This course will present students with classical and advanced results in adaptive control theory. Motivating problems and numerical examples will be primarily drawn from aerospace applications. The scope of this course is to provide students with knowledge of the state of the art in adaptive control theory, strong competencies to implement adaptive control systems in problems of practical interest, such as the design of control systems for autonomous aerial vehicles, and a sufficiently strong background to enable self-study and independent research in this area.

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Guest lecture Andrea L'Affitto Virginia Tech Work Experiencein Academia Associate Professor. Department of Industrial and Systems Engineering, Virginia Tech. June, 2022 – Present Affiliate Professor. Department of Aerospace and Ocean Engineering, Virginia Tech. December, 2022 – Present Affiliate Professor. National Security Institute. August, 2022 – Present Affiliate Professor. Department of Mechanical Engineering, Virginia Tech. March, 2020 – Present Research in robust adaptive control, hybrid and infinite-dimensional systems, optimal control, robotics, and autonomy. Applications: Design of autopilots for aerial and ground robots Elements of Nonlinear Systems Theory (Lyapunov stability, asymptotic stability, boundedness, and ultimate boundedness, and related sufficient conditions) Continuous-time model reference adaptive control Discrete-time model reference adaptive control Robustifications of continuous-time model reference adaptive control (dead-zone, sigma-, and e-modification, and continuous projprojection operator) Two-layer model reference adaptive control Adaptive error bounding control Adaptive control in the presence of constraints

In presenza

Presentazione report scritto

P.D.2-2 - Maggio

17-27 Maggio 2025