Huijie Lei (10321958), Yanwei Zhang (690019), Xikun Lu (20074143) · Figshare · 2025
<div> This study proposes an internal iteration scalar-innovation gradient estimation method based on multi-innovation theory for a nonlinear sandwich system subject to a quantized sensor and friction nonlinearity. Different from the existing multi-innovation gradient method (MISG ), the proposed method is designed to resolve the existing shortages of the conventional MISG. First, the decomposing method is applied to derive the identification model, and the redundant parameter estimation problem is avoided. Then, an adaptive filter based on the prior knowledge of the system is proposed to obtain the helpful identification data. Second, to solve the multi-innovation length problem in MISG, the internal iteration principle is presented to convert the multi-innovation updating to scalar-innovation updating under a given innovation length, where the positive estimation performance can be achieved. Subsequently, the trigger mechanism is used to produce the suboptimal initial estimate value when the next parameter adaptive law is updated. Then, the fast convergence rate is obtained. Finally, the proposed estimation strategy is verified by conducting a numerical example and an experiment on a practical electromechanical system test bench. </div>
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Martin H. Weik · 2000
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Αναστασίου, Ρωσσέτος · Dione (University of Piraeus) · 2008
Η διπλωματική αυτή εργασία σκοπό έχει να πλαισιώσει την αξιολόγηση της διαχείρισης ενός χαρτοφυλακίου μέσω του tracking error variance. Στην προσπάθεια να ερμηνευτεί το tracking error και να μελετηθούν οι ιδιότητες του, αναλύονται ορισμένα μοντέλα προσέγγισης του tracking error variance και στη συνέχεια γίνεται πρακτική εφαρμογή αυτών. Θα μπορούσε να χρησιμοποιηθεί οποιοδήποτε χαρτοφυλάκιο για την πρακτική εφαρμογή, ωστόσο στην παρούσα εργασία αναλύονται 28 μετοχικά εσωτερικού αμοιβαία κεφάλαια, τα οποία καταλήγουν να αξιολογούνται μέσω του κριτηρίου tracking error variance.
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Siwen Fan (21433485), Wanli Li (447247), Rui Xie (826938) · Figshare · 2025
<div> This paper presented a self-tuning trajectory tracking control strategy for concrete pouring construction robots operating under external disturbances and system uncertainties. To enhance operational stability and robustness, the study integrated proportional-integral-derivative (PID) control with nonsingular fast terminal sliding mode control (NFTSMC), enabling faster convergence to the desired trajectory and reduced steady-state errors. Additionally, the study employed the crested porcupine optimizer (CPO) algorithm to automatically optimize PID control gains and NFTSMC sliding surface parameters, ensuring adaptability across varying conditions. The proposed control strategy was validated through extensive simulations, demonstrating superior trajectory tracking performance. The PID-NFTSMC controller achieved a maximum trajectory tracking error of 0.098740 and a root-mean-square (RMS) error of 0.007405 for Joint 1. For Joint 2 and Joint 3, the proposed controller exhibited maximum errors of 0.105880 and 0.088740, with RMS errors of 0.009859 and 0.007605, respectively. The convergence time for three joints was 0.1553s, 0.1540s and 0.0100s respectively. These results confirmed that concrete pouring construction robots operating had fast and high accuracy trajectory tracking and robustness against external disturbances. The findings highlight the practical significance of this approach in improving the precision and reliability of concrete pouring construction robots. </div>
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David Blitz, Jouke Hottinga · The Journal of Portfolio Management · 2001
This article presents a framework for allocating partial tracking errors to investment decisions in order to maximize the expected information ratio of an actively managed portfolio. The tracking error allocation framework is a three–step process: 1) identifying the independent investment decisions; 2) ranking the forecasting capabilities for the investment decisions; and 3) calculating the optimum partial tracking errors, given an overall tracking error limit. The key result is an understandable and transparent rule that says the target tracking error for each investment decision should be proportional to the corresponding expected information ratio. The authors illustrate the framework using examples that show some interesting practical consequences of an optimum tracking error allocation.
