Simulation Environments: Visual Intelligence

Related lectures (30)

Page 1 of 3

Explores simulation of common structures and control of dynamic systems through friction and elasticity constants.

Explores compensation of transmission delays in remote-control settings to ensure stability in networked control systems.

Covers LabVIEW basics, error handling, data types, waveform display, and data acquisition.

Explores learning and control for complex systems, addressing challenges and opportunities in technology and interdisciplinary research.

Covers fault simulation, testability analysis, and fault list generation in VLSI systems.

Covers the structure theorem for state-space representations and companion forms.

Explores state-space representation, controllability, observability, and regulator calculation using the Ackermann method.

Covers stability, poles, zeros, and control in dynamic systems, emphasizing the importance of observability.

Covers the basics of state-space representation and explores transformations to different forms.

Covers the computation of tracking performance and transfer functions in digital control systems.