Chang-Sheng Jiang

According to our database1, Chang-Sheng Jiang authored at least 15 papers between 2004 and 2017.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2017
Fuzzy terminal sliding-mode control for hypersonic vehicles.
J. Intell. Fuzzy Syst., 2017

2015
Robust adaptive fuzzy control design for nearspace vehicle.
J. Intell. Fuzzy Syst., 2015

Anti-disturbance control of hypersonic flight vehicles with input saturation using disturbance observer.
Sci. China Inf. Sci., 2015

2014
Guaranteed transient performance based control with input saturation for near space vehicles.
Sci. China Inf. Sci., 2014

2013
Robust control of near-space vehicles with input backlash-like hysteresis.
J. Syst. Control. Eng., 2013

2010
Robust control for a class of time-delay uncertain nonlinear systems based on sliding mode observer.
Neural Comput. Appl., 2010

The velocity structure of the hypocenter area of 2003 <i>M</i>6.2 and <i>M</i>6.1 Dayao earthquake.
Concurr. Comput. Pract. Exp., 2010

Simulation on seismogenic environment of strong earthquakes in Sichuan-Yunnan region, China.
Concurr. Comput. Pract. Exp., 2010

SMDO-based NGPC control for uncertain nonlinear systems.
Proceedings of the 10th IFAC International Workshop on the Adaptation and Learning in Control and Signal Processing, 2010

2008
Sensor fault diagnosis for a class of time delay uncertain nonlinear systems using neural network.
Int. J. Autom. Comput., 2008

Design of H<sub>∞</sub> synchronization controller for uncertain chaotic systems with neural network.
Int. J. Autom. Control., 2008

A modified ant optimization algorithm for path planning of UCAV.
Appl. Soft Comput., 2008

2007
Maintaining Synchronization by Decentralized Feedback Control in Time Delay Neural Networks with Parameter Uncertainties.
Int. J. Neural Syst., 2007

Backstepping Control of Uncertain Time Delay Systems Based on Neural Network.
Proceedings of the Advances in Neural Networks, 2007

2004
The application of compensatory fuzzy neural network in plastics thickness control system.
Proceedings of the 8th International Conference on Control, 2004


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