Selected publications:
Journal papers
1) Q.M. Zhu and S.A. Billings, Fast
orthogonal identification of nonlinear stochastic models and radial basis function neural networks, Int. J. Control, Vol. 64, No.
5, pp. 871-886, 1996.
2) Z. Ma and Q.M. Zhu, Robust self-tuning
control explicit algorithm for nonlinear systems, Control Theory and
Applications, Vol. 11, pp. 897-901, 1997(Chinese).
3) T.C. Yang, H. Cimen,
and Q.M. Zhu, Decentralised load frequency controller design based on
structured singular values, IEE Proc.-Gener. Transm. Distrib, Vol. 145, No. 1, pp. 7-14, 1998.
4) H. Qin, Y.G. Hong, S.W. Mei, and Q.M. Zhu,
Finite attraction for nonlinear uncertain mechanical systems, IMA
Journal of Mathematical Control and Information, IMA J. Math Control &
Info. Vol. 15, pp. 397-407, 1998.
5) Y.M. Zhang and Q.M. Zhu, Selecting
optimal ARMA order by a minimum spectrum distance criterion, Int. J.
Systems Science, No. 2, pp. 223-237, 1999.
6) Q.M. Zhu, Z. Ma, and K. Warwick, A
neural network enhanced generalised minimum variance self tuning control for
nonlinear discrete-time systems, IEE Proc.-Control Theory Appl., Vol. 146, No. 4, pp. 319-326, 1999.
7) K.Z. Mao, S.A. Billings, and Q.M. Zhu, A
regularised least squares algorithm for nonlinear rational model identification,
Int. J. Systems Science, Vol. 30, pp. 455-465, 1999.
8) Q.M. Zhu, Y.G. Hong, H.S. Qin, and P.N.
Chen, Stabilization of a class of generalized bilinear systems, Int. J.
of Robust and Nonlinear Control, Vol. 9, pp. 573-579, 1999.
9) K. Warwick, Q.M. Zhu,
and Z. Ma, A hyperstable neural network for the
modelling and control of nonlinear systems, Sadhana. Vol. 25, Part 2, pp. 169-180, 2000.
10) Q.M. Zhu and K. Warwick, A neural
network enhanced generalised minimum variance self tuning PID control algorithm
for complex dynamic systems, Journal of Systems and Control Engineering,
Proceedings of the Institution of Mechanical Engineers Part I, Vol. 126, No. 3,
pp. 265-273, 2002.
11) Q.M. Zhu and Y.J. Wang, Stability of a
class of nonlinear systems, Journal of HUST (nature science), Vol. 30, No.
11, pp. 25-27, 2002 (Chinese).
12) L.Z. Guo and Q.M. Zhu, A fast
convergent extended Kalman observer for nonlinear
discrete-time systems, Int. J. Systems Science, Vol. 33, No. 13, pp.
1051-1058, 2002.
13) Q.M. Zhu and L.Z. Guo, A pole
placement controller for nonlinear dynamic plants, Journal of Systems and
Control Engineering, Proceedings of the Institution of Mechanical Engineers
Part I, Vol. 216, No. 6, pp. 467-476, 2002.
14) Q.M. Zhu, A back propagation algorithm
to estimate the parameters of nonlinear dynamic rational models, Applied
Mathematical Modelling, Vol. 27, pp. 169-187, 2003.
15) F. Qiao, Q.M.
Zhu, A. Winfield, and C. Melhuish, Fuzzy Sliding
Mode Control for Discrete Time Nonlinear Systems, Computing Technology and
Automation (Transactions of China Automation Society), Vol. 22, No. 2 (Sum No.
86), pp. 311-316, Jun 2003.
16) S.Y. Li, X.N. Du, and Q.M. Zhu, Nash-optimisation enhanced distributed model predictive control, Nonlinear Dynamic and Systems Theory, Vol. 2, pp. 163-176, 2003.
