In this paper an active suspension system which guarantees passenger comfort in normal cruising and rollover prevention in emergencies is proposed. In the control design the changes in forward velocity, the normalised...
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We have demonstrated electron transport in enhancement mode in-plane-gate (IPG) quantum dot (QD) transistors. A deep etched trench allows a large positive bias on the IPG, with negligible leakage current. Such enhance...
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We have demonstrated electron transport in enhancement mode in-plane-gate (IPG) quantum dot (QD) transistors. A deep etched trench allows a large positive bias on the IPG, with negligible leakage current. Such enhancement mode operation has made it possible to populate ultra-small QDs with electrons. Strong NDR peaks and SET are observed in a wide gate bias window. The position of the NDR peaks systematically moves with the change of gate bias until, and also after the SET regime is reached. The size of the QD is estimated from the SET data, giving quantum energy level spacing consistent with the evolved NDR positions.
The paper presents a method for the constrained Moving Horizon Estimation of origin-destination (OD) matrices for traffic networks. in traffic systems split ratios are important parameters for OD estimation and for co...
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This paper proposes a hierarchical formation stabilization method for vehicles having nonlinear dynamics. Supposing that the formation control problem is already solved for the case of linear vehicle dynamics, the met...
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A physically parameterized continuous-time velocity-scheduled LPV state-space model of a heavy-truck is identified from measurement data. The aim is to develop a model for controller which steers the vehicle by brakin...
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A multi-level model, that provides a hierarchically structured description of a complex, multi-scale limb system is proposed in this paper for predicting and analyzing movement patters generated by various activation ...
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A diagnostic expert system established on model-based reasoning for on-line diagnosis and loss prevention is described in the paper. Its diagnostic "cause-effect" rules and possible actions (suggestions) are...
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The paper suggests the necessity of the estimation of unmeasured variables of traffic systems. The presented method proposes constrained state estimation of unmeasured traffic variable such as turning rates. The weigh...
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The paper suggests the necessity of the estimation of unmeasured variables of traffic systems. The presented method proposes constrained state estimation of unmeasured traffic variable such as turning rates. The weighted constrained state approach uses moving horizon along the state trajectory which permits to handle equality and inequality constraints belonging to the nature of the traffic model. A numerical example illustrates the importance of constrained estimation.
The paper examines the conditions for isolating the unknown input detection from the effects of the measurements noise in the important family of positional control problems. The study is motivated by the need of impr...
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Intelligent Space is a space of distributed sensory intelligence and actuators. The basic component of Intelligent Space is the Distributed Intelligent Network Device (DIND), responsible for intelligent sensing and es...
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