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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Proceedings ArticleDOI
A hybrid prognosis and health monitoring strategy by integrating particle filters and neural networks for gas turbine engines
TL;DR: A novel hybrid structure is proposed for the development of health monitoring techniques of nonlinear systems by integration of model-based and computationally intelligent and data-driven techniques.
Journal ArticleDOI
Algebraic parameters identification of DC motors: methodology and analysis
TL;DR: In this work, the methodology is developed and analysed, its convergence, a comparative study between the traditional recursive least square method and the algebraic identification method is carried out, and an analysis of the estimator in a noisy system is presented.
Proceedings ArticleDOI
A Novel Control Framework of Haptic Take-Over System for Automated Vehicles
Chen Lv,Huaji Wang,Dongpu Cao,Yifan Zhao,Mark J.M. Sullman,Daniel J. Auger,James Brighton,Rebecca Matthias,Lee Skrypchuk,Alexandros Mouzakitis +9 more
TL;DR: The high-level framework of the haptic take-over control system, which takes driver cognitive workload, neuromuscular dynamics and optimal trajectory planning into consideration, is developed and the determination approach of the optimal input sequence is introduced.
Proceedings ArticleDOI
Bridging the gap between open-loop and closed-loop control in co-design: A framework for complete optimal plant and control architecture design
TL;DR: This framework bridges the inherent gap between open-loop optimal trajectories provided by particular co-design studies and practically implementable control laws through a step-by-step process where a series of optimization problems are solved.
Journal ArticleDOI
Fault diagnosis of nonlinear systems using recurrent neural networks
TL;DR: One of the advantages of the proposed methodology is that it does not require the existence of plant fault history or first principles models unlike other existing results in the literature, and it enables isolation of actuators and simultaneous actuator and sensor faults in highly interconnected systems.
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.