Michael J. Grimble

Publication Activity (10 Years)

Years Active: 1984-2022
Publications (10 Years): 6

Top Topics

Piecewise Affine

Top Venues

IEEE Trans. Syst. Man Cybern. Syst.

Publications

Zhiquan Liu, Michael J. Grimble, Reza Katebi
Rudder Roll Stabilization and Energy Minimization Using Factorized Nonlinear Generalized Minimum Variance Control for Underactuated Ships. ACC (2022)
Sultan Alotaibi, Michael J. Grimble, Luca Cavanini
Nonlinear Optimal Generalized Predictive Functional Control of Piecewise Affine Systems. MED (2021)
Yan Pang, Hao Xia, Michael J. Grimble
Resilient Nonlinear Control for Attacked Cyber-Physical Systems. IEEE Trans. Syst. Man Cybern. Syst. 50 (6) (2020)
Sultan Alotaibi, Michael J. Grimble
Nonlinear Optimal Generalized Predictive Functional Control Applied to Quasi-LPV Model of Automotive Electronic Throttle. ICCA (2019)
Sultan Alotaibi, Michael J. Grimble
Optimal Generalized Predictive Functional Control with Applications to Extended PID Control for Quadruple Tank. ICAC (2019)
Pawel Majecki, Michael J. Grimble, Ibrahim Haskara, Yiran Hu, Chen-Fang Chang
Total engine optimization and control for SI engines using linear parameter-varying models. ACC (2017)
Michael J. Grimble
Nonlinear minimum variance estimation for state-dependent discrete-time systems. IET Signal Process. 6 (4) (2012)
Arkadiusz Dutka, Hossein Javaherian, Michael J. Grimble
Data driven engine model identification and real-time adaptation. ACC (2011)
Yan Pang, Michael J. Grimble
NGMV Control of Delayed Piecewise Affine Systems. IEEE Trans. Autom. Control. 55 (12) (2010)
G. Hearns, Michael J. Grimble
Temperature control in transport delay systems. ACC (2010)
Yan Pang, Michael J. Grimble
State dependent NGMV control of delayed piecewise affine systems. CDC (2009)
Arkadiusz Dutka, Hossein Javaherian, Michael J. Grimble
Model-based engine fault detection and isolation. ACC (2009)
Michael J. Grimble, Pawel Majecki
Nonlinear Predictive GMV control. ACC (2008)
Michael J. Grimble, Pawel Majecki
Nonlinear GMV control for unstable state dependent multivariable models. CDC (2008)
Michael J. Grimble
NMV optimal estimation for nonlinear discrete-time multi-channel systems. CDC (2007)
Luisella Balbis, Andrzej W. Ordys, Michael J. Grimble, Yan Pang
Tutorial introduction to the modelling and control of hybrid systems. Int. J. Model. Identif. Control. 2 (4) (2007)
Michael J. Grimble, Yan Pang
NGMV control of state dependent multivariable systems. CDC (2007)
Michael J. Grimble
GMV control of non-linear continuous-time systems including common delays and state-space models. Int. J. Control 80 (1) (2007)
Arkadiusz Dutka, Hossein Javaherian, Michael J. Grimble
Model-Based Nonlinear Multivariable Engine Control. ACC (2007)
Michael J. Grimble, Pawel Majecki
H∞ Control of Nonlinear Systems with Common Multi-channel Delays. ACC (2006)
Jie Ni, Qing Song, Michael J. Grimble
Robust Pruning of RBF Network for Neural Tracking Control Systems. CDC (2006)
Ali S. Zayed, Amir Hussain, Michael J. Grimble
A nonlinear PID-Based Multiple controller Incorporating a Multilayered Neural Network Learning submodel. Control. Intell. Syst. 34 (3) (2006)
Arkadiusz Dutka, Hossein Javaherian, Michael J. Grimble
State-dependent Kalman filters for robust engine control. ACC (2006)
Michael J. Grimble
Non-linear generalized minimum variance feedback, feedforward and tracking control. Autom. 41 (6) (2005)
Arkadiusz S. Dutka, Andrzej W. Ordys, Michael J. Grimble
Optimized discrete-time state dependent Riccati equation regulator. ACC (2005)
Pawel Majecki, Michael J. Grimble
GMV and restricted-structure GMV controller performance assessment multivariable case. ACC (2004)
David Greenwood, Michael A. Johnson, Michael J. Grimble
Benchmarking for process control with applications in the hot strip finishing steel mill. ECC (2003)
Michael J. Grimble
