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
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
More filters
Posted Content
Regret Minimization in Partially Observable Linear Quadratic Control
TL;DR: A novel way to decompose the regret is proposed and an end-to-end sublinear regret upper bound is established for partially observable linear quadratic control systems when the model dynamics are unknown a priori.
Journal ArticleDOI
Platform-Centric Self-Awareness as a Key Enabler for Controlling Changes in CPS
Mischa Mostl,Johannes Schlatow,Rolf Ernst,Nikil Dutt,Ahmed Nassar,Amir M. Rahmani,Fadi J. Kurdahi,Thomas Wild,Armin Sadighi,Andreas Herkersdorf +9 more
TL;DR: It is argued that seemingly unrelated research challenges, such as in machine learning and security, could also profit from the methods and superior modeling capabilities of self-aware systems.
Journal ArticleDOI
Bias-Compensated Least Squares Identification of Distributed Thermal Models for Many-Core Systems-on-Chip
TL;DR: This work proposes a novel distributed identification strategy to derive distributed interacting thermal models that can cope with both process noise and temperature sensor noise affecting inputs and outputs of the adopted models.
Journal ArticleDOI
A novel hybrid bacteria-chemotaxis spiral-dynamic algorithm with application to modelling of flexible systems
TL;DR: A novel hybrid optimisation algorithm namely HBCSD, which synergises a bacterial foraging algorithm (BFA) and spiral dynamics algorithm (SDA), which outperforms its predecessor algorithms in terms of fitness accuracy, convergence speed, and time-domain and frequency-domain dynamic characterisation of the two flexible systems.
Structural vs Practical Identifiability in System Biology.
TL;DR: The relevance of model identiability structural identiability is still relevant and does not require to use data collected in the exper- iment which, instead, data-based approaches do.