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فیلم یادگیری سیستم های کنترل ویژه مهندسان : اتومبیل های خودران

دانلود Udemy Applied Control Systems for Engineers 1 – autonomous vehicle

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عنوان اصلی : Applied Control Systems for Engineers 1 - autonomous vehicle

این مجموعه آموزش ویدیویی محصول موسسه آموزشی Udemy است که بر روی 2 حلقه دیسک ارائه شده و به مدت زمان 14 ساعت و 19 دقیقه در اختیار علاقه مندان قرار می گیرد.

در ادامه با برخی از سرفصل های درسی این مجموعه آموزش آشنا می شویم :


Intro to Control - PID controller :
Course guide
Intro to Control - how to control systems with a controller 1
Intro to Control - how to control systems with a controller 2
Open VS Closed Loop System
Controlling the water tank in a Python simulation
Intro to a proportional controller
Modelling the water tank 1
Modelling the water tank 2
Numerical integration applied to the water tank model
Combining math with the control structure
Water tank simulation - proportional controller
Intro to a PID simulation
Follow up!
PID: Modelling the train with forces 1
PID: Modelling the train with forces 2
PID: Going from system input to system output using numerical integration
PID: Magnetic train simulation - proportional controller
PID: Proportional controller overshoot explanation 1
PID: Proportional controller overshoot explanation 2
PID: Proportional controller overshoot explanation 3
PID: Intro to Derivative Control
PID: Tuning the controller
PID: Proportional & Derivative controller & magnetic train simulation in Python
PID: Intro to Integral Control
PID: Python magnetic train simulation at an inclination angle
PID: Mathematical modelling of the train with the inclination angle 1
PID: Mathematical modelling of the train with the inclination angle 2
PID: Proportional, Derivative, Integral Control combined
PID: extra component in the controller to deal with small number division
PID: Magnetic train simulation (inclination angle & PID)
PID: Quick code & animation explanation (PID train)
Codes for the P & PID controllers (Python 3, Numpy & Matplotlib needed)

Fundamentals of forces, moments, mass moment of inertia and reference frames :
PID VS Model Predictive Control (MPC) 1
Intro to MPC
Getting started with modelling a car 1
Getting started with modelling a car 2
Fundamentals of forces and moments 1
Fundamentals of forces and moments 2
Fundamentals of forces and moments 3
Setting stage for the car's lateral control 1
Setting stage for the car's lateral control 2
PID VS Model Predictive Control (MPC) 2
Setting stage for the car's lateral control 3
Setting stage for the car's lateral control 4
Moment calculation exercise
2 questions

Vehicle modelling for lateral control using equations of motion :
Follow up!
The general control structure for the vehicle's lateral control
Car model VS simplified bicycle model 1
Car model VS simplified bicycle model 2
Car model VS simplified bicycle model 3
Ackerman Steering
Longitudinal & lateral velocities of the bicycle model 1
Longitudinal & lateral velocities of the bicycle model 2
Equations of motion in the lateral direction
Lateral & centripetal acceleration
Centripetal acceleration intuition & mathematical derivation 1
Centripetal acceleration intuition & mathematical derivation 2
Centripetal acceleration intuition & mathematical derivation 3
Modelling the front wheel of the vehicle 1
Rewriting lateral forces in terms of front wheel angles
Modelling the front wheel of the vehicle 2
Modelling the front wheel of the vehicle 3
Modelling the front wheel of the vehicle 4

Vehicle's state-space & Linear Time Invariant (LTI) model for lateral control :
From equations of motion to state-space equations 1
From equations of motion to state-space equations 2
From equations of motion to state-space equations 3
From equations of motion to state-space equations 4
The meaning of states 1
The meaning of states 2
Adding extra states to the system
Computing new states in the open loop system 1
Computing new states in the open loop system 2
Computing new states in the open loop system 3
Simplifying systems with small angle assumptions
Nonlinear VS Linear Time Invariant (LTI) models
Connecting LTI matrices with the vehicle's inputs
Getting LTI model using small angle approximation 1
Getting LTI model using small angle approximation 2
Getting LTI model using small angle approximation 3 + Recap

Model Predictive Control - Intuition - Rocket example :
Model Predictive Control - Intro
Model Predictive Control - Thrust levels
Model Predictive Control - Cost function
Model Predictive Control - Cost function having several variables 1
Model Predictive Control - Cost function having several variables 2
Model Predictive Control - Cost function weights
Model Predictive Control - Horizon period
Model Predictive Control - measured VS predicted outputs (Kalman Filter)
Model Predictive Control - Quadratic VS other cost functions 1
Model Predictive Control - Quadratic VS other cost functions 2
Model Predictive Control - Quadratic VS other cost functions 3
Model Predictive Control - Quadratic VS other cost functions 4

Model Predictive Control - Mathematical Derivation - autonomous vehicle example :
Model Predictive Control - Math - 1
Model Predictive Control - Math - 2
Model Predictive Control - Math - 3
Model Predictive Control - Math - 4
Model Predictive Control - Math - 5
Model Predictive Control - Math - 6
Model Predictive Control - Math - 7
Model Predictive Control - Math - 8
Model Predictive Control - Math - 9
Model Predictive Control - Math - 10
Model Predictive Control - Math - 11
Model Predictive Control - Math - 12
Model Predictive Control - Math - 13
Model Predictive Control - Math - 14
Model Predictive Control - Math - 15
Model Predictive Control - Math - 16
Model Predictive Control - Math - 17
Model Predictive Control - Math - 18
Model Predictive Control - Math - 19
Model Predictive Control - Math - 20
Model Predictive Control - Math - 21
Derivation of the gradient of a quadratic vector-matrix form 1
Derivation of the gradient of a quadratic vector-matrix form 2
Derivation of the gradient of a quadratic vector-matrix form 3
Derivation of the gradient of a quadratic vector-matrix form 4
Derivation of the gradient of a quadratic vector-matrix form 5

Model Predictive Control - Python Simulation - autonomous vehicle :
Intro to the simulator
Recap of the course
Explanation of the code files 1
Explanation of the code files 2
Discussing the simulation results
Aligning yourself with a fixed reference line SMOOTHLY
1 question
PID VS Model Predictive Control (MPC) 3
The Simulation Python codes - Model Predictive Control

Bonus :
INTUITION MATTERS! Applied Calculus for Engineers - Complete

مشخصات این مجموعه :
زبان آموزش ها انگلیسی روان و ساده
دارای آموزشهای ویدیویی و دسته بندی شده
ارائه شده بر روی 2 حلقه دیسک
مدت زمان آموزش 14 ساعت و 19 دقیقه !
محصول موسسه آموزشی Udemy