Book ChapterDOI
System Identification I
Biao Huang,Yutong Qi,Akm Monjur Murshed +2 more
- pp 31-56
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The article was published on 2012-12-11. It has received 1704 citations till now. The article focuses on the topics: Nonlinear system identification & System identification.read more
Citations
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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
Linear predictors for nonlinear dynamical systems: Koopman operator meets model predictive control
Milan Korda,Igor Mezic +1 more
TL;DR: This work extends the Koopman operator to controlled dynamical systems and applies the Extended Dynamic Mode Decomposition (EDMD) to compute a finite-dimensional approximation of the operator in such a way that this approximation has the form of a linearcontrolled dynamical system.
Journal ArticleDOI
SPICE: A Sparse Covariance-Based Estimation Method for Array Processing
Petre Stoica,Prabhu Babu,Jian Li +2 more
TL;DR: This paper presents a novel SParse Iterative Covariance-based Estimation approach, abbreviated as SPICE, to array processing, obtained by the minimization of a covariance matrix fitting criterion and is particularly useful in many- snapshot cases but can be used even in single-snapshot situations.
Journal ArticleDOI
A new kernel-based approach for linear system identification
TL;DR: A new kernel-based approach for linear system identification of stable systems that model the impulse response as the realization of a Gaussian process whose statistics include information not only on smoothness but also on BIBO-stability.
Journal ArticleDOI
Zebedee: Design of a Spring-Mounted 3-D Range Sensor with Application to Mobile Mapping
TL;DR: The results demonstrate that the six-degree-of-freedom trajectory of a passive spring-mounted range sensor can be accurately estimated from laser range data and industrial-grade inertial measurements in real time and that a quality 3-D point cloud map can be generated concurrently using the same data.
References
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Journal ArticleDOI
Recursive Identification Method for Piecewise ARX Models: A Sparse Estimation Approach
TL;DR: The proposed method uses a likelihood-based methodology which adaptively penalizes model complexity and directly leads to a recursive implementation, in this sparse estimation approach, the tuning of user parameters is avoided, and the computational complexity is kept linear in the number of data samples.
Journal ArticleDOI
Nonlinear 3D path following control of a fixed-wing aircraft based on acceleration control
TL;DR: Results of flight experiments show that the designed control concept is particularly beneficial in terms of the tracking performance for 3D paths, the incorporation of input constraints, the robustness against wind and turbulence effects, and the ease of implementation as well as the low computational complexity.
Journal ArticleDOI
Implementation, parameters calibration and field validation of a Closed Loop Performance Monitoring system
Claudio Scali,Marco Farnesi +1 more
TL;DR: The architecture of a performance monitoring system which supervises more than 1200 loops of refinery plants, and characteristics of modules which accomplish different tasks of data acquisition and transfer, system configuration and priority assignment, performance analysis and verdicts emission, database query and operator support are illustrated.
Journal ArticleDOI
Trajectory-based DEIM (TDEIM) model reduction applied to reservoir simulation
TL;DR: An extended TDEIM is proposed in which the nonlinear term is expanded along the training trajectory to include an additional higher order derivative to improve the accuracy of the reduced model further when handling significant discrepancies between the training and test boundary controls.
Journal ArticleDOI
Robust μ-synthesis Loop Shaping for Altitude Flight Dynamics of a Flying-Wing Airframe
TL;DR: The study indicates that the μ synthesis autopilot designed possesses better performances both in time and frequency domain as indicated by reasonably quick settling time in the absence of overshoot while still maintaining better robust stability margin.