Supported by National Basic Research Program of China(973 Program)(2002CB312200);National Natural Science Foundation of China(60474045)
This paper aims to design a controller to robustly stabilize uncertain Takagi-Sugeno fuzzy systems with time- varying input delay.Based on Lyapunov-Krasovskii functional approach,the sufficient conditions for robust s...
Supported by the Special Funds for Major State Basic Research Program of China (973 Program,No.2002CB312200);the Na-tional Natural Science Foundation of China (No.60574019,No.60474045);the Key Technologies R&D Program of Zhejiang Province (No.2005C21087);the Academician Foundation of Zhejiang Province (No.2005A1001-13).
This study describes a classification methodology based on support vector machines(SVMs),which offer superior classification performance for fault diagnosis in chemical process engineering.The method incorporates an e...
Supported by National Natural Science Foundation of P.R.China (60474045)973 Program of P.R.China (2002CB312200)the project sponsored by the Scientific Research Foundation for the Returned Overseas Chinese Scholars of State Education Ministry, Zhejiang Province, and Zhejiang University
Systems that are subject to both time-delay in state and input saturation are considered. We synthesize the anti-windup gain to enlarge the estimation of domain of attraction while guaranteeing the stability of the cl...
partly supported by the National Natural Science Foundation of China (No.60574019 and 60474045);the National Basic Research Program(973 Program)of China(No.2002CB312200);the Key Technologies R&D Program of Zhejiang Province (No.2005C21087);the Academician Foundation of Zhejiang Province(No.2005A1001-13);the Center for Bioinformatics Program Grant of Harvard Center of Neurodegeneration and Repair,Harvard Medical School,Boston,USA.
In this study, we present a constructive algorithm for training cooperative support vector machine ensembles (CSVMEs). CSVME combines ensemble architecture design with cooperative training for individual SVMs in ens...