Book ChapterDOI
System Identification I
Biao Huang,Yutong Qi,Akm Monjur Murshed +2 more
- pp 31-56
Reads0
Chats0
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
Posted Content
Finite Time Identification in Unstable Linear Systems
TL;DR: In this article, the identification error of the least square estimates for a fairly large class of heavy-tailed noise distributions, and transition matrices of such systems, are established for stable linear systems.
Journal ArticleDOI
Steering Control for Rollover Avoidance of Heavy Vehicles
TL;DR: An estimator based on the high-order sliding mode observer is developed to estimate the vehicle dynamics, such as lateral acceleration limit and center height of gravity, and the identification of unsprung masses and suspension stiffness parameters of the model have been computed to increase the robustness of the method.
Journal ArticleDOI
Optimal experiment design for open and closed-loop system identification
TL;DR: This article reviews the development of experiment design in the field of identification of dynamical systems, from the early work of the seventies on input design for open loop identification to the developments of the last decade that were spurred by the research on identification for control.
Posted Content
Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control
TL;DR: In this paper, a deep learning framework called SymODEN is proposed to infer the dynamics of a physical system, given by an ordinary differential equation (ODE), from observed state trajectories.
Proceedings ArticleDOI
Finite horizon MPC for systems in innovation form
TL;DR: This work provides the correct finite-horizon LQG controller for this system and uses this to develop a state space representation of the closed-loop system that is used for closed- loop frequency and covariance analysis.
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.