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Morten Højfeldt Rasmussen, Jack Mostow, Zheng-hua Tan et al. · 2012
In automatic reading tutoring, tracking is the process of automatically following a reader through a given target text. When developing tracking algorithms, a measure of the tracking accuracy – how often a spoken word is aligned to the right target text word position – is needed in order to evaluate performance and compare different algorithms. This paper presents a framework for determining the observed tracking error rate. The proposed framework is used to evaluate three tracking strategies: A) follow the reader to whichever word he/she jumps to in the text,B) follow the reader monotonically from left to right ignoring word skips and regressions (going back to a previous text word), and C) the same as B but allowing isolated word skips. Observed tracking error rate for each of the three tracking strategies is:
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PRESSACCO, Flavio · Institutional Research Information System (University of Udine) · 2012
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OLSON,GERALD O. · Defense Technical Information Center (DTIC) · 1961
INVESTIGATIONS WERE MADE OF CLOSED CIRCUIT TELEVISION TRACKING SYSTEMS. A tracking error detector was developed as a method of automatically tracking a moving object by optical means. An automatic system of this sort permits automatic recording of tracking data in numerical form, suitable for rapid data processing in standard digital computing equipment. The equipment produces a tracking rectangle which follows the target as long as it remains within the field of view of the television camera. It also supplies dc voltages proportional to the distance from the center of the rectangle to the center of the screen, to be used to drive a tracking mount which continually corrects the pointing of the television camera. (Author)
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Kosuke Fukui, Akihisa Tomita, Atsushi Okamoto · Physical review. A/Physical review, A · 2018
To implement fault-tolerant quantum computation with continuous variables, the Gottesman--Kitaev--Preskill (GKP) qubit has been recognized as an important technological element. We have proposed a method to reduce the required squeezing level to realize large-scale quantum computation with the GKP qubit [Phys. Rev. X 8, 021054 (2018)], harnessing the virtue of analog information in the GKP qubits. In the present work, to reduce the number of qubits required for large-scale quantum computation, we propose the tracking quantum error correction, where the logical-qubit-level quantum error correction is partially substituted by the single-qubit-level quantum error correction. In the proposed method, the analog quantum error correction is utilized to make the performances of the single-qubit-level quantum error correction almost identical to those of the logical-qubit-level quantum error correction in a practical noise level. The numerical results show that the proposed tracking quantum error correction reduces the number of qubits during a quantum error-correction process by the reduction rate ${2(n\ensuremath{-}1){4}^{l\ensuremath{-}1}\ensuremath{-}n+1}/(2n\ifmmode\times\else\texttimes\fi{}{4}^{l\ensuremath{-}1})$ for $n$-cycles of the quantum error-correction process using Knill's ${C}_{4}/{C}_{6}$ code with the concatenation level $l$. Hence, the proposed tracking quantum error correction has great advantage in reducing the required number of physical qubits, and will open a new way to expoloit the advantages of the GKP qubits in practical quantum computation.
Cited by 21Open access
CESA-Colegio de Estudios Superiores de Administración eBooks · 2023
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Saleem Riaz (14445573), Rong Qi (1647328), Onder Tutsoy (14445576) et al. · Figshare · 2023
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Sidney Homer, Martin L. Leibowitz · 2013
The simplest presentation of yield volatility is a distribution of terminal yields. If a trendline (TL) path is assumed to lead such terminal yields, the return volatility is simply the yield volatility multiplied by the magnitude of the TL duration. A more comprehensive characterization of yield volatility would incorporate the multiple random non-TL yield pathways that lead to each terminal yield. The deviation of the individual non-TL paths will give rise to individual returns that vary from the TL return. In aggregate, these return variations will comprise a tracking error (TE) that is incremental to the TL volatility. When this TE is independent of the TL volatility, a total return volatility can be calculated as the square root of the sum of squares of the TL volatility and the TE.
