ASIAN JOURNAL OF CONTROL

The Asian Journal of Control, an Asian Control Association (ACA) and Chinese Automatic Control Society (CACS) affiliated journal, is the first international journal originating from the Asia Pacific region. The Asian Journal of Control publishes papers on original theoretical and practical research and developments in the areas of control, involving all facets of control theory and its application.Published six times a year, the Journal aims to be a key platform for control communities throughout the world. The Journal provides a forum where control researchers and practitioners can exchange knowledge and experiences on the latest advances in the control areas, and plays an educational role for students and experienced researchers in other disciplines interested in this continually growing field. The scope of the journal is extensive. Topics include:The theory and design of control systems and components, encompassing:Robust and distributed control using geometric, optimal, stochastic and nonlinear methodsGame theory and state estimationAdaptive control, including neural networks, learning, parameter estimation and system fault detectionArtificial intelligence, fuzzy and expert systemsHierarchical and man-machine systemsAll parts of systems engineering which consider the reliability of components and systemsEmerging application areas, such as:-Robotics-Mechatronics-Computers for computer-aided design, manufacturing, and control of various industrial processes-Space vehicles and aircraft, ships, and traffic-Biomedical systems-National economies-Power systems-Agriculture-Natural resources

《亚洲控制杂志》是亚洲控制协会（ACA）和中国自动控制学会（CACS）的附属刊物，是第一本源自亚太地区的国际期刊。《亚洲控制杂志》发表了有关控制领域原始理论和实践研究和发展的论文，涉及控制理论的各个方面及其应用。该杂志一年出版六次，旨在成为全世界控制社区的关键平台。该杂志提供了一个论坛，控制研究人员和从业者可以就控制领域的最新进展交流知识和经验，并为对这一不断增长的领域感兴趣的其他学科的学生和经验丰富的研究人员发挥教育作用。这本杂志的范围很广。主题包括：控制系统和部件的理论和设计，包括：采用几何、最优、随机和非线性方法的鲁棒分布式控制博弈论与状态估计自适应控制，包括神经网络、学习、参数估计和系统故障检测人工智能、模糊和专家系统分层和人机系统考虑部件和系统可靠性的系统工程的所有部分新兴应用领域，如：-机器人学-机电一体化-计算机辅助设计、制造和控制各种工业过程的计算机-航天器、飞机、船舶和交通-生物医学系统-国民经济-电力系统-农业-自然资源