Linear Matrix Inequality Methods in Optimal & Robust Control | MAE 509

Matthew M. Peet

Explore advanced LMI techniques for optimal and robust control system design. Hands-on examples and insights into computational aspects.

University CoursesRobotics

Introduction

This course provides an in-depth exploration of Linear Matrix Inequality (LMI) methods in optimal and robust control. It covers the theoretical foundations and practical applications of LMIs in various control system design and analysis problems.

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Highlights

  • Comprehensive coverage of LMI techniques for optimal and robust control
  • Hands-on examples and case studies to illustrate the application of LMIs
  • Insights into the numerical and computational aspects of LMI-based control design
  • Emphasis on the versatility of LMI methods in addressing a wide range of control challenges

Recommendation

This course is highly recommended for control engineers, researchers, and students interested in advanced control theory and its practical applications. It provides a solid foundation in LMI methods and equips learners with the necessary tools to tackle complex control system design problems.

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