Controlling mobile robots (e.g., differential drive, omnidirectional, or Ackermann-steering robots) using PID and state-space techniques in MATLAB involves modeling the robot dynamics, designing controllers, and simulating the closed-loop system.…
Implementing neural network (NN)-based fault detection in power systems involves leveraging machine learning to identify anomalies (e.g., short circuits, line faults, equipment failures) from sensor data like…
To design and evaluate an Orthogonal Frequency Division Multiplexing (OFDM) system in MATLAB, follow these steps: 1. OFDM System Design Key Parameters matlab Copy N…
Here’s a step-by-step guide to simulate and compare the performance of BPSK, QPSK, and QAM modulation schemes in MATLAB, including BER (Bit Error Rate) analysis: 1. Key Parameters Setup…
Here’s a step-by-step guide to designing and simulating active filters (low-pass, high-pass, band-pass) in MATLAB, including frequency response analysis and time-domain signal filtering: 1. Active Filter Design…
To simulate a MIMO spatial multiplexing system using MATLAB, follow these steps. This example uses a 2×2 MIMO system with QPSK modulation and Zero Forcing…
Here’s a step-by-step guide to simulating convolutional codes and LDPC codes in MATLAB, including encoding, modulation, AWGN channel, decoding, and BER calculation. Part 1: Convolutional Codes Convolutional codes use…
Analyzing circuits using MATLAB Simulink involves modeling electrical components, simulating their behavior, and analyzing results. Below is a step-by-step guide to simulate and analyze circuits…
To model a photovoltaic (PV) system and implement Maximum Power Point Tracking (MPPT) using MATLAB, follow these structured steps: 1. PV Cell Modeling Mathematical Model:…
To perform a transient response analysis of an RLC circuit using MATLAB, follow these steps: 1. Define the RLC Circuit Parameters Choose the resistance (R), inductance…