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A New Approach to Linear Filtering and Prediction Problems

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This article is published in Journal of Basic Engineering.The article was published on 1960-03-01. It has received 23905 citations till now. The article focuses on the topics: Filtering problem & Fast Kalman filter.

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Citations
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Journal ArticleDOI

ANFIS: adaptive-network-based fuzzy inference system

TL;DR: The architecture and learning procedure underlying ANFIS (adaptive-network-based fuzzy inference system) is presented, which is a fuzzy inference System implemented in the framework of adaptive networks.
Journal ArticleDOI

Deep learning in neural networks

TL;DR: This historical survey compactly summarizes relevant work, much of it from the previous millennium, review deep supervised learning, unsupervised learning, reinforcement learning & evolutionary computation, and indirect search for short programs encoding deep and large networks.
Journal ArticleDOI

Time series analysis, forecasting and control

TL;DR: Time series analysis san francisco state university, 6 4 introduction to time series analysis, box and jenkins time seriesAnalysis forecasting and, th15 weeks citation classic eugene garfield, proc arima references 9 3 sas support, time series Analysis forecasting and control pambudi, timeseries analysis forecasting and Control george e.
Book ChapterDOI

Time Series Analysis

TL;DR: This paper provides a concise overview of time series analysis in the time and frequency domains with lots of references for further reading.
Journal ArticleDOI

New Results in Linear Filtering and Prediction Theory

TL;DR: The Duality Principle relating stochastic estimation and deterministic control problems plays an important role in the proof of theoretical results and properties of the variance equation are of great interest in the theory of adaptive systems.
References
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Book

Stochastic processes

J. L. Doob, +1 more
Book

An introduction to the theory of random signals and noise

TL;DR: The aim of this book is to clarify the role of noise in the development of linear and nonlinear systems and to provide a procedure forormalising the noise generated by these systems.
Journal ArticleDOI

On the general theory of control systems

TL;DR: In this paper, a general theory of control systems is outlined which answers many basic questions (what is controllable? why? how?) and gives a highly efficient method of computation.
Book

Analytical design of linear feedback controls

TL;DR: Only for you today!
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