Reading More About System Identification :: Getting Started (System Identification Toolbox)

NGMV Control Toolbox

Reading More About NGMV Control

The main reference for the toolbox is the book where all the control and filtering algorithms are described and illustrated:

[1] M.J. Grimble and P. Majecki "Nonlinear Industrial Control Systems: Design and Applications", Springer, 2019

A selection of other published works on NGMV control and related control algorithms are given below:

[2] Grimble, M J, 1988, Generalized minimum-variance control law revisited, Optimal Control Applications and Methods, Vol. 9, pp. 63-77.

[3] Grimble, M. J., 2005, Non-linear generalised minimum variance feedback, feedforward and tracking control, Automatica, Vol. 41, pp. 957-969.

[4] Grimble, M. J., and Majecki P., 2005, Nonlinear Generalised Minimum Variance Control Under Actuator Saturation, IFAC World Congress, Prague, Vol. 38, No. 1, pp. 993-998.

[5] Grimble, M. J., 2006, Design of Generalized Minimum Variance Controllers for Nonlinear Systems, Int. Journal of Control, Automation, and Systems, Vol. 4, No. 3, pp. 1-12.

[6] Grimble, M. J, 2007, GMV control of nonlinear continuous-time systems including common delays and state-space models, Int. Journal of Control, Vol. 80, No. 1, pp. 150-165.

[7] Grimble, M. J. and Majecki, P. M., 2008, Nonlinear GMV Control for Unstable State Dependent Multivariable Models, 47th IEEE Conference on Decision and Control, Fiesta Americana Grand Coral Beach Hotel, Cancun, Mexico, pp. 4767-4774.

[8] Pang Y and Grimble M. J., 2010, NGMV Control of Delayed Piecewise Affine Systems, IEEE Transactions on Automatic Control, Vol., 55, Issue 12, Dec. 2010, pp. 2817-2821.

[9] Grimble, M. J., and Majecki, P., 2010, State-Space Approach to Nonlinear Predictive Generalized Minimum Variance Control, Int. Journal of Control, Volume 83, Issue 8, pp. 1529-1547.

[10] Grimble, M J., 2012, Factorised H∞ control of nonlinear systems, International Journal of Control, Vol. 85, Issue 7, pp. 964-982.

[11] Grimble, M. J. and Majecki P., 2015, Nonlinear predictive generalised minimum variance state-dependent control, IET Control Theory and Applications, Vol. 9, No. 16, pp. 2438-2450.

[12] Grimble, M. J., Majecki, P. and Katebi, R., 2017, Extended NGMV Predictive Control of Quasi-LPV Systems, 20th IFAC World Congress, Toulouse, France, pp. 4162-4168.

[13] Grimble, M. J. and Majecki P., 2018, Restricted Structure Predictive Control for Linear and Nonlinear Systems, International Journal of Control, DOI: 10.1080/00207179.2018.1533252.

[14] Grimble, M. J., 2018, Three Degrees of Freedom Restricted Structure Optimal Control for quasi-LPV Systems, 57th IEEE Conference on Decision and Control, Fontainebleau Hotel, Miami Beach, FL.

Selected publications on nonlinear minimum variance based estimation methods are:

    [15] Ali-Naz, S, and M. J. Grimble, 2009, Design and Implementation of Nonlinear Minimum Variance Filters, International Journal of Advanced Mechatronic Systems, Interscience, Vol. 1, No 4.

    [16] Grimble, M. J. and Ali Naz, S., 2009, Nonlinear minimum variance estimation for discrete-time multi-channel systems, IEEE Trans. on Signal Proc., Vol. 57, Issue No. 7, pp. 2437-2444.

    [17] Grimble, M.J. and Naz, S.A., 2010, Optimal Minimum Variance Estimation for Nonlinear Discrete-time Multichannel Systems, IET Signal Processing Journal, Vol. 4, No. 6, pp. 618-629.

    [18] Ali Naz, S., Grimble, M. J., and Majecki P., 2011, 'Multi-Channel Restricted Structure Estimators for Linear and Nonlinear Systems', IET Jour. on Signal Processing, Vol. 5, Issue 4, pp. 407-417.

    [19] Grimble, M. J, 2011, 'Nonlinear Minimum Variance State Based Estimation for Discrete-Time Multi-Channel Systems', IET Journal on Signal Processing, Vol. 5, Issue 4, pp. 365 - 378.

    [20] Alkaya, A. and Grimble M. J., 2015, Non-linear minimum variance estimation for fault detection systems, Trans. of the Institute of Measurement and Control, Vol. 37, No 6, pp. 805–812

Basic Steps in NGMV Control Design Simulink Blockset