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Conference on Decision and Control

About: Conference on Decision and Control is an academic conference. The conference publishes majorly in the area(s): Linear system & Control theory. Over the lifetime, 39211 publication(s) have been published by the conference receiving 563171 citation(s).

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39,211 results found

Journal ArticleDOI: 10.1109/TAC.1979.1102177
01 Jan 1978-
Abstract: An algorithm for tracking multiple targets in a cluttered environment is developed. The algorithm is capable of initiating tracks, accounting for false or missing reports, and processing sets of dependent reports. As each measurement is received, probabilities are calculated for the hypotheses that the measurement came from previously known targets in a target file, or from a new target, or that the measurement is false. Target states are estimated from each such data-association hypothesis, using a Kalman filter. As more measurements are received, the probabilities of joint hypotheses are calculated recursively using all available information such as density of unknown targets, density of false targets, probability of detection, and location uncertainty. This branching technique allows correlation of a measurement with its source based on subsequent, as well as previous, data. To keep the number of hypotheses reasonable, unlikely hypotheses are eliminated and hypotheses with similar target estimates are combined. To minimize computational requirements, the entire set of targets and measurements is divided into clusters that are solved independently. In an illustrative example of aircraft tracking, the algorithm successfully tracks targets over a wide range of conditions.

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Topics: Joint Probabilistic Data Association Filter (54%), Radar tracker (53%), Statistical power (52%) ... show more

2,584 Citations

Open accessProceedings ArticleDOI: 10.1109/CDC.1999.831330
Joao P. Hespanha1, A.S. MorseInstitutions (1)
07 Dec 1999-
Abstract: It is shown that switching among stable linear systems results in a stable system provided that switching is "slow-on-the-average". In particular, it is proved that exponential stability is achieved when the number of switches in any finite interval grows linearly with the length of the interval, and the growth rate is sufficiently small. Moreover, the exponential stability is uniform over all switchings with the above property. For switched systems with inputs this guarantees that several input-to-state induced norms are bounded uniformly over all slow-on-the-average switchings. These results extend to classes of nonlinear switched systems that satisfy suitable uniformity assumptions. In this paper it is also shown that, in a supervisory control context, scale-independent hysteresis can produce switching that is slow-on-the-average and therefore the results mentioned above can be used to study the stability of hysteresis-based adaptive control systems.

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Topics: Exponential stability (60%), Adaptive control (53%), Stability (probability) (52%) ... show more

2,003 Citations

Proceedings ArticleDOI: 10.1109/CDC.1978.268028
01 Jan 1978-
Abstract: A class of fuzzy ISODATA clustering algorithms has been developed previously which includes fuzzy means. This class of algorithms is generalized to include fuzzy covariances. The resulting algorithm closely resembles maximum likelihood estimation of mixture densities. It is argued that use of fuzzy covariances is a natural approach to fuzzy clustering. Experimental results are presented which indicate that more accurate clustering may be obtained by using fuzzy covariances.

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Topics: Fuzzy clustering (79%), Fuzzy classification (72%), Fuzzy set operations (72%) ... show more

1,922 Citations

Proceedings ArticleDOI: 10.1109/CDC.2000.914233
Keqin Gu1Institutions (1)
12 Dec 2000-
Abstract: An integral inequality is derived, and applied to the stability problem of time-delay systems using discretized Lyapunov functional formulation. As the result, a simpler stability criterion is derived.

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Topics: Stability criterion (65%), Circle criterion (64%), Lyapunov function (62%) ... show more

1,429 Citations

Proceedings ArticleDOI: 10.1109/CDC.2007.4434303
Reza Olfati-Saber1Institutions (1)
01 Dec 2007-
Abstract: In this paper, we introduce three novel distributed Kalman filtering (DKF) algorithms for sensor networks. The first algorithm is a modification of a previous DKF algorithm presented by the author in CDC-ECC '05. The previous algorithm was only applicable to sensors with identical observation matrices which meant the process had to be observable by every sensor. The modified DKF algorithm uses two identical consensus filters for fusion of the sensor data and covariance information and is applicable to sensor networks with different observation matrices. This enables the sensor network to act as a collective observer for the processes occurring in an environment. Then, we introduce a continuous-time distributed Kalman filter that uses local aggregation of the sensor data but attempts to reach a consensus on estimates with other nodes in the network. This peer-to-peer distributed estimation method gives rise to two iterative distributed Kalman filtering algorithms with different consensus strategies on estimates. Communication complexity and packet-loss issues are discussed. The performance and effectiveness of these distributed Kalman filtering algorithms are compared and demonstrated on a target tracking task.

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Topics: Brooks–Iyengar algorithm (65%), Fast Kalman filter (62%), Distributed algorithm (61%) ... show more

1,327 Citations

No. of papers from the Conference in previous years

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Conference's top 5 most impactful authors

Tamer Basar

168 papers, 3.1K citations

Brian D. O. Anderson

159 papers, 3.4K citations

Karl Henrik Johansson

111 papers, 4K citations

Alessandro Astolfi

102 papers, 1.3K citations

Dennis S. Bernstein

100 papers, 1.5K citations

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