
Formal Methods for Control of Nonlinear Systems
Description
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While linear control is a well-established subject, analysis and design of nonlinear control systems remains a challenging topic due to some of the fundamental difficulties caused by nonlinearity. Formal Methods for Control of Nonlinear Systems provides a unified computational approach to analysis and design of nonlinear systems.
Features
Constructive approach to nonlinear control.
Rigorous specifications and validated computation.
Suitable for graduate students and researchers who are interested in learning how formal methods and validated computation can be combined together to tackle nonlinear control problems with complex specifications from an algorithmic perspective.
Combines mathematical rigor with practical applications.
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Persons
Yinan Li is a senior autonomy developer at OTTO Motors-the industrial division of Clearpath Robotics- in Kitchener, Ontario, Canada. She works on navigation algorithms for industrial mobile robots, multi-robot traffic control and coordination. Before joining OTTO Motors, she was a post-doctoral fellow at Hybrid Systems Laboratory, shortly after she received her Ph.D. degree in applied mathematics from University of Waterloo in 2019. Her Ph.D. and post-doctoral research focused on formal control methods for nonlinear systems, and joint research with Georgia Institute of Technology and Clearpath Robotics were about applications of formal control methods in humanoid and mobile robots. She was awarded the 2020 Huawei prize for best research paper for her research in this area.
Content
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