Complex chemical reaction networks often exhibit different dynamic behaviour on different time scales. A combined approach is proposed in this work for determining physically meaningful mass action realizations of com...
Complex chemical reaction networks often exhibit different dynamic behaviour on different time scales. A combined approach is proposed in this work for determining physically meaningful mass action realizations of complex chemical reaction networks that describe its dynamic behaviour on different time scales. This is achieved by appropriately reducing the detailed overall mass action kinetic scheme using quasi steady state assumptions fit to the particular time scale, and then searching for an optimal realization using mixed integer linear programing. Furthermore, the relationship between the properties (reversibility, deficiency, stability) of the obtained realizations of the same system on different time scales are also investigated and related to the same properties of the detailed overall model. It is shown that the reduced models obtained by quasi steady state assumptions may show exotic nonlinear behaviour, such as oscillations, when the original detailed is globally asymptotically stable. The proposed methods are illustrated by using a simple Michaelis-Menten type reaction kinetic example. The simplified versions of the well known Brusselator model have also been investigated and presented as a case study.
The aim of the paper is to present a multi-layer supervisory architecture for the design and development of integrated controlsystems in road vehicles. The performance specifications are guaranteed by the local contr...
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The aim of the paper is to present a multi-layer supervisory architecture for the design and development of integrated controlsystems in road vehicles. The performance specifications are guaranteed by the local controllers, while the coordination of these components is provided by the supervisor. Since monitoring components and the FDI filters provide the supervisor with information about the various vehicle maneuvers and the different fault operations, it is able to make decisions about the necessary interventions into the vehicle motions and guarantee the reconfigurable and fault-tolerant operation of the vehicle. The advantage of this architecture is that local controllers are designed independently provided that the monitoring and fault signals are taken into consideration in the formalization of their performance specifications. The design of local controllers are based on LPV methods.
In this paper, the robust output regulation problem of a networked linear system with uncertainties is considered. Based on internal model, distributed control scheme is adopted to achieve the objectives of asymptotic...
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In this paper, the distributed output regulation problem of linear multi-agent systems is considered. Its background includes active leader following for the agents to track a leader with different dynamics and unmeas...
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The paper presents a target tracking algorithm which is based on the mean shift algorithm and the normalized moment of inertia (NMI) feature, because the result of the moving target tracking in the air is not satisfac...
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We consider a class of networked controlsystems (NCSs) where the plant has time-varying norm-bounded parameter uncertainties, the network only provides a limited number of simultaneous accesses for the sensors and ac...
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This paper comprises the control-oriented modeling of an integrated vehicle system including powertrain, brake, active suspension and steering components. As the first step, the models of a vehicle are formalized. In ...
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Production automationsystems consist of many entities (like robots and shuttles) that interact in complex ways to provide the overall system functionality like product assembly. Multi-Agent systems (MAS) can simulate...
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ISBN:
(纸本)9781424459179;9780769539676
Production automationsystems consist of many entities (like robots and shuttles) that interact in complex ways to provide the overall system functionality like product assembly. Multi-Agent systems (MAS) can simulate these system entities and their interactions to better understand the system behavior according to production strategies and system configuration, which are otherwise hard to determine before their (costly) implementation. A main challenge is to coordinate the groups of agents effectively to reach a common production goal, e. g., fast and robust delivery on customer orders for assembling a set of products. In this paper, we introduce the pattern-based extension of the MAS-based manufacturing agent simulation tool (MAST) to support the simulation and evaluation of business processes in an assembly workshop: a layered coordination and test framework has been implemented and evaluated in cooperation with industry partners. Domain experts found the coordination patterns usable and useful to elicit their knowledge. The test framework allowed exploring the effects of production strategies on the system 30 times faster than with a real-world hardware workshop.
The paper comprises the control design of a road-friendly suspension system and the optimal choice of linear quadratic (LQ) weighting. By designing the influence of the dynamic loads of wheels it is possible to reduce...
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A variable structure neural network adaptive robust control (VSNNARC) is proposed for a class of uncertain nonlinear SISO systems. A neural network which is adjusted by using nodes activation and passivation technique...
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