C. S. Cox

发表

A multi-objective genetic algorithm approach to feature selection in neural and fuzzy modeling

Andrew Hunter, Christos Emmanouilidis, John MacIntyre, 2001 .

Integration of Brake Based Vehicle Stability Control and Active Suspension for Improved Handling

C. S. Cox, Chandrasekaran Rengaraj, Adam Adgar, 2007 .

Integration of Yaw Control, Active Suspension and Anti-lock Brake System to Improve Ride and Handling

C. S. Cox, Chandrasekaran Rengaraj, Adam Adgar, 2006 .

Cosimulation of parameter based vehicle dynamics and an ABS control system

C. S. Cox, Chandrasekaran Rengaraj, Adam Adgar, 2006 .

NEUROFUZZY COMPUTING AIDED MACHINE FAULT DIAGNOSIS

Christos Emmanouilidis, John MacIntyre, C. S. Cox, 1998 .

Selecting features in neurofuzzy modelling by multiobjective genetic algorithms

Andrew Hunter, John MacIntyre, C. S. Cox, 1999 .

A hands-on approach to teaching system identification using first-order plus dead time modelling of step response data

C. S. Cox, Kevin Burn, K. Burn, 2018, The International Journal of Electrical Engineering & Education.

ANN-based sensing and control developments in the water industry: a decade of innovation

C. S. Cox, Adam Adgar, I. Fletcher, 2001, Proceeding of the 2001 IEEE International Symposium on Intelligent Control (ISIC '01) (Cat. No.01CH37206).

ANN-based Tools Lead to Improved Feedforward Coagulation Control Policy

Chris Jones, C. S. Cox, Adam Adgar, 2001 .

Practical approaches to traditional and predictive control loop tuning

C. S. Cox, I. Fletcher, W.J.B. Arden, 1993 .

Use of Embedded Applications in Automatic Loop Tuning

C. S. Cox, Andy Doonan, 2000 .

AGI control strategies: problems, solutions and future directions

C. S. Cox, I. Fletcher, W.J.B. Arden, 1993 .

RTE-SIM: A Simple, Low-Cost and Flexible Environment to Support the Teaching of Real-Time and Embedded Control

Michael Short, C. S. Cox, 2011 .

MIMO Fuzzy Logic Control of a Liquid Level Process

C. S. Cox, I. G. French, I. Fletcher, 1997, ICANNGA.

Simulation and Pilot Plant Trials Aid Commissioning of Neuro Self-Tuning PI Controller

C. S. Cox, Adam Adgar, T. J. Böhme, 2000 .

A Matlab Toolbox for Teaching Modern System Identification Methods for Industrial Process Control

C. S. Cox, Kevin Burn, Loïc Maerte, 2010 .

Performance Improvements at Surface Water Treatment Works Using ANN-Based Automation Schemes

C. S. Cox, Adam Adgar, T. J. Böhme, 2000 .

Process and Sensor Fault Detection: Useful Strategies for the Water Industry

Chris Jones, C. S. Cox, Adam Adgar, 2005 .

Automatic braking system control

C. S. Cox, I. Fletcher, B.J.B. Arden, 2003, Proceedings of the 2003 IEEE International Symposium on Intelligent Control.

A framework for the implementation of self-tuning/adaptive control at potable water treatment works

C. S. Cox, P. R. Daniel, A. Lowdon, 1996 .

Quicktune: A Reliable Automatic Strategy for Determining PI and PPI Controller Parameters using a FOPDT Model

C. S. Cox, P. R. Daniel, A. Lowdon, 1997 .

An Iterative Learning Control Method for a Level Control Problem

Michael H. Schwarz, C. S. Cox, 2004 .

Classical, fuzzy and genetic algorithm tuning methods for PID controllers: A comparison study using an industrial flow loop

C. S. Cox, M. H. Schwarz, Adam Adgar, 2001 .

Software Enhancements Improve Usefulness of a PI(D) Self-Tuning Application

C. S. Cox, P. R. Daniel, Andy Doonan, 2000 .

Evaluation of a remote boundary pressure control strategy using Simulink

C. S. Cox, I. Fletcher, W.J.B. Arden, 1998 .

A comparison of software-based approaches to identifying FOPDT and SOPDT model parameters from process step response data

C. S. Cox, Kevin Burn, John Tindle, 2016 .

DLL's Simplify Process Tuning

C. S. Cox, Roger Morris, Andy Doonan, 2000 .

An on-line evolutionary tuning method for a generalised predictive controller structure

C. S. Cox, M. H. Schwarz, 2004 .

Integrating Statistical and Engineering Control Techniques

C. S. Cox, Adam Adgar, Ming T. Tham, 1995 .

Modelling of a two-stage high-pressure gas reduction station

C. S. Cox, I. Fletcher, W.J.B. Arden, 1996 .

Reliable neuro self-tuning control using autoassociative neural networks for the water treatment

C. S. Cox, I. Fletcher, T. J. Böhme, 1999 .

COMPARISON OF AUTOASSOCIATIVE NEURAL NETWORKS AND KOHONEN MAPS FOR SIGNAL FAILURE DETECTION AND RECONSTRUCTION

C. S. Cox, T. J. Böhme, Nicolas Valentin, 1999 .

Real-time simulation is a necessity in the automotive industry

C. S. Cox, I. G. French, I. Fletcher, 1997 .

Quicktune: A reliable automatic strategy for determining PI and PPI controller parameters using a FOPDT model

C. S. Cox, P. R. Daniel, A. Lowdon, 1997 .

Genetic Algorithms in Structure Identification for NARX Models

C. S. Cox, I. G. French, Chin Kuan Ho, 1997, ICANNGA.

A filtered tuning method for a GPC controller

C. S. Cox, Josef Borcsok, M. H. Schwarz, 2010 .

Identification of integrating processes with time delay

C. S. Cox, Syed Imtiaz, Salim Ahmed, 2013 .

Time delay compensation: the PIP philosophy

C. S. Cox, C. Cox, P. Daniel, 1995 .

Optimal PIP control of scalar and multivariable processes

C. S. Cox, A. R. Boucher, A. J. Billington, 1991 .

Limit Cycle Prediction Conditions for a Class of Hydraulic Control System

C. S. Cox, I. G. French, 1986 .