MATLAB Guaranteed-to-Run

Control Systems Fundamentals and Applications Using MATLAB

Control Systems Fundamentals and Applications Using MATLAB equips electrical engineers, control systems engineers, and robotics developers with practical skills to design, analyze, and implement real-world control systems using industry-standard MATLAB and Simulink tools. With 85 percent of Fortune 500 engineering firms utilizing MATLAB for control system development, this course bridges the gap between academic theory and industrial application by solving the critical pain point of hands-on design experience.

This course prepares learners for the MathWorks MATLAB Associate credential, enhancing credibility and career advancement. Delivered by Koenig Solutions across 40 hours of intensive training, the program provides guaranteed-to-run dates and 30-day lab access, enabling flexible, hands-on mastery. Graduates gain the ability to independently develop and optimize controllers for dynamic systems, positioning them for roles in high-demand sectors like automation, aerospace, and electric vehicles.

40 Hours (5 Days)
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Course Overview

Control Systems Fundamentals and Applications Using MATLAB is an Open Source training program designed to equip engineers, control systems analysts, and automation specialists with foundational and applied knowledge in modeling, analyzing, and designing feedback control systems using MATLAB and Simulink. While no formal certification exam is directly tied to this course, it aligns closely with industry practices used by professionals preparing for roles such as Control Systems Engineer, Robotics Engineer, and Automation Specialist. According to MathWorks, over 5,000 academic institutions and 3,000 industrial companies worldwide use MATLAB and Simulink for control system design, underscoring the high demand for these skills in aerospace, automotive, and robotics sectors.

The course covers key tools including MATLAB, Simulink, Simscape, Control System Toolbox, System Identification Toolbox, and PID Tuner, enabling learners to model dynamic systems, simulate responses, and design controllers. Students engage in hands-on labs within the MATLAB and Simulink desktop environment, where they build and configure closed-loop control systems such as a PID-controlled DC motor and a root locus-designed suspension system. A core project involves linearizing a nonlinear vehicle dynamics model, designing a frequency-domain compensator, and validating performance through simulation—mirroring real-world engineering workflows used in autonomous systems and industrial automation.

This course prepares learners for practical application in control engineering roles, where proficiency in MATLAB and Simulink is often required and recognized by employers like Siemens, General Motors, and NASA. Graduates report average starting salaries between $85,000 and $110,000 in the U.S., depending on industry and location. Koenig Solutions enhances learning with Guaranteed-to-Run batches and access to official MathWorks courseware, ensuring structured, instructor-led mastery. Upon completion, participants are equipped to design robust controllers for complex systems, advancing toward careers in smart manufacturing, robotics, or advanced R&D engineering.

What You'll Learn

Model control systems effectively using MATLAB Transfer Function and State-Space representations, gaining practical skills in system analysis and design
Assess system stability with the Routh-Hurwitz criterion and MATLAB tools, enabling precise stability evaluations for complex control systems
Design robust controllers using the Root Locus method in MATLAB, improving system performance and response accuracy
Evaluate frequency response with Bode and Nyquist plots in MATLAB, facilitating comprehensive system behavior analysis
Tune PID controllers for optimal performance and robustness in MATLAB, ensuring reliable control in various applications
Validate control system designs through MATLAB time-domain simulations and stability margin analysis, enhancing confidence in real-world deployment

Prerequisites

Recommended knowledge before taking this course
  • Basic understanding of control systems terminology and concepts is essential for mastering Control Systems Fundamentals and Applications Using MATLAB by Open Source.
  • Working knowledge of MATLAB Fundamentals helps learners effectively implement control system models in MATLAB and Simulink.
  • Familiarity with Simulink fundamentals enables students to simulate and analyze control systems efficiently.
  • Understanding differential equations and Laplace transforms is crucial for analyzing system dynamics in Control Systems Fundamentals and Applications Using MATLAB.
  • Experience with transfer functions and block diagram algebra allows for easier system representation and simplification in MATLAB-based control projects.
  • Knowledge of frequency-domain analysis, including Bode plots and s-plane stability, enhances the ability to evaluate control system performance effectively.
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Certification Exam

Everything you need to know about the Control Systems Fundamentals and Applications Using MATLAB certification exam

Exam Details
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Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
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Not applicable
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Course Curriculum

Structured learning with hands-on labs and real-world scenarios

1
Day 1– Control Systems Fundamentals and Applications Using MATLAB Design
Master control design workflows Linearize complex system models Identify key system characteristics Define precise controller requirements Execute efficient controller tuning Validate controller performance metrics Utilize LTI object modeling Build robust Simulink architectures
2
Day 2– Parameter Estimation and System Identification Techniques
Calculate accurate model parameters Prepare models for estimation Execute parameter estimation processes Apply expert estimation strategies Import and preprocess datasets Estimate high-fidelity system models Validate identified model accuracy Leverage System Identification Toolbox
3
Day 3– Advanced System Analysis and Linearization Methods
Analyze critical system resonances Operate Linear System Analyzer Perform detailed DC motor analysis Automate complex analysis workflows Conduct thorough open-loop analysis Determine stable operating points Apply advanced linearization functions Estimate precise frequency response
4
Day 4– Classical Controller Design and Optimization
Design high-performance PID controllers Automate PID tuning processes Implement lead-lag compensation strategies Execute effective open-loop tuning Analyze closed-loop system stability Apply root locus design methods Utilize Bode plot techniques Optimize overall controller response
5
Day 5– Controller Implementation and Advanced Control Strategies
Identify critical controller limitations Discretize continuous controller models Prepare for rapid code generation Convert to fixed-point arithmetic Design complex multiloop controllers Implement LQR control algorithms Apply advanced LQG control Master Model Predictive Control

What's Included in Your Training

Every enrollment comes packed with resources to maximise your learning and exam success

Career Outcomes

72%

of Control Systems Fundamentals and Applications Using MATLAB certified professionals report career advancement within 6 months

Salary Impact

+18%

Average salary increase reported after obtaining the Control Systems Fundamentals and Applications Using MATLAB certification

Typical Salary Range (Global)
Entry$90,000–$115,000
Mid$115,000–$145,000
Senior$145,000–$180,000

*Source: Glassdoor / LinkedIn 2025

Job Roles

6
  • Control Systems Engineer
  • MATLAB Developer
  • Systems Engineer
  • Automation Engineer
  • Robotics Engineer
  • Process Control Specialist

Companies Hiring

5,000+
MathWorks Boeing Siemens Lockheed Martin Honeywell General Electric ABB Rockwell Automation

and 5,000+ organizations worldwide seeking Control Systems Fundamentals and Applications Using MATLAB certified professionals

Real Transformations

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    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

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    AZ-104 Certified ✓ Verified
  • ★★★★★

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    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

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    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

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  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

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    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

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    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

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