Robustness of full order and restricted structure optimal control systems. CDC (2003)
Arkadiusz Dutka, Andrzej W. Ordys, Michael J. Grimble
Non-linear predictive control of 2 DOF helicopter model. CDC (2003)
Leonardo Giovanini, Michael J. Grimble
Predictive feedback control. CDC (2003)
David Greenwood, Michael A. Johnson, Michael J. Grimble
Multivariable LQG optimal control - Restricted structure control for benchmarking and tuning. ECC (2003)
James Crowe, Michael A. Johnson, Michael J. Grimble
Closed loop identification of systems within cascade connected control strategies. ECC (2003)
Michael J. Grimble, Peter Martin
Time-varying optimal control of a non-linear system. CDC (2003)
Baris Bulut, David Greenwood, Michael J. Grimble
Load distribution ratio as a benchmark for flatness using predictive control. CDC (2002)
Adrian M. Stoica, Michael J. Grimble
infinity design method for fault detection and identification problems. Analysis and Optimization of Differential Systems (2002)
D. Uduehi, Andrzej W. Ordys, Michael J. Grimble
A generalized predictive control benchmark index for SISO systems. CDC (2002)
Michael J. Grimble
Controller performance benchmarking and tuning using generalised minimum variance control. Autom. 38 (12) (2002)
M. Calligaris, M. A. Johnson, Michael J. Grimble, J. L. Fernández, J. M. Rodriguez Garcia
On performance benchmarking voltage control in a power transmission network. ACC (2001)
Michael J. Grimble
continuous-time case. ACC (2001)
Michael J. Grimble
Restricted structure optimal linear pseudo-state filtering for discrete-time systems. IEEE Trans. Signal Process. 49 (11) (2001)
Baris Bulut, D. Uduehi, Andrzej W. Ordys, Michael J. Grimble
Application of process control loop benchmarking to an oil production platform. ACC (2001)
Michael J. Grimble, D. Uduehi
Process control loop benchmarking and revenue optimization. ACC (2001)
Michael J. Grimble
Restricted structure optimal linear pseudo-state filtering for discrete-time systems. ACC (2000)
Baris Bulut, M. R. Katebi, Michael J. Grimble
Predictive control of hot rolling processes. ACC (2000)
Fernando Tadeo, Michael J. Grimble, Pastora Vega
optimal controller for a hydrogen reformer plant. ACC (2000)
Paul R. Kalata, Kevin M. Murphy, Michael J. Grimble, M. R. Katebi
filtering: stability and performance limits. ACC (2000)
Michael J. Grimble
Pseudo-state approach to observer based optimal discrete-time estimation. IEEE Trans. Autom. Control. 45 (6) (2000)
Michael J. Grimble
Stochastic control of discrete systems: a separation principle for Wiener and polynomial systems. IEEE Trans. Autom. Control. 44 (11) (1999)
M. R. Katebi, Michael J. Grimble
Integrated control, guidance and diagnosis for reconfigurable autonomous underwater vehicle control. Int. J. Syst. Sci. 30 (9) (1999)
Michael J. Grimble
A separation principle for continuous-time polynomial systems. ECC (1999)
Michael J. Grimble
Robust filter design for uncertain systems defined by both hard and soft bounds. IEEE Trans. Signal Process. 44 (5) (1996)
Michael J. Grimble
Time-varying polynomial systems approach to multichannel optimal linear filtering. ICASSP (1995)
Michael J. Grimble
inferential filtering, prediction, and smoothing with application to rolling mill gauge estimation. IEEE Trans. Signal Process. 42 (8) (1994)
Michael J. Grimble
Polynomial Matrix Solution of the H/Infinity/ Filtering Problem and the Relationship to Riccati Equation State-Space Results. IEEE Trans. Signal Process. 41 (1) (1993)
Michael J. Grimble
fixed-lag smoothing filter for scalar systems. IEEE Trans. Signal Process. 39 (9) (1991)
Michael J. Grimble, Ahmed El Sayed
optimal linear filtering problem for discrete-time systems. IEEE Trans. Acoust. Speech Signal Process. 38 (7) (1990)
Michael J. Grimble
Research survey : M. J. Grimble. Autom. 20 (6) (1984)
Michael J. Grimble
Implicit and explicit LQG self-tuning controllers. Autom. 20 (5) (1984)