17) Q.M. Zhu and L.Z. Guo, Stable adaptive
neurocontrol for nonlinear discrete-time systems,
IEEE Transactions on Neural Networks, vol. 15, pp. 653-662, 2004.
18) F. Qiao, Q.M.
Zhu, A. Winfield, and C. Melhuish, Adaptive
sliding mode control for MIMO nonlinear systems based on a fuzzy logic scheme,
International Journal of Automation and Computing, Vol. 1, pp. 51-62, 2004.
19) S.Y. Li, Y. Zhang, and Q.M. Zhu, Nash-optimazation enhanced distributed model predictive control applied to the shell benchmark problem, Information Science, Vol. 170, pp. 329-349, 2005.
20) Q.M. Zhu, An implicit least squares
algorithm for nonlinear rational model parameter estimation, Applied
Mathematical Modelling, Vol. 29, pp. 673-689, 2005.
21) L. Cheng, Y.J. Wang, and Q.M. Zhu, A communication-based multirobot rigid formation control system: Design and Analysis, Vol. 1, pp. 13-22, Int. J. Modelling, Identification and Control, 2006.
22) L.F. Zhang, Q.M. Zhu, and A. Longden, A set of novel correlation tests for nonlinear system variables, Int. J. Systems Science, Vol. 38, pp. 47-60, 2007.
23) L.Z. Guo, Q.M. Zhu, and K. Warwick, Design of a minimum variance MIMO neuro self-tuning PID controller for nonlinear dynamic systems, Proc. Instn. Mech. Enger, Part I: Journal of Systems and Control Engineering, Vol. 221, pp. 75-88, 2007.
24) T. Zou, X.
Wang, S.Y. LI, and Q.M. Zhu, A mixed logic enhanced multi-model switching
predictive controller for nonlinear dynamic processes, Control and Intelligent
Systems, Vol. 35, pp. 154-161, 2007.
25) Y. Zhang, S.Y. Li, and Q.M. Zhu, Backstepping-enhanced decentralized PID control for MIMO processes with an experimental study, IET Control Theory & Applications, Vol. 1, pp. 704-712, 2007.
26) Q.M. Zhu, L.F. Zhang, and A. Longden,
Development of omni-directional correlation
functions for nonlinear model validation,
Vol. 43, pp. 1519-1531, Automatica, 2007.
27) J. Zhao, Z. Ma, N. Lin, and Q.M. Zhu,
A novel adaptive laser scanning sensor for
reverse engineering
Conference papers
1) Q.M. Zhu and S.A. Billings, Approximation
to nonlinear equations using nonlinear rational models, part I---theory,
International Conference on Identification in Engineering Systems, Proceedings,
pp. 97-106, Swansea, UK, 1996.
2) Q.M. Zhu and S.A. Billings, Approximation
to nonlinear equations using nonlinear rational models, part II---applications,
International Conference on Identification in Engineering Systems, Proceedings,
pp. 107-116,
3) H.S. Qin, S.W. Mei, Q.M. Zhu, and Y.G.
Hong, Robust attraction for MIMO affine nonlinear uncertain systems,
13th World Congress of IFAC, Preprints, Vol. F, paper 2b-20.1, San Francisco,
USA, 1996.
4) S. Ansted, Q.M.
Zhu, and J. Kearsey, Harmonic control; a symbolic
language aided control engineering design program, 7th IFAC Symposium on
Computer Aided Control System Design --- CADSD'97, Preprints, pp. 133-137,
Gent, Belgium, 1997.
5) Q.M. Zhu and S.A.
Billings, Properties of higher order correlation function tests for
nonlinear model validation, IECON'97 (The 23rd Annual International Conference
of the IEEE Industrial Electronics Society), Proceedings, pp. 306-310, Vol. 1,
6) Q.M. Zhu, M.R. Hayns,
and S.D. Garvey, Design of a neural network enhanced auto-tuning PID
controller, International Conference on Computation Intelligence for
Modelling, Control, and Automation, CIMCA'99, Proceedings, pp. 69-74, Vol. 54,
Vienna, Austria, 1999.
