Résumé:
This lecture notes offers a detailed exploration of control systems, focusing on both
frequency-domain methods and state-space representations. Designed to equip students
and engineers with the knowledge and tools needed for system analysis and design, the
material covers key topics essential for mastering control systems. The frequency-domain
section introduces controller design techniques using Bode plots, Nyquist plots, and root
locus methods to ensure stability and optimize performance.
State-space representation is presented as a versatile framework, particularly suited for
analyzing and modeling complex MIMO systems. System analysis in state-space is explored
through concepts such as controllability, observability, stability, and response, providing a
deeper understanding of dynamic behavior. State feedback control techniques are discussed
to enable precise pole placement for improved stability and performance. Finally, the design
of state observers, including Luenberger observers and Kalman filters, is examined to
facilitate accurate state estimation in scenarios with unmeasured variables. This lecture
notes bridges theoretical principles with practical applications, offering a comprehensive
guide for analyzing, controlling, and optimizing dynamic systems in fields like automation,
robotics, and control engineering.
