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Lecture
StateSpace Controllability
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Related lectures (32)
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Multivariable Control: Eigenvalue Assignment and Ackermann's Formula
Explores control problems, eigenvalue assignment, and canonical controllability form for single-input systems.
Stability: Poles, Zeros, and Control
Covers stability, poles, zeros, and control in dynamic systems, emphasizing the importance of observability.
Built-In Self-Test (BIST): Techniques and Implementations
Explores Built-In Self-Test (BIST) techniques in VLSI systems, covering benefits, drawbacks, implementation details, and the use of Linear Feedback Shift Registers (LFSRs) for test pattern generation.
Eigenvalue Assignment in Multivariable Control
Explores Eigenvalue Assignment in multivariable control, emphasizing the effects of discretization and the challenges in preserving system structure.
Exact and Approximate Sampling in Multivariable Control
Explores exact and approximate sampling in multivariable control systems, discussing stability, eigenvalues, and system properties.
StateSpace Pole Locations
Discusses selecting pole locations in state-space control systems to meet time-domain specifications and minimize control effort.
Control Theory Fundamentals
Covers the basic concepts of control theory and the selection of optimal controls.
Observability and Duality
Delves into the observability of LTI systems, covering controllability, duality, and observability tests.
Multivariable Control: Weight Design and Stability Analysis
Explores weight design and stability analysis in multivariable control systems, emphasizing Lyapunov theory and LQR stability.
Markov Decision Processes: Foundations of Reinforcement Learning
Covers Markov Decision Processes, their structure, and their role in reinforcement learning.
