Stability analysis of fuzzy control systems subject to uncertain grades of membership

Author name used in this publication: F. H. F. LeungCentre for Multimedia Signal Processing, Department of Electronic and Information Engineering2005-2006 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

Fuzzy combination of fuzzy and switching state-feedback controllers for nonlinear systems subject to parameter uncertainties

Centre for Multimedia Signal Processing, Department of Electronic and Information Engineering2004-2005 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

Real-coded genetic algorithm with average-bound crossover and wavelet mutation for network parameters learning

Author name used in this publication: F. H. F. Leung"Centre for Multimedia Signal Processing, Department of Electronic and Information Engineering"Refereed conference paper2005-2006 > Academic research: refereed > Refereed conference paperVersion of RecordPublishe

LMI-based stability and performance conditions for continuous-time nonlinear systems in Takagi-Sugeno's form

Centre for Multimedia Signal Processing, Department of Electronic and Information Engineering2007-2008 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

Design and stabilization of sampled-data neural-network-based control systems

Author name used in this publication: F. H. F. Leung"Centre for Multimedia Signal Processing, Department of Electronic and Information Engineering"Refereed conference paper2005-2006 > Academic research: refereed > Refereed conference paperVersion of RecordPublishe

An improved genetic algorithm with average-bound crossover and wavelet mutation operations

This paper presents a real-coded genetic algorithm (RCGA) with new genetic operations (crossover and mutation). They are called the average-bound crossover and wavelet mutation. By introducing the proposed genetic operations, both the solution quality and stability are better than the RCGA with conventional genetic operations. A suite of benchmark test functions are used to evaluate the performance of the proposed algorithm. Application examples on economic load dispatch and tuning an associative-memory neural network are used to show the performance of the proposed RCGA. © Springer-Verlag 2006

LMI relaxed stability conditions for fuzzy-model-based control systems

Author name used in this publication: F. H. F. LeungCentre for Multimedia Signal Processing, Department of Electronic and Information EngineeringRefereed conference paper2006-2007 > Academic research: refereed > Refereed conference paperVersion of RecordPublishe

Digit and command interpretation for electronic book using neural network and genetic algorithm

Centre for Multimedia Signal Processing, Department of Electronic and Information Engineering2004-2005 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe