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- F. H. Frank Leung, Hak-Keung Lam, Sai-Ho Ling, Peter Kwong-Shun Tam
- IEEE Trans. Neural Networks
- 2003

This paper presents the tuning of the structure and parameters of a neural network using an improved genetic algorithm (GA). It is also shown that the improved GA performs better than the standard GA based on some benchmark test functions. A neural network with switches introduced to its links is proposed. By doing this, the proposed neural network can… (More)

- Hak-Keung Lam, F. H. Frank Leung, Peter Kwong-Shun Tam
- IEEE Trans. Fuzzy Systems
- 2001

This paper presents the stability analysis of a fuzzymodel-based control system consisting of a nonlinear plant and a nonlinear state feedback controller and the design of the nonlinear gains of the controller. The nonlinear plant is represented by a fuzzy model having rules. A nonlinear state feedback controller is designed to close the feedback loop.… (More)

- Raymond K. K. Yip, Peter Kwong-Shun Tam, Dennis N. K. Leung
- Pattern Recognition
- 1992

- C. H. Li, Peter Kwong-Shun Tam
- Pattern Recognition Letters
- 1998

A fast iterative method is derived for minimum cross entropy thresholding using a one-point iteration scheme. Simulations performed using synthetic generated histograms and a real image show the speed advantage and the accuracy of the iterated version. q 1998 Elsevier Science B.V. All rights reserved.

- Lik-Kin Wong, F. H. Frank Leung, Peter Kwong-Shun Tam
- IEEE Trans. Industrial Electronics
- 2001

It is well known that sliding-mode control can give good transient performance and system robustness. However, the presence of chattering may introduce problems to the actuators. Many chattering elimination methods use a finite dc gain controller which leads to a finite steady-state error. One method to ensure zero steady-state error is using a proportional… (More)

- Hak-Keung Lam, F. H. Frank Leung, Peter Kwong-Shun Tam
- IEEE Trans. Systems, Man, and Cybernetics, Part A
- 2000

This paper presents the stability and robustness analysis for multivariable fuzzy control systems subject to parameter uncertainties based on a single-grid-point (SGP) approach. To perform the analysis, we represent a multivariable nonlinear system using a TS-fuzzy plant model. Three design approaches of fuzzy controllers are introduced to close the… (More)

- Sai-Ho Ling, F. H. Frank Leung, Hak-Keung Lam, Peter Kwong-Shun Tam
- IEEE Trans. Industrial Electronics
- 2003

- Charlotte Yuk-Fan Ho, Bingo Wing-Kuen Ling, Peter Kwong-Shun Tam
- IEEE Trans. on Circuits and Systems
- 2008

In this paper, a theory of optimaf nonlinear estimation from sampIed data signals where the a posterion probability densities are approximated by Gaussian sums is adapted for application to phase and frequency estimation in high noise. The nonlinear estimators (demodulators) require parallel processing of the received signsf. In the limit as the number of… (More)

- Raymond K. K. Yip, Peter Kwong-Shun Tam, Dennis N. K. Leung
- Pattern Recognition
- 1995