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Control systems, feedback, modeling, transfer function, time response, stability, root locus, Bode plot, Nyquist, compensators, state space, controllability
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Controllability and Observability, Pole Placement, Nonlinear Control Systems, Phase Plane Analysis, Lyapunov Stability, Optimal Control, Calculus of Variations, Dynamic Programming, Adaptive Control
State Space Representation
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Linear Control Systems (LCS)
This course provides a comprehensive introduction to the theory and …
Principles of Electronic Communication
  Communication Systems 🎯 Objectives Learn core concepts of communication …
Digital Signal Processing and Applications
Brief Description: This course provides a detailed understanding of Digital …
What you'll learn
Frequency Domain Processing: How to analyze and process signals using the Discrete Fourier Transform (DFT) and the Fast Fourier Transform (FFT).
IIR Digital Filters: The principles behind Infinite Impulse Response (IIR) filters, their characteristics, and how to design them effectively.
FIR Digital Filters: The fundamentals of Finite Impulse Response (FIR) filters, their properties, and practical design techniques.
DSP Architecture: A clear understanding of the TMS320LF2407 Digital Signal Processor architecture and its instruction set.
On-Chip Peripherals: How to work with key peripherals of the TMS320LF2407, including GPIO, interrupts, ADC, and Event Managers, and apply them in real-time DSP applications.
Hybrid Electrical Vehicles
Description: This course introduces the fundamentals of Hybrid Electric Vehicles …
Modern Control Theory (MCT)/ Advanced Control Systems (ACS)
This course offers an in-depth understanding of modern control theory, …
Modern Control Systems (MCT)/ Advanced Control Systems (ACS)
This course offers an in-depth understanding of modern control theory, …
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