1 |
Autonomous crowds tracking with box particle filtering and convolution particle filtering De Freitas A, Mihaylova L, Gning A, Angelova D, Kadirkamanathan V Automatica, 69, 380, 2016 |
2 |
Computational system identification for Bayesian NARMAX modelling Baldacchino T, Anderson SR, Kadirkamanathan V Automatica, 49(9), 2641, 2013 |
3 |
Structure detection and parameter estimation for NARX models in a unified EM framework Baldacchino T, Anderson SR, Kadirkamanathan V Automatica, 48(5), 857, 2012 |
4 |
Modelling and identification of non-linear deterministic systems in the delta-domain Anderson SR, Kadirkamanathan V Automatica, 43(11), 1859, 2007 |
5 |
Multi-objective optimization of operational variables in a waste incineration plant Anderson SR, Kadirkamanathan V, Chipperfield A, Sharifi V, Swithenbank J Computers & Chemical Engineering, 29(5), 1121, 2005 |
6 |
Fault detection and isolation in non-linear stochastic systems - A combined adaptive Monte Carlo filtering and likelihood ratio approach Li P, Kadirkamanathan V International Journal of Control, 77(12), 1101, 2004 |
7 |
Multiobjective criteria for neural network structure selection and identification of nonlinear systems using genetic algorithms Liu GP, Kadirkamanathan V IEE Proceedings-Control Theory & Applications, 146(5), 373, 1999 |
8 |
Dual adaptive control of nonlinear stochastic systems using neural networks Fabri S, Kadirkamanathan V Automatica, 34(2), 245, 1998 |
9 |
Predictive control for non-linear systems using neural networks Liu GP, Kadirkamanathan V, Billings SA International Journal of Control, 71(6), 1119, 1998 |
10 |
Stable Sequential Identification of Continuous Nonlinear Dynamical-Systems by Growing Radial Basis Function Networks Liu GP, Kadirkamanathan V, Billings SA International Journal of Control, 65(1), 53, 1996 |