Lingzhong Guo
Affiliations:- University of Sheffield, UK
According to our database1,
Lingzhong Guo
authored at least 34 papers
between 2002 and 2023.
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Bibliography
2023
Trans. Inst. Meas. Control, October, 2023
2020
Proceedings of the ICBBE 2020: 7th International Conference on Biomedical and Bioinformatics Engineering, 2020
Machine Learning Approaches for Cancer Bone Segmentation from Micro Computed Tomography Images.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020
2019
A two-level identification model for selecting the coordination strategy for the urban arterial road based on fuzzy logic.
Int. J. Simul. Process. Model., 2019
Neural activity inspired asymmetric basis function TV-NARX model for the identification of time-varying dynamic systems.
Neurocomputing, 2019
2018
Multi-objective Optimization Coordination for Urban Arterial Roadway Based on Operational-Features.
Proceedings of the Advancements in Smart City and Intelligent Building, 2018
2017
A New Proxy Measurement Algorithm with Application to the Estimation of Vertical Ground Reaction Forces Using Wearable Sensors.
Sensors, 2017
2016
Identification of continuous-time models for nonlinear dynamic systems from discrete data.
Int. J. Syst. Sci., 2016
Ultra-Orthogonal Forward Regression Algorithms for the Identification of Non-Linear Dynamic Systems.
Neurocomputing, 2016
2015
Approximate observability of infinite dimensional bilinear systems using a Volterra series expansion.
Syst. Control. Lett., 2015
Identification of nonlinear systems with non-persistent excitation using an iterative forward orthogonal least squares regression algorithm.
Int. J. Model. Identif. Control., 2015
2014
Int. J. Syst. Sci., 2014
Int. J. Bifurc. Chaos, 2014
2013
A Volterra series representation for a class of nonlinear infinite dimensional systems with periodic boundary conditions.
Syst. Control. Lett., 2013
2012
Int. J. Bifurc. Chaos, 2012
2011
Bayesian identification of stochastic linear systems with observations at multiple scales.
Int. J. Syst. Sci., 2011
2010
Neural Networks, 2010
Identification of partial differential equation models for a class of multiscale spatio-temporal dynamical systems.
Int. J. Control, 2010
2009
Lattice Dynamical Wavelet Neural Networks Implemented Using Particle Swarm Optimization for Spatio-Temporal System Identification.
IEEE Trans. Neural Networks, 2009
Identification of multiscale spatio-temporal dynamical systems using a wavelet multiresolution analysis.
Int. J. Syst. Sci., 2009
Int. J. Control, 2009
2008
Int. J. Syst. Sci., 2008
An extended orthogonal forward regression algorithm for system identification using entropy.
Int. J. Control, 2008
2007
State-Space Reconstruction and Spatio-Temporal Prediction of Lattice Dynamical Systems.
IEEE Trans. Autom. Control., 2007
Neighbourhood detection and identification of spatio-temporal dynamical systems using a coarse-to-fine approach.
Int. J. Syst. Sci., 2007
A modified orthogonal forward regression least-squares algorithm for system modelling from noisy regressors.
Int. J. Control, 2007
Identification of Binary Cellular Automata from Spatio-Temporal Binary Patterns Using a Fourier Representation.
Int. J. Bifurc. Chaos, 2007
2006
Identification of Partial Differential Equation Models for Continuous Spatio-Temporal Dynamical Systems.
IEEE Trans. Circuits Syst. II Express Briefs, 2006
Identification of coupled map lattice models for spatio-temporal patterns using wavelets.
Int. J. Syst. Sci., 2006
2005
Int. J. Bifurc. Chaos, 2005
A Comparison of Polynomial and Wavelet Expansions for the Identification of Chaotic Coupled Map Lattices.
Int. J. Bifurc. Chaos, 2005
2004
IEEE Trans. Neural Networks, 2004
2002
Int. J. Syst. Sci., 2002