CACS 2018 - 2018 International Automatic Control Conference

The 2018 International Automatic Control Conference (CACS 2018) is an international conference hosted by the Chinese Automatic Control Society and National Central University, Taiwan. This four-day conference will take place in South Garden Hotels and Resorts, Taoyuan, Taiwan, over Nov. 4 ~ 7, 2018, and present more than 200 papers submitted worldwide. This event will provide a great opportunity for scientists, engineers, and practitioners to present the latest design concepts, research results, developments, and applications, as well as to facilitate interactions between scholars and practitioners. Submission of papers with new research results in all aspects of control and automation are encouraged. To broaden the scope and promote participations, organized sessions will also be welcome and incorporated into the CACS 2018 program. Best paper awards will be given to those with outstanding achievements. Topics of interest include, but are not limited to:
- Linear Systems and Control
- Computational Intelligence
- Robust Control
- Control ICs and Applications
- Emerging Technology
- Modeling and Simulations
- Nonlinear Systems and Control
- Autonomous/Intelligent Robots
- Digital/Sampled-Data Control
- Industrial Applications
- DNA Computing
- Quantum Control and Computing
- Iterative Learning Control
- Smart Material Actuator & Control
- Networked Control Systems
- Mechatronic Systems
- Discrete-Event Systems
- Chaotic Systems and Control
- Intelligent Control
- Neural Networks
- Machine Vision and Visual Servoing
- Servo Control
- Identification and Estimation
- Variable Structure Control
- Fuzzy Systems and Control
- Machine Learning and Control
- Predictive Control
- Adaptive and Optimal Control
- Guidance, Navigation, and Control
- Signal Processing and Control
- Micro/Nano Systems
- Systems Biology
- Hybrid Systems and Control
- Stochastic Systems and Control
- Power Electronics and Control
- Remote and Supervisory Control
- Vehicle Telematics and Control
- Robotics System and Control