The knowledge structure of master and doctoral candidates in this discipline mainly includes fundamental theories, professional subjects and Methodologies & tools.
(1) Fundamental Theories：
Applied functional analysis, nonlinear mathematics, matrix theories, engineering and scientific computing, stochastic process, mathematic and physical equation, applied statistics, optimization methods, electromagnetic field theory, hydrodynamics, knowledge of physics etc.
(2)Professional subjects:
linear control system, modern detection technologies and parameter estimation, system identification and control (bilingual), nonlinear information processing, multi-sensor data fusion, intelligent robot systems, autonomous robot perception and navigation, brain cognition and information processing, process tomography technology and applications, multiphase flow sensing technologies and fluid flow, computer control systems, complex network theories and their applications (bilingual), etc.
(3)Methodologies & tools:
Methodologies of academic research, international academic exchange methodologies (bilingual), integrated automation system design, technical English writing, international intellectual property law, modern information retrieval & analysis, patent specifications & information analysis,etc.
