控制學門概況
「控制工程學門」是工程處目前19個學門中的一個學門,主要在於協助國科會工程處,積極推動控制工程相關研究發展之規劃與各項業務,主要目的為推動國內一般研究計畫,及產學合作研究計畫,整合培養堅強之研發團隊,厚植國家工業實力,且提升國家學術地位。控制工程學門共包含以下七個研究分項:
本學門現任召集人為國立中央大學電機工程學系 李柏磊教授,下設有三個委員會,由學門召集人負責邀請,
工程處同意後之相關專長教授或業界專家擔任委員
Introduction to the Control Engineering Group of Engineering Division, National Science and Technology Council
The 'Control Engineering Group' is one of the research group under the Engineering Division of National Science and Technology Council (NSTC), Taiwan. Its main purpose is to assist the Engineering Division of the NSTC in promoting the planning and various tasks related to the development of control engineering researches. The primary goal is to promote general research projects and industry-academia collaborative research projects in the country, integrate and cultivate strong research and development teams, strengthen the national industrial capabilities, and enhance the nation's academic status. The Control Engineering Group comprises the following seven research subfields:
1. Control and Decision Theory: Innovations and breakthroughs in fundamental control theories, from rigorous mathematical theory to various advanced control theories and applications, including Quantum Control, Switched Systems, Sliding Mode Control, Descriptor Systems, Time-Delay Systems, Iterative Learning Control, Resilient Control Systems, Event-triggered Control, Energy Function Construction, and Control Applications, Data-Driven Control, Estimator and Filter Design, Robust Control, State Constraints Control, and Decision Theory (algorithms for financial engineering, SLAM, pedestrian trajectory prediction, GPS localization, sound source localization, etc.).
2. Artificial Intelligence in Control and Applications: Artificial intelligence has become a focus of research in the control field worldwide. This subfield combines artificial intelligence algorithms with control theory to address control problems in various systems. Research areas include: (1) Fuzzy Control System Design and Applications, (2) Neural Network Control, (3) Intelligent Control Learning Algorithms, (4) Applications of Artificial Intelligence in Smart Manufacturing and Industrial Internet of Things, (5) Smart Network Control System Applications, and IoT Information Security, and (6) Smart Mechatronics Control.
3. System Integration and Industrial Application: Research in system integration and industrial applications aims to integrate different technologies and processes to achieve efficiency, automation, and intelligence in various industries. It commonly involves control, artificial intelligence, big data, the Internet of Things, optimization algorithms, measurement instruments, sensors, and communication technologies. Research areas include: (1) Precision Dynamic Control, (2) Smart IoT and Systems, (3) Smart Manufacturing Systems and Applications, (4) System Monitoring and Diagnosis, and (5) Visual Servo and Control Technologies.
4. Intelligent Healthcare and Systems Biology Control: Research in this subfield covers three main directions: wearable medical care systems, systems biology, and control technologies for consumer goods. Topics include: (1) Advanced Wearable Physiological Measurement Device Development (Application of Artificial Intelligence and Neural Feedback, Predictive Analysis and Assistive Diagnosis of Clinical Neurological Diseases, Standardization and Integration of Medical Information Systems, Data Privacy and Security, User Experience, and Acceptance Verification Methods), (2) Systems Biology in Precision Medicine (Computational Systems Biology, Data Integration and Interpretation in Precision Medicine, Systematic Interpretation of Disease Mechanisms, Network Model Development in Computational Systems Biology, and Applications of AI in Healthcare and Preventive Medicine), as well as (3) Control Technologies for New Types of Consumer Goods for Sub-Healthy Populations.
5. Intelligent Robots: With the global shortage of labor, aging populations, and low-wage tolerance, the demand for robots in various fields, from industry to healthcare, service, education, and the military, continues to rise. Advancements in artificial intelligence have accelerated the development of robots, making them more capable of environmental perception, computer vision, autonomy, and intelligence, thus contributing to more convenient, efficient, and safe living and working environments. Research areas include: (1) Robot Sensing Systems and Human-Machine Interaction, (2) Specialized Robot Applications (hotel and restaurant service robots, rescue and epidemic prevention robots, companion and pet robots), (3) Industrial Robots (industrial robot applications, robot automation technology, virtual and real integration, human-machine collaborative operation, energy-efficient and carbon reduction optimization technology), (4) Medical and Mobile Assistive Robots (rehabilitation and mobile assistive robots, surgical robots, physiologically controlled robots), (5) Special Structure Robots (bio-inspired robots, composite robots, humanoid robots, group robots, rotorcraft robots), and (6) Cloud-based Resource Sharing and Management for Robots (cloud-based robot learning systems, cloud resource management optimization mechanisms).
6. Intelligent Light Mobility: Unmanned vehicles include automated land, sea, and air vehicles. Research areas encompass: (1) Land Vehicles (unmanned self-driving vehicles, pseudo linked vehicle fleets, unmanned buses, electric-assisted bicycles, electric wheelchairs, smart electric motorcycles, core technologies of ADAS, identification and sensing technologies, service robots, security robots, wearable vehicles, medical and rehabilitation vehicles, AGVs, agricultural machinery, wireless power transmission for vehicle use), (2) Sea Vehicles (autonomous underwater vehicles AUVs, bio-inspired mechanical fish-type vehicles, underwater fuel cell-driven vehicle design and applications), (3) Air Vehicles (multi-rotor unmanned aerial vehicles and applications, agricultural flight vehicles, transportation and logistics flight vehicles, large electric aircraft and airships, rocket-powered space application vehicles), (4) Multipurpose Vehicle Development (amphibious vehicles, land, sea, and air vehicles), and (5) Vehicle Core Support Technologies (high-efficiency motor design, power electronics technology related to motor drives, battery and energy-related safety control).
7. Sustainable and Net-Zero Control: The reduction of carbon footprint through automatic control technology, planning for carbon capture, reuse and storage systems, and the development of emerging energy and sustainable resource recycling control are essential. Additionally, the environmental-friendly features of electric vehicles make them an important source of green energy transportation. Therefore, the development of electric vehicle power control and smart energy-saving systems is also a crucial research topic. Research areas include Renewable Energy Control, Advanced Energy Storage Systems, Carbon Capture and Storage, Emerging Energy and Sustainable Resource Recycling Control, Green Energy Transportation with Electric Vehicles, and Energy-saving Technologies.