Book ChapterDOI
System Identification I
Biao Huang,Yutong Qi,Akm Monjur Murshed +2 more
- pp 31-56
About:
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
More filters
Journal ArticleDOI
Elimination of impulsive disturbances from stereo audio recordings using vector autoregressive modeling and variable-order Kalman filtering
TL;DR: This paper presents a new approach to elimination of impulsive disturbances from stereo audio recordings based on vector autoregressive modeling of audio signals based on the stability-preserving Whittle-Wiggins-Robinson algorithm.
Journal ArticleDOI
Direct C/GMRES Control of The Air Path of a Diesel Engine
TL;DR: In this paper, the authors apply a method which combines both worlds, the C/GMRES method, to a production Diesel engine and test against the production controller, showing the potential performance of the suggested method but also the design simplicity.
Journal ArticleDOI
Persistently-exciting signal generation for Optimal Parameter Estimation of constrained nonlinear dynamical systems.
Leonardo de Mello Honório,Exuperry Barros Costa,Edimar J. de Oliveira,Daniel de Almeida Fernandes,António Paulo Moreira +4 more
TL;DR: This work presents a novel methodology for Sub-Optimal Excitation Signal Generation and Optimal Parameter Estimation of constrained nonlinear systems and adopts the hypothesis that, if a system can be approximated by a white box model, this model can be used as a benchmark to indicate the impact of a signal over the parametric estimation.
Journal ArticleDOI
A lagrangian propagator for artificial neural networks in constraint programming
TL;DR: A new network-level propagator based on a non-linear Lagrangian relaxation that is solved with a subgradient algorithm is proposed, capable of dramatically reducing the search tree size on a thermal-aware dispatching problem on multicore CPUs.
Dissertation
Statistical decision making for stochastic damage localization approaches
TL;DR: In this paper, the authors used the uncertainty in the estimates of the state space system can be used to derive uncertainty bounds on the damage localization residuals to decide about the damage location with a hypothesis test using one chosen Laplace value.
References
More filters
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.