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USAINS Holding  |  SAINS@USM

TRAINING @ USAINS

Transforming Automotive, Aerospace, Robotics & Industrial Automation with Model-Based Design (MBD)

Model-Based Design (MBD) is transforming industries by integrating simulation, validation, and automatic code generation into a single development workflow. Companies worldwide—including Toyota, Airbus, and ABB—use MATLAB & Simulink to streamline control system design, AI-driven modeling, and embedded software development across mission-critical applications.

01: Control Design Made Easy with Model-Based Design

📅 10 April 2025 | 10.00 AM – 11.00 AM (GMT+8) | Online Via ZOOM

Control system design is at the core of modern engineering applications, requiring precision and efficiency across industries such as automotive, aerospace, robotics, and industrial automation. Traditional control design workflows can be complex and time-consuming. 
 
This webinar will demonstrate how MBD simplifies control system development by allowing engineers to design, simulate, and optimize controllers in a unified environment before hardware implementation. Through practical demonstrations and expert insights, you’ll gain a deeper understanding of how to efficiently design and test control systems, improving accuracy and performance while reducing development time. 

Highlights 
•  Introduction to MBD for control design. 
•  Developing controllers using simulation and rapid prototyping. 
•  Tuning and optimizing control parameters. 
•  Case studies from real-world applications.  

Presented by
Athaariq Ramadhani
Application Engineer
TechSource Systems Pte Ltd

02: Plant Modeling for System Simulation Made Easy

📅 22 April 2025 | 03.00 PM – 04.00 PM (GMT+8) | Online Via ZOOM 

Plant modeling is a crucial step in control system development, enabling engineers to simulate real-world systems before implementation. Modeling real-world physical systems is challenging.  This session will cover various modeling techniques from first principals to multi-domain physical modeling, and their role in system simulation, validation, and digital twin development. 

Whether you're working on control design, system integration, or predictive simulations, this session will provide a practical approach to building accurate models without needing to derive complex mathematical equations manually. 

Highlights 
•    Fundamentals of plant modeling and system dynamics. 
•    Developing physics-based and data-driven models. 
•    Integrating plant models with control designs for closed-loop simulation. 
•    Case studies on automotive, robotics, and industrial automation. 

Presented by
Duong Quang Huy
Application Engineer
Ascendas Systems Co., Ltd.

03: AI-Powered Model-Based Design for Smart Systems

📅 8 May 2025 | 03.00 PM – 04.00 PM (GMT+8) | Online Via ZOOM 

Artificial Intelligence (AI) is transforming engineering workflows by enhancing decision-making and control strategies.

This session will explore how AI can be integrated within Model-Based Design (MBD) frameworks to develop intelligent control systems. Topics include AI applications in system modeling, control system development, embedded deployment, and regulatory compliance.  

Highlights 
•  AI for Control & System Modeling: Using AI for virtual sensors, system identification, and reduced-order modeling.  
• Deploying AI on Embedded Systems: Techniques for optimizing AI models for microcontrollers, FPGAs, and automotive ECUs.  
•  Regulatory Compliance & AI Verification: Ensuring AI meets safety and certification standards.  
•  AI with MBD Capabilities: MBD facilitates AI integration in real-world engineering applications. 


Presented by
Supamith Sutharojana 
Application Engineer Team Lead
Ascendas Systems Co., Ltd.

04: Verification, Validation & Automated Code Generation for Embedded Systems

📅 20 May 2025 | 03.00 PM – 04.00 PM (GMT+8) | Online Via ZOOM 

Ensuring system reliability through verification, validation, and automated code generation is crucial in mission and safety-critical applications.

This webinar will showcase best practices for testing, validating, and deploying control algorithms efficiently using Model-Based Design. MBD enhances software quality while meeting safety and certification requirements in industries such as automotive, aerospace, and industrial automation. 

Highlights 
•  Model-Based Design Workflow – From system modeling to production code generation 
•  Automatic Code Generation – Generating optimized, production-ready code from Simulink models 
• Code Verification Techniques – Leveraging back-to-back testing, software-in-the-loop (SIL), and hardware-in-the-loop (HIL) validation 

Presented by
Romeo Cabading
Principal Application Engineer
TechSource Systems Pte Ltd 

Contact Person :

Lee Wei Sin (This email address is being protected from spambots. You need JavaScript enabled to view it.)

Nurul Nadia (This email address is being protected from spambots. You need JavaScript enabled to view it.)

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