging task due to complexity and nonlinearity of batch...
doctoral thesis 2009
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Van den Berg, M. (author)
Motivation The growth of our road infrastructure cannot keep up with the growing mobility of people, and the corresponding increase in traffic demand. This results in daily congestion on the freeways. It is an illusion that the problem of congestion can be solved completely within a few years, but it is possible to improve the current situation....
doctoral thesis 2010
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Lin, S. (author)
Model Predictive Control is applied to control and coordinate large-scale urban traffic networks. However, due to the large scale or the nonlinear, non-convex nature of the on-line optimization problems solved, the MPC controllers become real-time infeasible in practice, even though the problem is solvable in theory. In this thesis, we mainly...
doctoral thesis 2011
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Kreuzen, C. (author)
Cooperative adaptive cruise control (CACC) makes the vehicle follow its predecessor at a close but safe distance, and uses information received from other vehicles to accomplish this task. In literature and in practice, the control method mostly applied for CACC is proportional integral derivative (PID) control, possibly with some refinement for...
master thesis 2012
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Safaei Farahani, S. (author)
Stochastic max-plus systems belong to a special class of discrete-event systems. This class consists of systems with synchronization but no choice and the models of such systems are defined using the operators maximization and addition. Stochastic max-plus systems can be further extended to stochastic switching max-plus systems and stochastic...
doctoral thesis 2012
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