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
A Green Ant-Based method for Path Planning of Unmanned Ground Vehicles
TL;DR: A new ant-based path planning approach that considers UGV energy consumption in its planning strategy is proposed, called Green Ant, and integrates an ant- based algorithm with a power/energy consumption prediction model to reach its main goal, which is providing a collision-free shortest path with low power consumption.
Journal ArticleDOI
Extended Target Tracking Using Polynomials With Applications to Road-Map Estimation
TL;DR: An extended target tracking framework which uses polynomials in order to model extended objects in the scene of interest from imagery sensor data and state-space models are proposed which enables the use of Kalman filters in tracking.
Journal ArticleDOI
Learning control in robot-assisted rehabilitation of motor skills – a review
TL;DR: Experimental studies of human motor learning, in robotically controlled environments, indicate that a model consisting of a classical (iterative) learning control augmented with an appropriate kinematic model ofhuman motor motion fits the observed human learning behaviour well.
Journal ArticleDOI
Identification of Wave Energy Device Models From Numerical Wave Tank Data—Part 2: Data-Based Model Determination
TL;DR: In this paper, the identification of mathematical models describing the behavior of wave energy devices (WECs) in the ocean is investigated through the use of numerical wave tank experiments, and the authors propose to use discrete-time nonlinear autoregressive with exogenous input (NARX) models, as an alternative to continuous-time models.
Proceedings ArticleDOI
Estimation of human ankle impedance during walking using the perturberator robot
TL;DR: A novel method for removing the angle and torque profiles that resulted from walking was introduced that uses bootstrapping while taking the subtraction of multiple averaged perturbed and non-perturbed trials.
References
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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
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
A Tour of Reinforcement Learning: The View from Continuous Control
TL;DR: The authors surveys reinforcement learning from the perspective of optimization and control, with a focus on continuous control applications, and reviews the general formulation, terminology, and techniques for reinforcement learning for continuous control.
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.