7) Q.M. Zhu, J.E.T. Penny, and S.D. Garvey, Detection
of nonlinear dynamic systems, International Conference on Identification in
Engineering Systems, Proceedings, pp. 93-101, Swansea, UK, 1999.
8) N.Liu, Q.M. Zhu,
C.Y. Wei, and P.E. Irving, Impact detection in carbon fibre composites using
neural networks and acoustic emission, International Conference on Damage
Assessment of Structures, Proceedings, pp. 43-54, Dublin, Ireland, 1999.
9) X.Z. Sun, Q.M. Zhu, J.E.T. Penny, and S.D.
Garvey, Fault diagnosis of a class AFC mining equipment, International
Conference on Damage Assessment of Structures, Proceedings, pp. 291-300,
Dublin, Ireland, 1999.
10) P.N. Chen, H.S. Qin, and Q.M. Zhu, Dynamic
output feedback stabilization of partially linear composite systems, 14th
World Congress of IFAC, Preprints, Vol. E, pp. 345-350, Beijing, China, 1999.
11) Q.M. Zhu, D. Jiang and H. Li, Development
of intelligent acupuncture moxibustion instruments,
Chinese Medicine Conference, Hong Kong, 2000.
12) Q.M. Zhu and K.Warwick,
A neuro PID controller for complex dynamic plants,
IFAC Workshop on Digital Control, Past, present and future of PID Control,
Preprints, pp. 59-64, Terrassa, Spain, 2000.
13) L.Z. Guo and Q.M. Zhu, Rolling force
prediction in hot strip mill using online neural network training, PREP,
Proceedings, pp. 376-380, Nottingham, UK, 2000.
14) N.Liu, Q.M.
Zhu, C.Y. Wei, and P.E. Irving, Acoustic emission signal processing to
detect impact damage location using neural networks, PREP, Proceedings, pp.
360-365, Nottingham, UK, 2000.
15) Q.M. Zhu, Intelligent
PID controllers for complex dynamic systems, IEE Workshop on Learning
Systems for Control, Proceedings pp. 11/1-3,
16) Z. Zhang, N.R. Fahmi,
and Q.M. Zhu, Special load analysis, UPEC 2000, 35 Universities Power
Engineering Conference, Proceedings pp. **-**, Belfast, Northern Ireland, UK,
2000.
17) B.K. Thapa, B. Jones, and Q.M. Zhu. Non-linear control with neural networks,
Fourth International Conference on Knowledge-Based Intelligent Engineering
Systems & Allied Technologies, Proceedings, Vol. 2, pp. 868-873, Brighton
UK, 2000.
18) X.W. Sun and Q.M. Zhu, A computer
based acupuncture medical instrument, 3rd ICBEM, Proceedings pp. 95-96,
Bled, Slovenia 2000.
19) X.W. Sun, Q.M. Zhu, and A.G. Pipe, An Integrated acupuncture instrument system,
PREP2001,
20) X.Z. Sun, J.E.T. Penny, N.R. Fahmi, and Q.M. Zhu, A model based fuzzy logic fault
diagnosis for AC motor, 4th International Conference on Damage Assessment
of Structures, pp. 143-152, Cardiff, UK, 2001.
21) N.Liu, J.E.T.
Penny, C.Y. Wei, P.E. Irving, and Q.M. Zhu, Damage location detection for
composite materials using neural networks, 4th International Conference on
Damage Assessment of Structures, Proceedings pp. 395-408, Cardiff, UK, 2001.
22) Q.M. Zhu, A back propagation estimator
for non-linear rational models, CCC, Proceedings pp. 424-428, Dalian,
China, 2001.
23) Q.M. Zhu, X.W. Sun, and A.G. Pipe, A
fuzzy controller to overcome EA accommodation, IFAC Conference on New
Technologies for Computer Control, Proeedings pp.
493-498, Hong Kong, China, 2001.
24) F. Qiao, Q.M.
