Journal ArticleDOI
Issues in system identification
TLDR
A brief outline is given of mainstream system identifications, i.e. the typical approaches, algorithms, and properties in the world of data-based model construction, to move from parameter estimation to system identification.Abstract:
A brief outline is given of mainstream system identifications, i.e. the typical approaches, algorithms, and properties in the world of data-based model construction. A number of important problems that are not sufficiently understood are pointed out. Particular attention is given to the problem of how to develop constructive and systematic ways to determine suitable model structures, i.e. to move from parameter estimation to system identification. >read more
Citations
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Journal ArticleDOI
Diagonal recurrent neural networks for dynamic systems control
C.-C. Ku,Kwang Y. Lee +1 more
TL;DR: Convergence theorems for the adaptive backpropagation algorithms are developed for both DRNI and DRNC and an approach that uses adaptive learning rates is developed by introducing a Lyapunov function.
Journal ArticleDOI
Control of nonlinear dynamical systems using neural networks. II. Observability, identification, and control
A.U. Levin,Kumpati S. Narendra +1 more
TL;DR: The existence of the nonlinear maps describing the identifier and controller are first established and the implications for neural network realizations are described.
Journal ArticleDOI
Application of the recurrent multilayer perceptron in modeling complex process dynamics
TL;DR: Extensive model validation studies with signals that are encountered in the operation of the process system modeled indicate that the empirical model can substantially generalize operational transients, including accurate prediction of instabilities not in the training set.
Identification of State-Space Models from Time and Frequency Data
TL;DR: This dissertation considers the identication of linear multivariable systems using finite dimensional time-invariant state-space models using vibrational analysis of mechanical structures and introduces a new model quality measure, Modal Coherence Indicator, and new multivariables frequency domain identification algorithms.
Proceedings ArticleDOI
Detecting Attacks Against Robotic Vehicles: A Control Invariant Approach
Hongjun Choi,Wen-Chuan Lee,Yousra Aafer,Fan Fei,Zhan Tu,Xiangyu Zhang,Dongyan Xu,Xinyan Deng +7 more
TL;DR: This paper presents a novel attack detection framework to identify external, physical attacks against RVs on the fly by deriving and monitoring Control Invariants (CI), and proposes a method to extract such invariants by jointly modeling a vehicle's physical properties, its control algorithm and the laws of physics.
References
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Book
Generalized Linear Models
Peter McCullagh,John A. Nelder +1 more
TL;DR: In this paper, a generalization of the analysis of variance is given for these models using log- likelihoods, illustrated by examples relating to four distributions; the Normal, Binomial (probit analysis, etc.), Poisson (contingency tables), and gamma (variance components).
Journal ArticleDOI
Classification and Regression Trees.
Book
System Identification: Theory for the User
TL;DR: Das Buch behandelt die Systemidentifizierung in dem theoretischen Bereich, der direkte Auswirkungen auf Verstaendnis and praktische Anwendung der verschiedenen Verfahren zur IdentifIZierung hat.
Journal ArticleDOI
Identification and control of dynamical systems using neural networks
TL;DR: It is demonstrated that neural networks can be used effectively for the identification and control of nonlinear dynamical systems and the models introduced are practically feasible.
Journal ArticleDOI
Partial least-squares regression: a tutorial
Paul Geladi,Bruce R. Kowalski +1 more
TL;DR: In this paper, a tutorial on the Partial Least Squares (PLS) regression method is provided, and an algorithm for a predictive PLS and some practical hints for its use are given.