This course aims to provide an in-depth understanding of the uses and benefits of modelling physical systems and dynamic simulation. During the course, we will cover how to build models, how to assess the reliability of the results, and how to fine-tune existing models. We will build models directly from the data (black-box models), from first-principles (whitebox models), or perhaps using a mixture of methods.

(1) The uses and benefits of simulation, and how it can help shorten your development time. 
(2) An exposure of the various simulation tools available, and what they are best suited for.
(3) An introduction to Simulink and associated modeling tools
(4) Building dynamic models from experimental data, and then validating these models
(5) Understanding the underlying principles of the simulation tool, and avoiding common modeling errors.
(6) Making your models simulate faster
(7) Monte-Carlo simulations

Throughout the course we will look at a wide variety of different models from many different disciplines such as electrical engineering, fisheries bio-economics, financial transactions, and chemical reactions to name but a few.

We particularly welcome you to bring along your own problems and data, and challenge the instructor to solve them.

• Scientists & Engineers working with data wanting to build models
• Management Consultants

We particularly welcome you to bring along your own problems and data, and challenge the instructor to solve them. 

We recommend that delegates have some basic knowledge of MATLAB or that they familiarise themselves with MATLAB before attending the course.

Register today to secure your spot on the course.

David Wilson is an Associate Professor in the Department of Electrical & Electronic Engineering at the Auckland University of Technology. He is also a director of the Industrial Information and Control Centre, (I2C2) which is a joint collaboration with the University of Auckland involved with process control, modelling and optimisation of industrial processes.

Before joining AUT University, he was a senior lecturer in Sweden and Switzerland working with pulp and paper companies Swiss pharmaceutical companies, and government sponsored environmental projects.
 
David’s research interests lie in model predictive control, GPS applications in the marine industry, and modelling and simulation of a wide variety of applications spanning the finance, agriculture, fishing and manufacturing industries.

David received his Ph.D. from the University of Queensland in 1990, and a BE (Chemical & Materials) from the University of Auckland.

Simulink is a block-diagram modelling environment for simulating dynamic systems, evaluating performance, and refining control, DSP, and communications system designs. Simulink block diagrams provide a highly interactive environment for nonlinear simulation. You can run simulations from both pull-down menus or in batch mode from the command line. Results are displayed “live” during simulations using scope and graph blocks.
 
Where MATLAB offers a familiar programming environment, Simulink and Stateflow provide a graphical design environment for modelling and simulating complex control, DSP and supervisory logic systems.  Built on MATLAB, these products can call any MATLAB function including user-written routines, allowing you to combine the best of both approaches. Even toolbox functions can be embedded within Simulink block-diagram models.

This is a one day course and we recommend that you have some knowledge of using MATLAB or have attended at least our Introduction to MATLAB course prior to attending this course.

Course Fee: Your investment is $995 + GST per person.

Early Bird Price: Register with your confirmed payment details before 1 October and pay only $845 + GST per person.

Other Training: The other MATLAB training courses you may register for are:

• Introduction to MATLAB
• Intermediate MATLAB
• Advanced MATLAB
• Control design with MATLAB
• Simulation with Simulink & MATLAB
• Optimisation with MATLAB
• High Performance Computing with MATLAB

Student Prices: Student pricing is available for those who are full time students and able to produce a current student ID. Please contact Bruce.

Payment: We will invoice you after the course and are happy to accept payments by MasterCard, VISA or company purchase order.

Payments will be processed after course completion, but we do require your PO# or credit card details in advance to secure your place on the course. Please supply your payment details when you register!

Cancellation: We allow cancellation at no fee until 10 days prior to the course, after that date payment is required. Course attendees can be substituted to avoid cancellation.

Course Start Time: The course starts at 9.00am and finishes around 5.00pm. Lunch will be provided on the day and pay parking is available in the vicinity. You will be sent full course details by email when you register.

In-House Training Option:

If you have several people in your organisation who need training, or if you want a specialised presentation of the methods, then contact HRS about a customised course in your own premises.

We regularly train groups of people on-site in a wide variety of industries and locations spanning from government departments, financial institutions, engineering companies, and basic research groups. We make an effort to customise the courses to suit your problems and your interests.

To register for this training course click on the registration link to the right below and fill in the form.

Alternatively, you can download the training brochure, which is a brief overview of the information on this page and has a printable registration form that you can either fax or post to us. 

For more information email Bruce or phone him on 0800 477 776.