Courtesy: CCDC
Controls Research Activities
Activities & faculty include but are not limited to:
- Control, Optimization and Game Theory
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The theory of optimal design and operation of systems, including those with strategic interaction among multiple agents. — Faculty
- Networked and Cyber-Physical Systems
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The theory of operating networked systems in which physical, cyber, and human components are intertwined, e.g., transportation networks — Faculty
- Robotics and Autonomous Systems
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Sensing, planning, and control for autonomous robotic platforms. — Faculty
- AI for Decision Making, Autonomy and Robotics
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AI-driven planning, control, and learning for autonomous and robotic systems. — Faculty
- Theoretical Foundations of AI
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Mathematical principles underlying learning, optimization, generalization, and decision-making in AI systems. — Faculty
- Trustworthy and Robust AI
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AI methods with guarantees for safety, robustness, fairness, and reliability. — Faculty
Controls Research Overview
Control systems research studies how to manipulate the parameters affecting the behavior of a system to produce a desired or optimal outcome. The tools that form the body of knowledge, known as control theory, are applicable to a wide variety of systems, including electrical, mechanical, chemical, biological, economic, and social systems.
UCSB is a world-renowned leader in control systems engineering, with a large number of highly recognized control faculty engaged in very high-impact research. Control systems research at UCSB is coordinated through the multi-disciplinary Center for Control, Dynamical Systems, and Computation (CCDC). Currently, the Center consists of faculty and graduate students from the departments of Electrical and Computer Engineering, Mechanical Engineering, Chemical Engineering, Computer Science, and Mathematics.
For more detailed descriptions of faculty research and activities, please visit the Controls Research Activities accordions in the box.
