A fast convergent extended Kalman observer for nonlinear discrete-time systems. - Lingzhong Guo; Q. M. Zhu (Int. J. Syst. Sci., 2002)

Stable adaptive neurocontrol for nonlinear discrete-time systems. - Quanmin Zhu; Lingzhong Guo (IEEE Trans. Neural Networks, 2004)

A Comparison of Polynomial and Wavelet Expansions for the Identification of Chaotic Coupled Map Lattices. - Lingzhong Guo; S. A. Billings (Int. J. Bifurc. Chaos, 2005)

A Neighborhood Selection Method for Cellular Automata Models. - S. S. Mei; Stephen A. Billings; Lingzhong Guo (Int. J. Bifurc. Chaos, 2005)

Identification of coupled map lattice models for spatio-temporal patterns using wavelets. - Stephen A. Billings; Lingzhong Guo; Hua-Liang Wei (Int. J. Syst. Sci., 2006)

Identification of Partial Differential Equation Models for Continuous Spatio-Temporal Dynamical Systems. - Lingzhong Guo; Stephen A. Billings (IEEE Trans. Circuits Syst. II Express Briefs, 2006)

Identification of Binary Cellular Automata from Spatio-Temporal Binary Patterns Using a Fourier Representation. - Lingzhong Guo; Stephen A. Billings (Int. J. Bifurc. Chaos, 2007)

A modified orthogonal forward regression least-squares algorithm for system modelling from noisy regressors. - Lingzhong Guo; Stephen A. Billings (Int. J. Control, 2007)

Neighbourhood detection and identification of spatio-temporal dynamical systems using a coarse-to-fine approach. - Lingzhong Guo; S. S. Mei; S. A. Billings (Int. J. Syst. Sci., 2007)

State-Space Reconstruction and Spatio-Temporal Prediction of Lattice Dynamical Systems. - Lingzhong Guo; Stephen A. Billings (IEEE Trans. Autom. Control., 2007)

An extended orthogonal forward regression algorithm for system identification using entropy. - Lingzhong Guo; Stephen A. Billings; D. Q. Zhu (Int. J. Control, 2008)

Identification and analysis of spatio-temporal dynamical systems using wavelets. - Lingzhong Guo; Stephen A. Billings (Int. J. Syst. Sci., 2008)

Consistent recursive parameter estimation of partial differential equation models. - Lingzhong Guo; Stephen A. Billings; Daniel Coca (Int. J. Control, 2009)

Identification of multiscale spatio-temporal dynamical systems using a wavelet multiresolution analysis. - Lingzhong Guo; Stephen A. Billings; Daniel Coca (Int. J. Syst. Sci., 2009)

Lattice Dynamical Wavelet Neural Networks Implemented Using Particle Swarm Optimization for Spatio-Temporal System Identification. - Hua-Liang Wei; S. A. Billings; Yifan Zhao 001; Lingzhong Guo (IEEE Trans. Neural Networks, 2009)

Identification of partial differential equation models for a class of multiscale spatio-temporal dynamical systems. - Lingzhong Guo; Stephen A. Billings; Daniel Coca (Int. J. Control, 2010)

An adaptive wavelet neural network for spatio-temporal system identification. - Hua-Liang Wei; Stephen A. Billings; Yifan Zhao 001; Lingzhong Guo (Neural Networks, 2010)

Bayesian identification of stochastic linear systems with observations at multiple scales. - Lingzhong Guo; S. A. Billings; Daniel Coca; Michael A. Balikhin (Int. J. Syst. Sci., 2011)

Characterizing nonlinear Spatio-Temporal Systems in the Frequency Domain. - Yuzhu Guo; Lingzhong Guo; S. A. Billings; Daniel Coca; Zi Qiang Lang (Int. J. Bifurc. Chaos, 2012)

A Volterra series representation for a class of nonlinear infinite dimensional systems with periodic boundary conditions. - Lingzhong Guo; Yuzhu Guo; S. A. Billings; Daniel Coca; Zi Qiang Lang (Syst. Control. Lett., 2013)

A Spatial Frequency Domain Analysis of the Belousov-Zhabotinsky Reaction. - Lingzhong Guo; Yuzhu Guo; Yifan Zhao 001; Stephen A. Billings; Daniel Coca; Zhi Qiang Lang (Int. J. Bifurc. Chaos, 2014)

A parametric frequency response method for non-linear time-varying systems. - Yuzhu Guo; Lingzhong Guo; S. A. Billings; Daniel Coca; Zi Qiang Lang (Int. J. Syst. Sci., 2014)

Identification of nonlinear systems with non-persistent excitation using an iterative forward orthogonal least squares regression algorithm. - Yuzhu Guo; Lingzhong Guo; Stephen A. Billings; Hua-Liang Wei (Int. J. Model. Identif. Control., 2015)

An iterative orthogonal forward regression algorithm. - Yuzhu Guo; Lingzhong Guo; Stephen A. Billings; Hua-Liang Wei (Int. J. Syst. Sci., 2015)

Approximate observability of infinite dimensional bilinear systems using a Volterra series expansion. - Lingzhong Guo; Yuzhu Guo; Stephen A. Billings; Daniel Coca (Syst. Control. Lett., 2015)

Ultra-Orthogonal Forward Regression Algorithms for the Identification of Non-Linear Dynamic Systems. - Yuzhu Guo; Lingzhong Guo; S. A. Billings; Hua-Liang Wei (Neurocomputing, 2016)

Identification of continuous-time models for nonlinear dynamic systems from discrete data. - Yuzhu Guo; Lingzhong Guo; Stephen A. Billings; Hua-Liang Wei (Int. J. Syst. Sci., 2016)

A New Proxy Measurement Algorithm with Application to the Estimation of Vertical Ground Reaction Forces Using Wearable Sensors. - Yuzhu Guo; Fabio Storm; Yifan Zhao 001; Stephen A. Billings; Aleksandar Pavic; Claudia Mazzà; Lingzhong Guo (Sensors, 2017)

Multi-objective Optimization Coordination for Urban Arterial Roadway Based on Operational-Features. - Feng Qiao; Haochen Sun 002; Lingzhong Guo; Haolin Song; Zhaoyan Wang (ICSCIB, 2018)

Neural activity inspired asymmetric basis function TV-NARX model for the identification of time-varying dynamic systems. - Yuzhu Guo; Lipeng Wang; Yang Li 010; Jingjing Luo; Kailiang Wang; S. A. Billings; Lingzhong Guo (Neurocomputing, 2019)

A two-level identification model for selecting the coordination strategy for the urban arterial road based on fuzzy logic. - Haochen Sun 002; Feng Qiao; Zhaoyan Wang; Lingzhong Guo (Int. J. Simul. Process. Model., 2019)

Machine Learning Approaches for Cancer Bone Segmentation from Micro Computed Tomography Images. - Yifei Zhu 002; Alanna C. Green; Lingzhong Guo; Holly R. Evans; Lyudmila Mihaylova (FUSION, 2020)

Towards Data-Driven Modelling of Sumoylation Following Heat Shock. - Manyu Zhang; Yifei Zhang; Alice Zhao; Chun Guo 009; Lingzhong Guo (ICBBE, 2020)

Ultra-short-term wind power prediction based on double decomposition and LSSVM. - Bin Qin; Xun Huang; Xin Wang 112; Lingzhong Guo (Trans. Inst. Meas. Control, 2023)

Efficient Higher-order Convolution for Small Kernels in Deep Learning. - Zuocheng Wen; Lingzhong Guo (CoRR, 2024)