Intelligent Control Systems
Overview
Control systems are a key enabling technology for the increase in functionality and safety of many critical applications such as transportation systems, manufacturing systems, medical devices, and networked embedded systems. The design of today's complex control systems is challenging since it requires a strong foundation in several disciplines including electrical, chemical, mechanical and aerospace engineering, as well as biology, computer science, and economics.
Research
With its traditional base of supporting statewide industry, it's not surprising that OSU has a strong interdisciplinary program in control systems engineering. Emphasizing neural networks and fuzzy logic, research programs are closely associated with a Master of Science in Control Systems Engineering degree program. Collaborations in the program are with Chemical Engineering, Industrial Engineering and Management, and Mechanical and Aerospace Engineering. Current research projects focus on predicting impending failures in complex interrelated structures, using assessment tools, and using emerging neural network and fuzzy logic technology. Additional work involves neural network based intelligent controllers capable of self-optimization, on-line adaptation, and autonomous fault detection and controller reconfiguration.
- Courses
- Intelligent Control
- Control of Hybrid Systems
- Adaptive Control
- Digital Control
- Nonlinear Aystems Analysis and Control
- Optimal Control
- Systems Theory
- Neural Networks
- System Identification
- Estimation Theory
- Optimization Applications
- Research Labs
CEAT Interdisciplinary controls group
The Master of Science in Control Systems Engineering program
Intelligent Systems and Control Laboratory
Laboratory for Advanced Sensing Computation and Control