Intelligent information processing, modelling, and control

Methodology

This generic subject represents an intention to process information, model complex dynamics, and make control decision not only based on the information from measured NUMERICAL data through instruments but also those DESCRIPTIVE information provided from human perceptions in terms of natural languages. The tools developed and being developed are

1.     Parameter estimation with incomplete data.

2.     Generalised predictive control for nonlinear Hammerstein models.

3.     Generalised deadbeat control for nonlinear Hammerstein models.

4.     Nonlinear rational model identification and validation.

5.     Adaptive Neuro-controllers for general nonlinear plants.

6.     Integration of neuro-fuzzy modelling and control.

7.     Neuro-Kalman filters for nonlinear systems.

8.     Back propagation algorithms to deal with complixities.

9.     U-model based nonlinear control system design.

10. Fuzzy sliding mode control for complex dynamic systems.

11. Modelling of human meridian systems using neuro-fuzzy logic approach.

12. Electro-acupuncture instrumentation

13. Investigation of electrodynamics of acupuncture points and sensory stimulation effects in the human body

14. Modelling of human meridian systems.

Projects

1.     Neural network enhanced LQG controller design for complex nonlinear systems (Aston PhD project, 1/10/97-30/9/00, principal supervisor).

2.     Synchronisation and control of leather stitching head (Aston University and British United Shoe Machinery Ltd, 1/1/98-31/4/99, co-investigator).

3.     Impact damage detection of carbon fibre composites using neural networks (Aston & ORS PhD studentship, 1/10/98-30/9/01, principle supervisor).

4.     Fuzzy model based fault diagnosis for drive systems (Aston research grant, 1/10/98-30/9/01, principal supervisor).

5.     An integrated instrument system and mechanism investigation for electroacupuncture (UWE & ORS PhD studentship, 1/10/99-30/9/02, principle supervisor).

6.     Design procedure for neural network enhanced self tuning controller for nonlinear systems (EPSRC, GR/M84305, 1/10/99-30/9/02, principle investigator).

7.     Fuzzy sliding mode control of complex dynamic systems and its applications (UWE PhD studentship, 1/6/01-31/5/04, principal supervisor).

8.     Bio-inspired high reliable signal processing with self-healing and evolvable hardware architecture. (UWE PhD studentship 1/10/01-30/9/04, co-supervisor).

9.     TCS Program with SEA Ltd (1/4/02-31/3/04, supervisor of the 2nd associate).

10. Modelling and simulation of spheroid formation (MPhil, 1/11/02-31/10/05, principal supervisor).

11. The selection, training and assessment of future faculty members (Asian Link Programme, EU, 1/9/03-31/8/05, co-investigator).

12. Correlation tests for nonlinear signals including fuzzy relationships (PhD, 12/11/03-11/11/06, principal supervisor).

13. U-model enhanced self tuning PID controller design for nonlinear dynamic plants (PhD, 1/7/05-30/6/08, principal supervisor).

14. Feature extraction: Development of signature characterisation methods and applications to Airbus’ real research problems (Airbus PhD studentship, 1/7/05-30/6/08, principal supervisor).

15. Development of models and control strategies for suspension systems fitted in off-road vehicles (BIT PhD studentship, 1/10/04-30/9/08, principal supervisor).

16. Study on the movement stability of autonomous mobile robots (BIT PhD studentship, 1/10/04-30/9/08, principal supervisor).

 

Email: Quan.Zhu@uwe.ac.uk

Last Updated 20th March 2001