Zhu, S.Y. Li, and A. Winfield, Torsional
vibration suppression of a 2-Mass main drive system of rolling mill with KF
enhanced pole placement, 4th World Congress on Intelligent Control and
Automation, Shanghai, China, 2002.
25) Q. Wu, Y.J. Wang, Q.M. Zhu, K. Warwick, Neurofuzzy model based l_inf
predictive control of nonlinear CSTR system (invited), IEEE CSCAD, Glasgow,
UK, 2002.
26) F. Qiao, Q.M.
Zhu, and A. Winfield, An Improved Fuzzy
Dynamic Model Based State Estimator, Proceedings of CASIA Annual Conference
on Automation and Information Technology and the 8th. Annul Conference of
Chinese Automation and Computer Society in the UK, Beijing, China, pp. 1-6,
September 19-20, 2002.
27) L.Z. Guo, C. Melhuish,
and Q.M. Zhu, Towards neural adaptive
hovering control of helicopters (invited), IEEE CSCAD,
28) X.Zhang, G.Dragffy, A.G. Pipe, and Q.M. Zhu, Ontogenetic cellular
hardware for fault tolerant systems, The International Conference on
Embedded Systems and Applications, Proceedings pp. 144-150, Las Vegas, USA, 2003.
29) X.Zhang, G.Dragffy, A.G. Pipe, N. Gunton,
and Q.M. Zhu, A reconfigurable self-healing embryonic cell architecture,
The International Conference on Engineering of Reconfigurable Systems and
Algorithms, Proceedings pp. 134-140, Las Vegas, USA, 2003.
30) Q.M. Zhu, L.Z. Guo, Z.H. Guan, and T.
Yang, A neural network enhanced model matching controller for nonlinear
dynamic discrete-time plants (invited), 16th International Conference on
Systems Engineering, Proceedings, pp. 817-822, Coventry, UK, 2003.
31) F. Qiao, Q.M.
Zhu, A. Winfield, and C. Melhuish, A Novel Neuro-Fuzzy State Estimator For Nonlinear Systems,
Proceedings of the Postgraduate Research Conference in Electronics, Photonics,
Communications and Software (PREP), Exeter, England, pp. 224-225, April 14-16,
2003.
32) F. Qiao, Q.M.
Zhu, A. Winfield, and C. Melhuish, Fuzzy Tracking
Control for Discrete Time Nonlinear Systems (Honoured paper), Proceedings
of the 9th Chinese Automation and Computer Science Conference in the UK, Luton,
England, pp. (undecided), September, 2003.
33) Q.H. Zhang, Q.M. Zhu, M. Y. Fu, and J.
Bi, A revised dead reckoning algorithm to predict vehicle moving positions,
Proceedings of the 9th Chinese Automation and Computer Science Conference in
the UK, Luton, England, pp. (undecided), September, 2003.
34) S. Jin and Q.M. Zhu, Applying process
modelling concepts to modelling acupuncture channels, Workshop on Process
Modelling: Perspectives, Problems and Standardisation in the Support of
Organisational Processes, UWE, Bristol, 2003.
35) J. Goodwin, A. Winfield, and Q. Zhu, Towards
a Generic Architecture for Autonomous Landing Systems, Proc. Towards Intelligent Mobile Robotics (TIMR 03),
36) Q. M. Zhu and Q. Feng, A least squares estimator for nonlinear rational models, Proceedings of the 6th Asia-Pacific Conference on Control & Measurement, Chengdu, pp. 179-183, China, 2004.
Books
1) Q.M. Zhu,Three factors in the information era ---
neural networks, fuzzy logic systems, and artificial intelligence, Chapter,
2002 (Chinese).
2) Q.M. Zhu, L.Z. Guo, and Z. Ma, Neural network enhanced optimal self-tuning controller design for rotor dynamic systems (chapter), Global Optimisation, Kluwer Academic Publishers, in print, 2005.
Email: quan.zhu@uwe.ac.uk
Last Updated 24th September 2003