| 1. |
- Abazov, V. M., et al.
(författare)
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The upgraded DO detector
- 2006
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Ingår i: Nuclear Instruments and Methods in Physics Research Section A. - : Elsevier BV. - 0168-9002 .- 1872-9576. ; 565:2, s. 463-537
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Tidskriftsartikel (refereegranskat)abstract
- The DO experiment enjoyed a very successful data-collection run at the Fermilab Tevatron collider between 1992 and 1996. Since then, the detector has been upgraded to take advantage of improvements to the Tevatron and to enhance its physics capabilities. We describe the new elements of the detector, including the silicon microstrip tracker, central fiber tracker, solenoidal magnet, preshower detectors, forward muon detector, and forward proton detector. The uranium/liquid -argon calorimeters and central muon detector, remaining from Run 1, are discussed briefly. We also present the associated electronics, triggering, and data acquisition systems, along with the design and implementation of software specific to DO.
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| 2. |
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| 3. |
- Agüero, Juan C., et al.
(författare)
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Fundamental Limitations on the Accuracy of MIMO Linear Models Obtained by PEM for Systems Operating in Open Loop
- 2009
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Ingår i: Proceedings of the Joint 48th IEEE Conference on Decision and Control (CDC’09) and 28th Chinese Control Conference (CCC’09). - 9781424438716 ; , s. 482-487
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Konferensbidrag (refereegranskat)abstract
- In this paper we show that the variance of estimated parametric models for open loopMultiple-Input Multiple-Output (MIMO) systems obtained by the prediction error method (PEM) satisfies a fundamental integral limitation. The fundamental limitation gives rise to a multivariable 'water-bed' effect.
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| 4. |
- Goodwin, Graham C., et al.
(författare)
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Robust Identification of Process Models from Plant Data
- 2008
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Ingår i: Journal of Process Control. - : Elsevier. - 0959-1524. ; 18:9, s. 810-820
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Tidskriftsartikel (refereegranskat)abstract
- A precursor to any advanced control solution is the step of obtaining an accurate model of the process. Suitable models can be obtained from phenomenological reasoning, analysis of plant data or a combination of both. Here, we will focus on the problem of estimating (or calibrating) models from plant data. A key goal is to achieve robust identification. By robust we mean that small errors in the hypotheses should lead to small errors in the estimated models. We argue that, in some circumstances, it is essential that special precautions, including discarding some part of the data, be taken to ensure that robustness is preserved. We present several practical case studies to illustrate the results.
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| 5. |
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| 6. |
- Rojas, Cristian R., et al.
(författare)
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On the Equivalence of Least Costly and Traditional Experiment Design for Control
- 2008
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Ingår i: Automatica. - : Elsevier BV. - 0005-1098 .- 1873-2836. ; 44:11, s. 2706-2715
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Tidskriftsartikel (refereegranskat)abstract
- In this paper we establish the equivalence between least costly and traditional experiment design for control. We consider experiment design problems for both open and closed loop systems. In open loop, equivalence is established for three specific cases, relating to different parametrisations of the covariance expression (i.e. finite and high order approximations) and model structure (i.e. dependent and independently parameterised plant and noise models). In the closed loop setting, we consider only finite order covariance expressions. H(infinity) performance specifications for control are used to determine the bounds on the covariance expression for both the open and closed loop cases.
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| 7. |
- Goodwin, Graham C., et al.
(författare)
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Good, Bad and Optimal Experiments for Identification
- 2006
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Ingår i: Forever Ljung in System Identification - Workshop on the occasion of Lennart Ljung’s 60th birthday. - Lund, Sweden : Studentlitteratur. - 9144020511
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Bokkapitel (övrigt vetenskapligt/konstnärligt)
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| 8. |
- Rojas, Cristian R., 1980-, et al.
(författare)
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A Receding Horizon Algorithm to Generate Binary Signals with a Prescribed Autocovariance
- 2007
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Ingår i: 2007 AMERICAN CONTROL CONFERENCE, VOLS 1-13. - 9781424409884 ; , s. 122-127
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Konferensbidrag (refereegranskat)abstract
- Optimal test signals are frequently specified in terms of their second order properties, e.g. autocovariance or spectrum. However, to utilize these signals in practice, one needs to be able to produce realizations whose second order properties closely approximate the prescribed properties. Of particular interest are binary waveforms since they have the highest form-factor in the sense that they achieve maximal energy for a given amplitude. In this paper we utilize ideas from model predictive control to generate a binary waveform whose sampled autocovariance is as close as possible to some prescribed autocovariance. Several simulated examples are presented verifying the veracity of the algorithm. Also, a proof of convergence is given for the special case of bandlimited white noise. This proof is based on expressing the system in the form of a switched linear system.
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| 9. |
- Rojas, Cristian R., et al.
(författare)
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Open-cut Mine Planning via Closed-loop Receding-horizon Optimal Control
- 2007
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Ingår i: Identification and Control. - London : Springer. - 9781846288982 ; , s. 43-62
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Bokkapitel (refereegranskat)abstract
- To obtain maximal return from a mining operation it is important that the sequence of mining steps be carefully planned. In this chapter we show how this problem can be converted into a closed-loop receding-horizon optimal control problem. Of particular interest is the formulation of the associated optimization problem in the face of uncertainty, e.g., future ore prices. We show how one can formulate “open-loop”, “reactive” and “closed-loop” policies to deal with price uncertainty. A “toy” example is presented to give insight into the problem. Also, a realistic mine-planning exercise is briefly described to highlight discrepancies between theory and practice.
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| 10. |
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