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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Nonlinear modeling of the guitar signal chain enabling its real-time emulation
TL;DR: This thesis is devoted to the emulation of the nonlinear devices present in a guitar signal chain and develops two methods based on a subclass of the Volterra series where only static nonlinearities are considered: the polynomial parallel cascade of Hammerstein models.
Journal ArticleDOI
Retrospective Cost Optimization for Adaptive State Estimation, Input Estimation, and Model Refinement
TL;DR: Retrospective cost optimization was originally developed for adaptive control is shown how this technique is applicable to three distinct but related problems, namely, state estimation, input estimation, and model refinement.
Journal ArticleDOI
Effective Locomotion at Multiple Stride Frequencies Using Proprioceptive Feedback on a Legged Microrobot
Neel Doshi,Kaushik Jayaram,Kaushik Jayaram,Samantha Castellanos,Samantha Castellanos,Scott Kuindersma,Robert J. Wood,Robert J. Wood +7 more
TL;DR: This work uses concomitant sensing for piezoelectric actuation with a computationally efficient framework for estimation and control of leg trajectories on a quadrupedal microrobot to demonstrate high performance locomotion at stride frequencies of (10-30Hz) where the robot's natural dynamics result in poor open-loop locomotion.
Journal ArticleDOI
A degradation-based detection framework against covert cyberattacks on SCADA systems
TL;DR: This article develops a data-driven detection framework that utilizes the degradation process of the SCADA system to detect covert attacks and derives mathematical characteristics of the degradation processes under covert attacks that are used for developing a sequential likelihood ratio test method for attack detection.