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Autonomous Vehicle Controls using MATLAB and Simulink in Delhi

Pursue the 3-month autonomous car course curated by industry experts and gain in-demand skills. Our mentor-led course will take you through the advanced concepts essential for developing ADAS control systems using MATLAB and Simulink.

Book a Class, for FREE


Jayesh Suryawanshi

Volkswagen (I) Pvt. Ltd.,

RMD Sinhgad

Mithin SanthaKumar

Timetooth Technology

Cochin University of Science and Technology University in Kochi, Kerala

Manthan Waghaye

Altigreen Propulsion Labs Pvt Ltd

Shri Sant Gajanan Maharaj College Of Engineering

Hemant Sagar

KN Associates

PM polytechnic, Delhi ncr , sonipat

Jangaiah Chikonda



sai dinesh


usharama college of engineering and technology

Vadapalli A S Krishna Maruthi Srinivas

advance technologies

Jawaharlal Nehru Technological University, Kakinada

Manas Metar

Sphinix World Biz Limited

University of Wolverhampton


This course is full of best-in-class content by leading faculty and industry experts in the form of videos and projects

Course Overview

  • The students will learn and develop model-based control strategies for driver-assistant systems.
  • During the coursework, the students will learn the following concepts:
    • Various control strategies used to develop automotive systems
    • Hands-on experience in developing algorithms and interfaces for driver-assistant technologies
    • Model-based system engineering
  • Also, they will be able to build their own model for level 2 autonomous vehicle features and add modifications to improve the system capabilities
  • The course will give an overview of the software tools such as MATLAB and Simulink which are widely used in the industry.
  • The students are exposed to the modern trends and standard practices being followed in the industry right now.
  • This course forms the foundation for anyone wanting to pursue a career in this domain.

Course Syllabus in Delhi

On a daily basis we talk to companies in the likes of Tata Elxsi and Mahindra to fine tune our curriculum.

Week 1 - Course Overview and Classical control

  • Course overview:
    • Introduction
    • Overview of Automotive Systems Engineering
    • Program Management – Systems Engineering
  • Classical Controls Theory Overview
    • Stability Pole Zeros
    • Transient Performance
    • Disturbance and Tracking
    • PID Systems
    • Gain Selection and Tuning
    • Examples Comparing P, PI, PD, PID

Week 2 - Longitudinal Controller Design

  • Longitudinal Dynamic Model
  • Aero Drag and Rolling Resistance
  • Linearizing Longitudinal Model
  • Controller Design in Simulink
  • Normal Cruise Control Project
  • Performance Analysis Using Step Response

Week 3 - Adaptive cruise control model

  • Design and Develop ACC Control Algorithm and Model in Simulink
    • Feature Overview: Implementation, Sensor Sets, etc.
    • Headway Control Model
    • Speed Control Model
    • Switching Logic in State Flow Techniques
    • Controller Design and Tuning
    • Performance Tuning using Feed-Forward Method

Week 4 - Advanced ACC - ACC Feature Modification

  • Add Additional Functionality to the Model to Improve ACC Performance.
    • CACC overview: Cooperative ACC Model
    • Logic Implementation
    • A Complete Model with Ego Vehicle and Target Vehicle in Simulink
    • Simulation Scenarios and MIL 

Week 5 - Lateral Control for Vehicles - Geometric Method

  • Geometric Control Methods
  • Pure Pursuit Controller 
  • Lane Keep System Using Pure Pursuit
  • Stanley Controller
  • LKS Using Stanley

Week 6 - Lateral Controller Model for Vehicles- Dynamic Modeling

  • Lateral Control Model Elements and Overview
  • Bicycle Model
  • Tire Model
  • State Equation for Lateral Control Model
  • Introduction to MPC
  • Controller Design using MPC
  • Integration and Modelling in MATLAB

Week 7 - Lane Centering Assist

  • Develop a Level 2 Model for Lane Centering Assist
    • Lane Center Assist Logic
    • Feature Boundary Diagram and Functions
    • Steering Path Polynomial
    • Mode Manager and Fault Manager Design
    • Switching Logic for Scenarios
    • Model in Simulink

Week 8 - Complete Level 2 Feature Model - Autopilot

  • Combine the Models Developed Previously into a Single-vehicle Model and Simulate Scenarios with all Active Features
    • Introduction to System Architecture
    • Introduction to Electronic Horizon, HD Maps

Week 9 - LCA Modification: Assisted Lane Biasing and Assisted Lane Change

  • Assisted Lane Biasing Logic and Implementation
  • Assisted Lane Change Logic
  • Path Planning for ALC
  • Path Planning Function with LCA Model

Week 10 - Combined Controller - 5 DOF

  • Combined Model of Lateral and Longitudinal Control
  • Vehicle Dynamic Derivation for State Matrices
  • State-Space Mathematics for 5 DOF System
  • Implement a Single Controller System in Simulink

Week 11 - Advanced Topics in Controls for Autonomous Driving- Part 1

  • Predictive Speed Assist
    • Introduction to Predictive Speed Assist and Intelligent Speed Assist
    • Curve Speed Control Derivation
    • Pseudo Code for PSA and ISA
    • Integration of PSA with Velocity Control Logic
  • Control for Roundabout Scenarios
  • Minimum Risk Manuevers

Week 12 - Advanced Topics in Controls for Autonomous Driving- Part 2

  • AV Special Applications
    • Off-road Mining
    • Logistics and Supply Chain
    • Agricultural Activities
    • Smart Mobility
  • AV Special ODs
    • Toll Gates
    • U-turns in Dead-end
  • Other Control Techniques
    • Cascade Control
    • Nonlinear MPC
    • Sliding Mode Control
  • Future Topics for Research
    • Deep Reinforcement Learning
    • Machine Learning Applications in AVs

Our courses have been designed by industry experts to help students achieve their dream careers

Industry Projects in Delhi

Our projects are designed by experts in the industry to reflect industry standards. By working through our projects, Learners will gain a practical understanding of what they will take on at a larger-scale in the industry. In total, there are 2 Projects that are available in this program.

