Fu-Chuang Chen

According to our database, Fu-Chuang Chen authored at least 13 papers between 1993 and 2011.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2011

Rate-distortion optimization of H.264/AVC rate control with novel distortion prediction equation.

Fu-Chuang Chen, Yi-Pin Hsu

IEEE Trans. Consumer Electron., 2011

A Novel Variance-Based Intra-Frame Rate Control Algorithm for H.264/AVC.

Fu-Chuang Chen, Yi-Pin Hsu

Inf. Technol. Control., 2011

2009

Analytical Settling Noise Models of Single-Loop Sigma-Delta ADCs.

Fu-Chuang Chen, Chun-Chieh Huang

IEEE Trans. Circuits Syst. II Express Briefs, 2009

Modeling Harmonic Distortions Caused by Nonlinear Op-Amp DC Gain for Switched-Capacitor Sigma-Delta Modulators.

Fu-Chuang Chen, Chih-Lung Hsieh

IEEE Trans. Circuits Syst. II Express Briefs, 2009

2001

Optimal minimal-order least-squares estimators via the general two-stage Kalman filter.

Chien-Shu Hsieh, Fu-Chuang Chen

IEEE Trans. Autom. Control., 2001

2000

General two-stage Kalman filters.

Chien-Shu Hsieh, Fu-Chuang Chen

IEEE Trans. Autom. Control., 2000

Optimal multistage Kalman estimators.

Fu-Chuang Chen, Chien-Shu Hsieh

IEEE Trans. Autom. Control., 2000

Modified stochastic Luenberger observers.

Chien-Shu Hsieh, Fu-Chuang Chen

Autom., 2000

1999

Optimal solution of the two-stage Kalman estimator.

Chien-Shu Hsieh, Fu-Chuang Chen

IEEE Trans. Autom. Control., 1999

1996

Practical stability issues in CMAC neural network control systems.

Fu-Chuang Chen, Chih-Horng Chang

IEEE Trans. Control. Syst. Technol., 1996

1995

Adaptive control of a class of nonlinear discrete-time systems using neural networks.

Fu-Chuang Chen, Hassan K. Khalil

IEEE Trans. Autom. Control., 1995

1994

Adaptively controlling nonlinear continuous-time systems using multilayer neural networks.

Fu-Chuang Chen, Chen-Chung Liu

IEEE Trans. Autom. Control., 1994

1993

On the learning and convergence of the radial basis networks.

Fu-Chuang Chen, Mao-Hsing Lin

Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993