Course Objective:
State-space methods of feedback control system design and design optimization for invariant and time-varying deterministic, continuous systems; pole positioning, observability, controllability, modal control, observer design, the theory of optimal processes and Pontryagin's Maximum principle, the linear quadratic optimal regulator problem, Lyapunov functions and stability theorems, linear optimal open loop control; introduction to the calculus of variations; introduction to the control of distributed parameter systems. Intended for engineers with a variety of backgrounds. Examples will be drawn from mechanical, electrical and chemical engineering applications. MAPLE and MATLAB are used extensively during the course for the analysis, design and simulation.

Instructors:
Eugenio Schuster, Room 454, Packard Lab, 610-758-5253, schuster@lehigh.edu

More Info:
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