Design and Develop Adaptive Cruise Control Model in Simulink

In this project, the students will create a green wave traffic assist feature that recommends vehicle speeds such that the vehicle can be driven in the green wave and minimise stop time in traffic. The students will design and develop an ACC control algorithm and model in Simulink.

Develop an Integrated Automated Driving Model

In this project, the students will develop a level 2 model for lane centering assist and analyze the performance of different controller designs at different road/vehicle scenarios. They will gain hands on experience to develop an integrated automated driving model.

Our courses have been designed by industry experts to help students achieve their dream careers

Ratings & Reviews by Learners

Skill-Lync has received honest feedback from our learners around the globe.

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Explore the world of self-driving vehicles through Skill-Lync's Autonomous Vehicle Controls using MATLAB and Simulink course in Delhi

Skill-Lync's Autonomous Vehicle Controls using MATLAB and Simulink is one of the most extensive autonomous vehicle certification courses for Delhi students. The three-month program primarily focuses on the fundamentals of developing model-based control strategies for driver-assistant systems and their applications in the autonomous vehicle technology industry. 

But what is an autonomous vehicle? If you have the same question, this program will resolve all your queries and doubts. It is among the few industry-experts-led autonomous vehicle courses that guide students through the fundamentals of model-based control strategies using the latest software technology and tools such as MATLAB and Simulink. It would help you land high-demand jobs in the revolutionary, cutting-edge autonomous vehicles industry.

The program curriculum consists of a 12-week industry-oriented study plan covering crucial autonomous driver-assistant system concepts and tools, including- control strategies for automotive systems development, model-based system engineering, lateral controller model, ACC model, etc. It also comprises two complete projects to help deliver hands-on autonomous industry-standard training in Delhi.

Skill-Lync's industry-centric approach places this program among India's best autonomous vehicle courses. This course is available in three different options, each with its own set of benefits. You can select the one you prefer and embark on your journey to get upskilled. Regardless, Skill-Lync will provide you with dedicated technical support throughout the course.


Why should I go for Skill-Lync's Autonomous Vehicle Controls using MATLAB and Simulink course in Delhi?

With the current boom in the new-age, autonomous vehicle technology space, enrolling in this program can establish you on the right career trajectory for in-demand job roles in automotive technology, autonomous vehicles technology, AI/ML, and other affiliated domains.

What are the prerequisites for taking Skill-Lync's Autonomous Vehicle Controls using MATLAB and Simulink course in Delhi?

There are no prerequisites for this course. It is open to all students, professionals, and anyone interested in a career in the cutting-edge autonomous technology and control & automation industries.

What is Delhi's program fee for Skill-Lync's Autonomous Vehicle Controls using MATLAB and Simulink course?

The course fee is flexible and is available in three plans. The basic plan provides you with two months of access at INR 7000 per month for three months, the Pro plan provides you with four months of access at INR 10,000 per month for three months and the Premium plan provides you lifetime access at INR 15,000 per month for three months.

What are the benefits of pursuing Skill-Lync's Autonomous Vehicle Controls using MATLAB and Simulink course in Delhi?

As one of the best autonomous vehicle courses, it offers many benefits to you.

  • Industry-oriented curriculum.
  • Hands-on experience in solving industry projects.
  • Email and forum support from the technical support team to clear your doubts.
  • A certificate of completion for all participants and a merit certificate for the top 5% of the scorers.

What are the career prospects after completing Skill-Lync's Autonomous Vehicle Controls using MATLAB and Simulink course in Delhi?

After successful completion of this course, you get upskilled to apply to several in-demand job positions in Delhi, including-

  • Autonomous Vehicles Test Engineer
  • Control Systems Research Engineer
  • Automation and Validation Engineer
  • Autonomous Vehicles Motion Planning Engineer

What is the expected salary range after completing Skill-Lync's Autonomous Vehicle Controls using MATLAB and Simulink course in Delhi?

The expected salary for an automotive system engineer ranges from INR 1.7 Lakhs to INR 12.1 Lakhs, with an average annual salary of INR 4.5 Lakhs.

Can you tell me more about Skill-Lync?

Skill-Lync is among India's leading EdTech platforms dedicated to transforming engineering education. We equip young engineers with the latest skill sets and cutting-edge tools in new-age technologies.

The brainchild of two engineers, Skill-Lync, is on a mission to bridge the skill gap between aspiring professionals and the industry's demands through job-oriented courses.

Flexible Pricing

Talk to our career counsellors to get flexible payment options.


INR 40,000

Inclusive of all charges

Become job ready with our comprehensive industry focused curriculum for freshers & early career professionals

  • 1 Year Accessto Skill-Lync’s Learning Management System (LMS)

  • Personalized Pageto showcase Projects & Certifications

  • Live Individual & Group Sessionsto resolve queries, Discuss Progress and Study Plans.

  • Personalized & Hands-OnSupport over Mail, Telephone for Query Resolution & Overall Learner Progress.

  • Job-Oriented Industry Relevant Curriculumavailable at your fingertips curated by Global Industry Experts along with Live Sessions.

Instructors profiles

Our courses are designed by leading academicians and experienced industry professionals.


1 industry expert

Our instructors are industry experts along with a passion to teach.


4 years in the experience range

Instructors with 4 years extensive industry experience.


Areas of expertise


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