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
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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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Proceedings Article
Controlled Recognition Bounds for Visual Learning and Exploration
TL;DR: In this paper, the authors focus on the problem of visual search of an object in an otherwise known and static scene, and propose a measure of control authority, and relate it to the expected risk and its proxy (conditional entropy of the posterior density).
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Modelling and Control of Gene Regulatory Networks for Perturbation Mitigation
TL;DR: This study is the first to highlight the usefulness of the S-System modelling formalism for the design of synthetic control circuits for gene regulatory networks and designs a genetic feedback controller with the objective of rejecting an external perturbation.
Towards Data-Driven Control for Modern Wind Turbines
TL;DR: In this paper, the authors proposed a novel control algorithm for the rejection of periodic disturbances in a two-bladed rotor and showed that by compensating only the smooth periodic disturbances, the control action would not create to much fatigue damage on the actuators.
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Fault-tolerant flight control using one aerodynamic control surface
Raghu Venkataraman,Peter Seiler +1 more
TL;DR: This paper considers a statically stable unmanned aircraft that is equipped with only two aerodynamic control surfaces (called elevons) and one tractor-type propeller.
Proceedings ArticleDOI
Nonlinear adaptive control of the NeuroMuscular Blockade in anesthesia
TL;DR: A nonlinear adaptive control strategy based on the Wiener model for control of the Neuro-Muscular Blockade in anesthesia that performs well regarding reference following and tackles changes in the patient's dynamics.