Modelling, Simulation and Control with Hands-on Using MATLAB

LEVEL: INTERMEDIATE                    HRDF: CLAIMABLE 

Process Applying MBOT

TRAINERS: 

Dr. Kishore Bingi, Dr. Madiah Binti Omar & Associate Professor Ir. Dr. Rosdiazli Ibrahim 

 

13 - 14 AUGUST 2025

 

UNIVERSITI TEKNOLOGI PETRONAS

Persiaran UTP, 32610 Seri Iskandar, Perak

 

9.00AM - 5.00PM

 

RM 2,850 FOR PROFESSIONALS

10% Discount for Early Bird (until 13 July 2025) / Group / Students

CONTENT SUMMARY

INTRODUCTION

Modelling, Simulation, and Control (MSC) has emerged as a pivotal domain in modern technological advancements, catering to diverse industries ranging from aerospace and automotive engineering to healthcare and finance. This interdisciplinary domain involves the development of mathematical models that replicate real-world systems, followed by simulation techniques to analyze their behaviours and optimize performance. Integrating control strategies within this framework further empowers us to regulate and manipulate these systems precisely. MSC not only accelerates innovation by providing a cost-effective and risk-reduced platform for experimentation but also aids in making informed decisions, driving efficiency, and enhancing safety across various sectors.

Industries can simulate intricate scenarios, predict outcomes, and fine-tune system parameters to achieve desired objectives by employing mathematical models, simulation techniques, and control methodologies. This synergy between modelling, simulation, and control paves the way for streamlined product development, efficient resource management, and the implementation of sophisticated autonomous systems. As technologies continue to evolve, the MSC field continues to evolve, enabling businesses to navigate complex challenges and seize opportunities with unprecedented confidence and competence. 

COURSE CONTENT

Introduction to Modeling and Simulation

  • Basics of Modeling and Simulation
  • Types of Mathematical Models
  • Model Formulation and Assumptions
  • Model Validation and Verification
  • Simulation Methods and Tools

Dynamical Systems and Control Theory

  • Introduction to Dynamical Systems
  • Linear and Nonlinear Systems
  • Stability Analysis
  • Feedback Control Systems
  • PID Control and Tuning
  • State-Space Representation

Computational Methods for Simulation

  • Numerical Integration Methods
  • Finite Difference Methods
  • Finite Element Methods
  • Discretization Techniques

Optimization and Decision-Making

  • Introduction to Optimization
  • Single-Objective Optimization
  • Multi-Objective Optimization
  • Constraint Handling
  • Uncertainty and Risk in Decision-Making

Model Validation and Verification

  • Importance of Model Validation
  • Data-Driven Model Validation Techniques
  • Sensitivity Analysis
  • Statistical Methods for Model Validation
  • Model Calibration and Uncertainty Quantification

Real-world & Advanced Topics in Control and Simulation Applications

  • Adaptive Control Strategies
  • Optimal Control Theory
  • Model Predictive Control
  • Real-Time Simulation Techniques
  • Integration of AI in Control Systems
  • Emerging Trends in Simulation and Control

Hands-on examples from applications/fields

  • Case Study 1
  • Case Study 2



OBJECTIVES

Upon completion of this course, participants will be able to:

  • To apply various simulation techniques to analyze system performance, predict outcomes, optimize parameters and gain proficiency in designing and implementing control algorithms to regulate and enhance system behavior, considering stability, responsiveness, and robustness. 
  • To perform and interpret simulation outcomes, assess model uncertainties, and apply optimization techniques to make sound decisions that align with system objectives.
  • Applying topics such as optimization techniques in their applications in fine-tuning system parameters and making informed decisions.


WHO SHOULD ATTEND?

  • Anyone interested in system modelling and control systems 
  • Managers and Executives 
  • Engineers, Researchers & Consultants 
  • Start-ups Company
  • Junior/Senior Lecturers





OUR TRAINERS

1. Dr. Kishore Bingi  (UTP)

Kishore Bingi is a lecturer at the Electrical and Electronic Engineering Department and member of the Center for Systems Engineering at Universiti Teknologi PETRONAS (UTP). He obtained his Master’s degree from the National Institute of Technology Calicut, India and his PhD from UTP, Malaysia. He worked as an Assistant Systems Engineer at TATA Consultancy Services Limited, India. He also worked as Research Scientist and Post-Doctoral Researcher at the Universiti Teknologi PETRONAS, Malaysia. He served as an Assistant Professor at the Process Control Laboratory, School of Electrical Engineering, Vellore Institute of Technology, India. His research area is developing fractional-order neural networks, including fractional-order systems and controllers, chaos prediction and forecasting, advanced hybrid optimization techniques, Artificial Intelligence and Systems Engineering. He is an IEEE and IET Member and a registered Chartered Engineer (CEng) from Engineering Council UK. He currently serves as an Editorial Board Member/Academic Editor/Guest Editor for the International Journal of Applied Mathematics and Computer Science, Mathematical Problems in Engineering, Journal of Control Science and Engineering, and Fractal and Fractional. He has published over 50 articles in international journals and conference proceedings and has delivered over 15 lectures at international conferences, as well as four books and 6 book chapters.

2. Dr. Madiah Omar  (UTP)

MADIAH OMAR is a lecturer under Chemical Engineering Department at Universiti Teknologi PETRONAS (UTP), Seri Iskandar, Perak, Malaysia. She is a classy IR4.0 academician with over 6 years of experience in Artificial Intelligence (AI), Modelling, Predictive Maintenance, Digital Twin, Hardware Integration and System Engineering for Rotating Equipment and Chemical Processes Applications. Driven to bridge academia and industry together, her work involves multiple industrial collaborators and experience in machine learning deployment to the field. Her current interest in IR4.0 focuses on transforming brilliant AI ideas into products.

3. Associate Professor Ir. Dr. Rosdiazli Ibrahim  (UTP)

ROSDIAZLI B. IBRAHIM is an Associate Professor under Electrical and Electronics Engineering Department at Universiti Teknologi PETRONAS (UTP), Seri Iskandar, Perak, Malaysia. He is an experienced academician with over 25 years of involvement in Advanced Process Control, Automation, Intelligent Systems, Wireless Technology and Robotics. He secured multiple fundamental research, prototype, and industrial consultancy grants for his work. He owns 5 patents to date, and his current interest includes Predictive Maintenance, Artificial Intelligence and System Engineering for various applications.

COUNTDOWN

DaysHoursMinutesSeconds

REGISTRATION FEES

PROFESSIONALS

MYR2,850*

*fee quoted does not include SST, HRDF service fee, GST/VAT or withholding tax (if applicable).

EARLY BIRD/ GROUP/ STUDENT

MYR2,565*

*fee quoted does not include SST, HRDF service fee, GST/VAT or withholding tax (if applicable).

OUR LOCATION

Centre for Advanced & Professional Education (CAPE)

 Level 8, Permata Sapura, Kuala Lumpur City Centre, 50088 Kuala Lumpur​

CALL US

+605 - 368 7558 /

+605 - 368 8485

DROP US AN EMAIL

cape@utp.edu.my