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Fukui, Kosuke, Tomita, Akihisa, Okamoto, Atsushi · arXiv (Cornell University) · 2018
To implement fault-tolerant quantum computation with continuous variables, the Gottesman--Kitaev--Preskill (GKP) qubit has been recognized as an important technological element. We have proposed a method to reduce the required squeezing level to realize large scale quantum computation with the GKP qubit [Phys. Rev. X. {\bf 8}, 021054 (2018)], harnessing the virtue of analog information in the GKP qubits. In the present work, to reduce the number of qubits required for large scale quantum computation, we propose the tracking quantum error correction, where the logical-qubit level quantum error correction is partially substituted by the single-qubit level quantum error correction. In the proposed method, the analog quantum error correction is utilized to make the performances of the single-qubit level quantum error correction almost identical to those of the logical-qubit level quantum error correction in a practical noise level. The numerical results show that the proposed tracking quantum error correction reduces the number of qubits during a quantum error correction process by the reduction rate $\left\{{2(n-1)\times4^{l-1}-n+1}\right\}/({2n \times 4^{l-1}})$ for $n$-cycles of the quantum error correction process using the Knill's $C_{4}/C_{6}$ code with the concatenation level $l$. Hence, the proposed tracking quantum error correction has great advantage in reducing the required number of physical qubits, and will open a new way to bring up advantage of the GKP qubits in practical quantum computation.
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Usman Javaid (12152438), Jamshed Iqbal (82302), Adeel Mehmood (10451963) et al. · Figshare · 2022
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Waqas Anjum (8415186), Abdul Rashid Husain (8415189), Junaidi Abdul Aziz (8415192) et al. · Figshare · 2020
<p>Reference tracking and observer performance (a) voltage tracking error (b) voltage estimation error (c) current estimation error.</p>
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Andrew Kane · 2016
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Saleem Riaz (14445573), Rong Qi (1647328), Onder Tutsoy (14445576) et al. · Figshare · 2023
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Michael Maxwell, Michael Daly, Daniel Thomson et al. · Applied Economics · 2018
Active portfolios subject to tracking error (TE) constraints are the typical setup for active managers tasked with outperforming a benchmark. The risk and return relationship of such constrained portfolios is described by an ellipse in traditional mean-variance space and the ellipse’s flat shape suggests an additional constraint which improves the performance of the active portfolio. Although subsequent work isolated and explored different portfolios subject to these constraints, absolute portfolio risk has been consistently ignored. A different restriction – maximization of the traditional Sharpe ratio on the constant TE frontier in absolute risk/return space – is added here to the existing constraint set, and a method to generate this portfolio is explained. The resultant portfolio has a lower volatility and higher return than the benchmark, it satisfies the TE constraint and the ratio of excess absolute return to risk is maximized (i.e. maximum Sharpe ratio in absolute space).
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Tian Luo (207080), Xiaobin Liu (344083) · Figshare · 2024
<div><p>Vehicle platooning improves energy savings via vehicle-to-vehicle (V2V) communication. Ecological cooperative adaptive cruise control (Eco-CACC) is implemented in platoons for merging task by using regrouped platoon models. The merging positions are selected in the middle and tail of an original platoon with a two-vehicle sub-platoon. The distributed nonlinear model predictive controller based on signal temporal logic (DNMPC-STL) approach is developed to model the Eco-CACC merging strategy. The performance of the Eco-CACC merging strategy is modeled by objective control for a predecessor-leader following (PLF) topology. The results demonstrate that merging positions located in the tail exhibit superior performance and can be used to improve stability, tracking performance, energy consumption efficiency and SOC of battery.</p></div>
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Georg F. Meyer (309028), Li Ting Wong (309029), Emma Timson (309030) et al. · Figshare · 2015
<p>Error bars are SEM. We compare three audio conditions: turbine modulated (A+), turbine static (A−) and substitute sound (As), and two motion conditions: motion platform on (M+) and off (M−). Pairwise comparisons over both flying conditions (hard, red; easy, black) show significant differences between the condition where neither audio, nor motion cues (A−M−) help to disambiguate visual cues in the tracking task and the other conditions.</p>
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