JHJi Huang
Ji Huang
*This is an algorithmically generated author record based on publicly available information.
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Ji Huang has a total of 3 co-authors. Here are the top co-authors by number of shared publications:
- Yang Shi
University of Victoria
2 shared publications - Haining Huang
Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China
1 shared publication - Zheng Li
Institute of Acoustics, Chinese Academy of Sciences, No. 21, North 4th Ring Road, Beijing 100190, China
1 shared publication
Latest Publications
- 21 May 2013
- Published by ASME International in Journal of Dynamic Systems, Measurement, and Control
- Vol. 135 (4) , 041012
H∞ State-Feedback Control for Semi-Markov Jump Linear Systems With Time-Varying Delays
Semi-Markov jump linear systems (S-MJLSs) are more general than Markov jump linear systems in modeling practical systems. This paper investigates the control problem for a class of semi-Markov jump linear systems with time-varying delays. The sojourn-time partition technique is firstly proposed for the delayed stochastic switching system. A sufficient condition for designing the state feedback controller is then established. Moreover, the sufficient condition is expressed as a set of linear matrix inequalities which can be readily solved. A numerical example illustrates the effectiveness of the proposed controller design technique.- 21 May 2013
- Published by ASME International in Journal of Dynamic Systems, Measurement, and Control
- Vol. 135 (4) , 041012
H∞ State-Feedback Control for Semi-Markov Jump Linear Systems With Time-Varying Delays
Semi-Markov jump linear systems (S-MJLSs) are more general than Markov jump linear systems in modeling practical systems. This paper investigates the control problem for a class of semi-Markov jump linear systems with time-varying delays. The sojourn-time partition technique is firstly proposed for the delayed stochastic switching system. A sufficient condition for designing the state feedback controller is then established. Moreover, the sufficient condition is expressed as a set of linear matrix inequalities which can be readily solved. A numerical example illustrates the effectiveness of the proposed controller design technique.- 31 August 2012
- Published by Elsevier in Digital Signal Processing
- Vol. 23 (1) , 418-426
filtering for multirate nonlinear sampled-data systems using T-S fuzzy models
- 31 August 2012
- Published by Elsevier in Digital Signal Processing
- Vol. 23 (1) , 418-426
filtering for multirate nonlinear sampled-data systems using T-S fuzzy models